Publications
1.
Hung, S. C.; Zhang, X.; Festag, A.; Chen, K. C.; Fettweis, G.
Vehicle-Centric Network Association in Heterogeneous Vehicle-to-Vehicle Networks Journal Article
In: IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 5981-5996, 2019.
Abstract | Links | BibTeX | Tags: Cooperative ITS, handover, Intelligent Transport Systems, optimization, V2X communication
@article{Hung:TransVehTechn:2019,
title = {Vehicle-Centric Network Association in Heterogeneous Vehicle-to-Vehicle Networks},
author = {S. C. Hung and X. Zhang and A. Festag and K. C. Chen and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/8686054},
doi = {10.1109/TVT.2019.2910324},
year = {2019},
date = {2019-04-11},
urldate = {2019-04-11},
journal = {IEEE Transactions on Vehicular Technology},
volume = {68},
number = {6},
pages = {5981-5996},
abstract = {Safe and reliable operation of future autonomous vehicles requires ultra-low latency vehicle-to-vehicle (V2V) networking. However, due to scalability issues of purely ad hoc network, vehicle-to-infrastructure (V2I) communication is still in demand. To avoid interference between V2V and V2I communications, conventional network association such as handover may generate a large amount of control and signaling overhead, especially in environments with high-speed mobility and small-coverage access points. Taking the additional latency caused by the overhead into consideration, a vehicle-centric approach is proposed to guarantee the low-latency requirements of the V2V networks. Different from solely optimizing the latency performance, the proposed approach focuses on effectively operating the network association and resources re-allocation. This avoids the massive exchange of control information and signaling and reduces its impact on latency. The proposed framework for V2V networking can underlay different virtual cells with a constrained network association rate and we can derive the corresponding upper bound of the latency performance. Analysis and simulation results indicate that our scheme successfully guarantees the upper bound of the latency and simultaneously constrains the network association rate, thus limiting the additional control exchange and signaling overhead.},
keywords = {Cooperative ITS, handover, Intelligent Transport Systems, optimization, V2X communication},
pubstate = {published},
tppubtype = {article}
}
Safe and reliable operation of future autonomous vehicles requires ultra-low latency vehicle-to-vehicle (V2V) networking. However, due to scalability issues of purely ad hoc network, vehicle-to-infrastructure (V2I) communication is still in demand. To avoid interference between V2V and V2I communications, conventional network association such as handover may generate a large amount of control and signaling overhead, especially in environments with high-speed mobility and small-coverage access points. Taking the additional latency caused by the overhead into consideration, a vehicle-centric approach is proposed to guarantee the low-latency requirements of the V2V networks. Different from solely optimizing the latency performance, the proposed approach focuses on effectively operating the network association and resources re-allocation. This avoids the massive exchange of control information and signaling and reduces its impact on latency. The proposed framework for V2V networking can underlay different virtual cells with a constrained network association rate and we can derive the corresponding upper bound of the latency performance. Analysis and simulation results indicate that our scheme successfully guarantees the upper bound of the latency and simultaneously constrains the network association rate, thus limiting the additional control exchange and signaling overhead.
2.
Fritzsche, R.; Festag, A.
Reliability Maximization with Location-Based Scheduling for Cellular-V2X Communications in Highway Scenarios Proceedings Article
In: IEEE 16th International Conference on Intelligent Transportation Systems Telecommunications (ITST), Lisbon, Portugal, 2018.
Abstract | Links | BibTeX | Tags: Cooperative ITS, Intelligent Transport Systems, optimization, V2X communication
@inproceedings{Fritzsche:ITST:2018,
title = {Reliability Maximization with Location-Based Scheduling for Cellular-V2X Communications in Highway Scenarios},
author = {R. Fritzsche and A. Festag},
url = {https://ieeexplore.ieee.org/document/8566935},
doi = {10.1109/ITST.2018.8566935},
year = {2018},
date = {2018-10-15},
urldate = {2018-12-10},
booktitle = {IEEE 16th International Conference on Intelligent Transportation Systems Telecommunications (ITST)},
address = {Lisbon, Portugal},
abstract = {Advanced applications in intelligent transport systems (ITS) are based on V2X (vehicle-to-everything) communications. In order to share information about, e.g., vehicle status, critical events or perceived objects in the vicinity, respective services suggest direct communication links (device-to-device) among vehicles, as introduced in ITS-G5 and Cellular-V2X. A major challenge for direct communications systems is the utilization of available radio resources.In this work, we present a resource scheduling scheme based on vehicle locations, aiming to maximize the reliability of message transmission in highway scenarios, considering a given bandwidth. The scheme consists of two steps: first we determine the optimal distance between vehicles utilizing equivalent radio resources. We extend our previous work and provide a closed form solution for the outage probability. The quasi-convex expression can be solved with standard optimization algorithms. In the second step, we propose radio resource allocation strategies that rely on the optimal scheduling distance. Finally, we evaluate the performance of our proposed scheme compared to a fixed scheduling distance.},
keywords = {Cooperative ITS, Intelligent Transport Systems, optimization, V2X communication},
pubstate = {published},
tppubtype = {inproceedings}
}
Advanced applications in intelligent transport systems (ITS) are based on V2X (vehicle-to-everything) communications. In order to share information about, e.g., vehicle status, critical events or perceived objects in the vicinity, respective services suggest direct communication links (device-to-device) among vehicles, as introduced in ITS-G5 and Cellular-V2X. A major challenge for direct communications systems is the utilization of available radio resources.In this work, we present a resource scheduling scheme based on vehicle locations, aiming to maximize the reliability of message transmission in highway scenarios, considering a given bandwidth. The scheme consists of two steps: first we determine the optimal distance between vehicles utilizing equivalent radio resources. We extend our previous work and provide a closed form solution for the outage probability. The quasi-convex expression can be solved with standard optimization algorithms. In the second step, we propose radio resource allocation strategies that rely on the optimal scheduling distance. Finally, we evaluate the performance of our proposed scheme compared to a fixed scheduling distance.
3.
Fritzsche, R.; Festag, A.
Location-Based Scheduling for Cellular V2V Systems in Highway Scenarios Proceedings Article
In: IEEE Vehicular Technology Conference (VTC-Spring), Porto, Portugal, 2018.
Abstract | Links | BibTeX | Tags: Cooperative ITS, Intelligent Transport Systems, optimization, V2X communication
@inproceedings{Fritzsche:VTC:2018,
title = {Location-Based Scheduling for Cellular V2V Systems in Highway Scenarios},
author = {R. Fritzsche and A. Festag},
url = {https://ieeexplore.ieee.org/document/8417744},
doi = {10.1109/VTCSpring.2018.8417744},
year = {2018},
date = {2018-06-03},
booktitle = {IEEE Vehicular Technology Conference (VTC-Spring)},
address = {Porto, Portugal},
abstract = {In intelligent transport systems (ITS), vehicular users broadcast messages with ego information such as position, speed, and other. For exchanging ITS messages directly among vehicles via cellular sidelink transmission, the base station assigns dedicated V2V radio resources for users in coverage. To improve spectral efficiency, the same radio resource can be simultaneously scheduled to multiple vehicles within a cell, e.g., based on a minimum vehicle distance. This distance can be determined by location information obtained from ITS messages. In this work, we introduce a framework for location-based scheduling, exposing basic relations among cell spectral efficiency, communication range and reliability. Based on the framework we show that an optimal scheduling distance exists, which maximizes the cell throughput by guaranteeing range and reliability constraints. The optimized distance can then be utilized by the base station scheduler, which benefits from a closed form solution for the outage probability, derived in this work. We validate that the proposed form with its simplifications achieves a similar performance compared with the optimal solution, obtained by Monte Carlo simulations.},
keywords = {Cooperative ITS, Intelligent Transport Systems, optimization, V2X communication},
pubstate = {published},
tppubtype = {inproceedings}
}
In intelligent transport systems (ITS), vehicular users broadcast messages with ego information such as position, speed, and other. For exchanging ITS messages directly among vehicles via cellular sidelink transmission, the base station assigns dedicated V2V radio resources for users in coverage. To improve spectral efficiency, the same radio resource can be simultaneously scheduled to multiple vehicles within a cell, e.g., based on a minimum vehicle distance. This distance can be determined by location information obtained from ITS messages. In this work, we introduce a framework for location-based scheduling, exposing basic relations among cell spectral efficiency, communication range and reliability. Based on the framework we show that an optimal scheduling distance exists, which maximizes the cell throughput by guaranteeing range and reliability constraints. The optimized distance can then be utilized by the base station scheduler, which benefits from a closed form solution for the outage probability, derived in this work. We validate that the proposed form with its simplifications achieves a similar performance compared with the optimal solution, obtained by Monte Carlo simulations.
4.
González, A.; Kühlmorgen, S.; Festag, A.; Fettweis, G.
Resource Allocation for Block-Based Multi-Carrier Systems Considering QoS Requirements Proceedings Article
In: IEEE Global Communications Conference (Globecom), Singapore, 2017.
Abstract | Links | BibTeX | Tags: optimization, wireless communication
@inproceedings{Gonzalez:GLOBECOM:2017,
title = {Resource Allocation for Block-Based Multi-Carrier Systems Considering QoS Requirements},
author = {A. González and S. Kühlmorgen and A. Festag and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/8254649},
doi = {10.1109/GLOCOM.2017.8254649},
year = {2017},
date = {2017-12-04},
urldate = {2018-01-15},
booktitle = {IEEE Global Communications Conference (Globecom)},
address = {Singapore},
abstract = {Future 5G and beyond mobile networks target at services with a high degree of heterogeneity in terms of their communication requirements. To meet these requirements, different PHY numerologies would provide a better performance; still, all services must be served by a single network technology. Generalized Frequency Division Multiplexing (GFDM) is a good candidate for PHY virtualization where the dimensions of the data block can be dynamically configured in time and frequency. Allocating these blocks in a common spectrum every scheduling period leads to a "packing" problem, in which the QoS demands of the data flows need to be acknowledged. In this paper we consider the optimization of the data block allocation as a Knapsack problem. We incorporate the flows' QoS demands by means of utility theory, where utility functions provide a metric of urgency for a flow to be scheduled and the data block to be allocated. For the resulting two-dimensional geometric Knapsack problem we propose a heuristic solution, assess different design options and evaluate the performance in terms of data rate and queuing delay.},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {inproceedings}
}
Future 5G and beyond mobile networks target at services with a high degree of heterogeneity in terms of their communication requirements. To meet these requirements, different PHY numerologies would provide a better performance; still, all services must be served by a single network technology. Generalized Frequency Division Multiplexing (GFDM) is a good candidate for PHY virtualization where the dimensions of the data block can be dynamically configured in time and frequency. Allocating these blocks in a common spectrum every scheduling period leads to a "packing" problem, in which the QoS demands of the data flows need to be acknowledged. In this paper we consider the optimization of the data block allocation as a Knapsack problem. We incorporate the flows' QoS demands by means of utility theory, where utility functions provide a metric of urgency for a flow to be scheduled and the data block to be allocated. For the resulting two-dimensional geometric Knapsack problem we propose a heuristic solution, assess different design options and evaluate the performance in terms of data rate and queuing delay.
5.
Hung, S. C.; Zhang, X.; Festag, A.; Chen, K. C.; Fettweis, G.
Virtual Cells and Virtual Networks Enable Low-Latency Vehicle-to-Vehicle Communication Proceedings Article
In: IEEE Global Communications Conference (Globecom), Singapore, 2017.
Abstract | Links | BibTeX | Tags: handover, optimization, V2X communication
@inproceedings{Hung:GLOBECOM:2017,
title = {Virtual Cells and Virtual Networks Enable Low-Latency Vehicle-to-Vehicle Communication},
author = {S. C. Hung and X. Zhang and A. Festag and K. C. Chen and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/8254616},
doi = {10.1109/GLOCOM.2017.8254616},
year = {2017},
date = {2017-12-04},
urldate = {2018-01-15},
booktitle = {IEEE Global Communications Conference (Globecom)},
address = {Singapore},
abstract = {This paper presents a framework for pursuing lowlatency communication among V2V networks underlaying V2I networks. To achieve low-latency communication, solely relying on the improvement of the air-interface may not be enough. To cope with the highly dynamic environment of vehicular networks, a time dynamic optimization approach is proposed that improves the latency performance through not only optimization of spectrum resources but also by constraining the network switching rate. To further decrease the complexity of the time dynamic optimization problem, we convert the original problem to a deterministic optimization problem through the Lyapunov Optimization Theory. The proposed algorithm becomes a more suitable scheme for the vehicular network. Analytical results show that the proposed scheme can approach the best tradeoff between the latency performance and the network switching rate. Simulation results are provided to verify the proposed algorithm.},
keywords = {handover, optimization, V2X communication},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper presents a framework for pursuing lowlatency communication among V2V networks underlaying V2I networks. To achieve low-latency communication, solely relying on the improvement of the air-interface may not be enough. To cope with the highly dynamic environment of vehicular networks, a time dynamic optimization approach is proposed that improves the latency performance through not only optimization of spectrum resources but also by constraining the network switching rate. To further decrease the complexity of the time dynamic optimization problem, we convert the original problem to a deterministic optimization problem through the Lyapunov Optimization Theory. The proposed algorithm becomes a more suitable scheme for the vehicular network. Analytical results show that the proposed scheme can approach the best tradeoff between the latency performance and the network switching rate. Simulation results are provided to verify the proposed algorithm.
6.
Zhang, X.; Festag, A.; Fettweis, G.
Linear Precoder Design with Imperfect CSI in Underlay Device-to-Device Communication for a Vehicular Platooning Scenario Proceedings Article
In: IEEE Vehicular Technology Conference (VTC-Spring), Sydney, NSW, Australia, 2017.
Abstract | Links | BibTeX | Tags: optimization, wireless communication
@inproceedings{Zhang:VTCSpring:2017,
title = {Linear Precoder Design with Imperfect CSI in Underlay Device-to-Device Communication for a Vehicular Platooning Scenario},
author = {X. Zhang and A. Festag and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/8108249},
doi = {10.1109/VTCSpring.2017.8108249},
year = {2017},
date = {2017-06-04},
urldate = {2017-11-16},
booktitle = {IEEE Vehicular Technology Conference (VTC-Spring)},
address = {Sydney, NSW, Australia},
abstract = {This paper proposes a novel design for linear precoder in underlay Device-to-Device (D2D) communication using cellular network, specifically for a use case with vehicle-to-vehicle communication and platooning. To increase the communication reliability, we develop an optimization algorithm for precoder that takes into account the outage probability when channel state information (CSI) is only partially available at devices and transmission could be in outage. The algorithm aims at maximizing the sum throughput over each transmission link received at one device, while constraining the interference caused by the transmit power from each device to the cellular network. Due to the intractable form of outage probability, an extended Markov Inequality is used to transform the problem into an upper-bound expression. A two-step alternating algorithm is then adapted to solve the multi- variable optimization. The proposed algorithm is compared with other state-of-the-art technologies in the field of vehicular communication for achieving high throughput. Simulation results show that our proposed algorithm outperforms the current techniques and achieves higher average throughput with extremely low outage probability, thus enables reliable vehicle-to-vehicle communication for platooning in a D2D underlay setting.},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper proposes a novel design for linear precoder in underlay Device-to-Device (D2D) communication using cellular network, specifically for a use case with vehicle-to-vehicle communication and platooning. To increase the communication reliability, we develop an optimization algorithm for precoder that takes into account the outage probability when channel state information (CSI) is only partially available at devices and transmission could be in outage. The algorithm aims at maximizing the sum throughput over each transmission link received at one device, while constraining the interference caused by the transmit power from each device to the cellular network. Due to the intractable form of outage probability, an extended Markov Inequality is used to transform the problem into an upper-bound expression. A two-step alternating algorithm is then adapted to solve the multi- variable optimization. The proposed algorithm is compared with other state-of-the-art technologies in the field of vehicular communication for achieving high throughput. Simulation results show that our proposed algorithm outperforms the current techniques and achieves higher average throughput with extremely low outage probability, thus enables reliable vehicle-to-vehicle communication for platooning in a D2D underlay setting.
7.
Hung, S. C.; Zhang, X.; Festag, A.; Chen, K. C.; Fettweis, G.
An Efficient Radio Resource Re-Allocation Scheme for Delay Guaranteed Vehicle-to-Vehicle Networks Proceedings Article
In: IEEE Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, 2016.
Abstract | Links | BibTeX | Tags: optimization, V2X communication
@inproceedings{Hung:VTCFall:2016,
title = {An Efficient Radio Resource Re-Allocation Scheme for Delay Guaranteed Vehicle-to-Vehicle Networks},
author = {S. C. Hung and X. Zhang and A. Festag and K. C. Chen and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/7880896},
doi = {10.1109/VTCFall.2016.7880896},
year = {2016},
date = {2016-09-18},
urldate = {2017-03-20},
booktitle = {IEEE Vehicular Technology Conference (VTC-Fall)},
address = {Montreal, QC, Canada},
abstract = {To achieve low delay for vehicular communication in cellular networks, the use of direct device-to-device (D2D) communication among vehicles is regarded as a key functional requirement. When D2D users share the spectrum with regular cellular users (D2D underlay), resource allocation schemes assure the coexistence between D2D and cellular users. Due to the high mobility of the vehicles, the resources need to be reallocated, but frequent updates cause high signaling overhead and degrade the delay performance. In this paper, we present a radio resource re-allocation scheme for vehicular D2D users in a platoon scenario. The scheme reduces the re-allocation rate and gives delay guarantees for each vehicle. With the help of Lyapunov optimization, a closed form of the upper delay bound and resource re-allocation rate is also derived. The simulation results show that the proposed scheme can provide an delay upper bound and simultaneously minimizes the resource re-allocation rate.},
keywords = {optimization, V2X communication},
pubstate = {published},
tppubtype = {inproceedings}
}
To achieve low delay for vehicular communication in cellular networks, the use of direct device-to-device (D2D) communication among vehicles is regarded as a key functional requirement. When D2D users share the spectrum with regular cellular users (D2D underlay), resource allocation schemes assure the coexistence between D2D and cellular users. Due to the high mobility of the vehicles, the resources need to be reallocated, but frequent updates cause high signaling overhead and degrade the delay performance. In this paper, we present a radio resource re-allocation scheme for vehicular D2D users in a platoon scenario. The scheme reduces the re-allocation rate and gives delay guarantees for each vehicle. With the help of Lyapunov optimization, a closed form of the upper delay bound and resource re-allocation rate is also derived. The simulation results show that the proposed scheme can provide an delay upper bound and simultaneously minimizes the resource re-allocation rate.
8.
Zhang, X.; Fritzsche, R.; Festag, A.; Fettweis, G.
Linear Multi-Cell Precoding for Throughput Optimization Considering Outage Book Section
In: Utschick, W. (Ed.): Communications in Interference Limited Networks. Signals and Communication Technology, pp. 501-519, Springer, Cham, 2016.
Abstract | Links | BibTeX | Tags: optimization, wireless communication
@incollection{Zhang:DFG:2016,
title = {Linear Multi-Cell Precoding for Throughput Optimization Considering Outage},
author = {X. Zhang and R. Fritzsche and A. Festag and G. Fettweis},
editor = {W. Utschick},
url = {https://link.springer.com/chapter/10.1007/978-3-319-22440-4_21},
doi = {10.1007/978-3-319-22440-4_21},
year = {2016},
date = {2016-01-31},
urldate = {2016-01-31},
booktitle = {Communications in Interference Limited Networks. Signals and Communication Technology},
pages = {501-519},
publisher = {Springer},
address = {Cham},
abstract = {Linear precoding provides the potential to boost the data throughput in a cellular multiple-input-multiple-output downlink system. It exploits spatial diversity and enables multiple users to be served on the same time-frequency resources. In a previous study we presented the maximization of the weighted sum data rate in multi-cell networks considering a transmit power constraint per base station with imperfect channel state information (CSI) at the transmitter. Beside imperfections in the precoding matrix design, impaired CSI can also cause outage if the actual channel does not support the data rate assigned for transmission. As the new 5th generation wireless communication era is dawning, future cellular networks are expected to be more resilient. In this chapter, we investigate the aspect of potential outages with respect to the joint optimization of the precoding matrix and the transmission rate. In this context, we target at the maximization of throughput considering both imperfect CSI at the transmitter and potential outages. We quantify the performance by means of Monte Carlo simulations.},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {incollection}
}
Linear precoding provides the potential to boost the data throughput in a cellular multiple-input-multiple-output downlink system. It exploits spatial diversity and enables multiple users to be served on the same time-frequency resources. In a previous study we presented the maximization of the weighted sum data rate in multi-cell networks considering a transmit power constraint per base station with imperfect channel state information (CSI) at the transmitter. Beside imperfections in the precoding matrix design, impaired CSI can also cause outage if the actual channel does not support the data rate assigned for transmission. As the new 5th generation wireless communication era is dawning, future cellular networks are expected to be more resilient. In this chapter, we investigate the aspect of potential outages with respect to the joint optimization of the precoding matrix and the transmission rate. In this context, we target at the maximization of throughput considering both imperfect CSI at the transmitter and potential outages. We quantify the performance by means of Monte Carlo simulations.
9.
Wolf, A.; Matthé, M.; Festag, A.; Fettweis, G.
Outage Based Power Allocation for a Lossy Forwarding Two-Relaying System Proceedings Article
In: IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Guildford, UK, 2015.
Abstract | Links | BibTeX | Tags: optimization, wireless communication
@inproceedings{Wolf:CAMAD:2015,
title = {Outage Based Power Allocation for a Lossy Forwarding Two-Relaying System},
author = {A. Wolf and M. Matthé and A. Festag and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/7390522},
doi = {10.1109/CAMAD.2015.7390522},
year = {2015},
date = {2015-09-07},
urldate = {2016-01-28},
booktitle = {IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)},
address = {Guildford, UK},
abstract = {The extension of Decode-and-Forward (DF) relaying by lossy forwarding has the potential to ensure a reliable multi-hop message transport in wireless mesh networks. Unlike in conventional DF relaying, with lossy forwarding a relay forwards a message regardless whether errors have been detected after decoding. At the destination, a proper joint decoding technique exploits the high correlation of messages received via different network paths. According to the Slepian-Wolf correlated source coding theorem a performance improvement compared with the conventional DF relaying can be expected. The performance can be optimized by a power allocation scheme that distributes the total transmit power budget between source and relay nodes. This paper analyzes the outage probability (OP) based on the Slepian-Wolf source correlation theorem for a system with two relays and designs a power allocation scheme to minimize the OP. The proposed scheme reduces the OP by up to 1.5 orders of magnitude compared to the reference case of equal power allocation. We also compare the performance gain of a system with two relays against the case with a single relay for the same total transmit power budget. Results show a reduction of the OP of at least one and up to two orders of magnitude.},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {inproceedings}
}
The extension of Decode-and-Forward (DF) relaying by lossy forwarding has the potential to ensure a reliable multi-hop message transport in wireless mesh networks. Unlike in conventional DF relaying, with lossy forwarding a relay forwards a message regardless whether errors have been detected after decoding. At the destination, a proper joint decoding technique exploits the high correlation of messages received via different network paths. According to the Slepian-Wolf correlated source coding theorem a performance improvement compared with the conventional DF relaying can be expected. The performance can be optimized by a power allocation scheme that distributes the total transmit power budget between source and relay nodes. This paper analyzes the outage probability (OP) based on the Slepian-Wolf source correlation theorem for a system with two relays and designs a power allocation scheme to minimize the OP. The proposed scheme reduces the OP by up to 1.5 orders of magnitude compared to the reference case of equal power allocation. We also compare the performance gain of a system with two relays against the case with a single relay for the same total transmit power budget. Results show a reduction of the OP of at least one and up to two orders of magnitude.
10.
Gaspar, I.; Festag, A.; Fettweis, G.
Synchronization using a Pseudo-Circular Preamble for Generalized Frequency Division Multiplexing in Vehicular Communication Proceedings Article
In: IEEE Vehicular Technology Conference (VTC-Fall), Boston, USA, 2015.
Abstract | Links | BibTeX | Tags: optimization, wireless communication
@inproceedings{Gaspar:VTCFall:2015,
title = {Synchronization using a Pseudo-Circular Preamble for Generalized Frequency Division Multiplexing in Vehicular Communication},
author = {I. Gaspar and A. Festag and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/7391164},
doi = {10.1109/VTCFall.2015.7391164},
year = {2015},
date = {2015-09-06},
urldate = {2016-01-28},
booktitle = {IEEE Vehicular Technology Conference (VTC-Fall)},
address = {Boston, USA},
abstract = {This paper explores using the first subsymbol in the structure of a GFDM symbol as a pseudo circular preamble. As data and training sequence overlap in the GFDM structure, an initial estimation approach for isolating the preamble information from the data is presented. The concept allows for adaptation of state-of-the-art techniques developed for OFDM in order to estimate time offset at every GFDM symbol. The paper studies the proposal in the context of vehicular communication scenarios and assesses the performance of single-shot estimation of time offset. Both, line-of-sight and non-line-of-sight scenarios with doubly-dispersive wireless channels are considered and compared with the CP-based method from the IEEE 802.11p standard.},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper explores using the first subsymbol in the structure of a GFDM symbol as a pseudo circular preamble. As data and training sequence overlap in the GFDM structure, an initial estimation approach for isolating the preamble information from the data is presented. The concept allows for adaptation of state-of-the-art techniques developed for OFDM in order to estimate time offset at every GFDM symbol. The paper studies the proposal in the context of vehicular communication scenarios and assesses the performance of single-shot estimation of time offset. Both, line-of-sight and non-line-of-sight scenarios with doubly-dispersive wireless channels are considered and compared with the CP-based method from the IEEE 802.11p standard.
11.
Zhang, X.; Fritzsche, R.; Festag, A.; Lin, P. -H.; Fettweis, G.
Multi-Cell Linear Precoding Design for Throughput Optimization with Imperfect CSI and Outage Proceedings Article
In: IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, 2015.
Abstract | Links | BibTeX | Tags: optimization, wireless communication
@inproceedings{Zhang:PIMRC:2015,
title = {Multi-Cell Linear Precoding Design for Throughput Optimization with Imperfect CSI and Outage},
author = {X. Zhang and R. Fritzsche and A. Festag and P. -H. Lin and G. Fettweis},
url = {https://ieeexplore.ieee.org/document/7343331},
doi = {10.1109/PIMRC.2015.7343331},
year = {2015},
date = {2015-08-30},
urldate = {2015-12-03},
booktitle = {IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)},
address = {Hong Kong},
abstract = {Cooperative multi-cell MIMO techniques are well known for their outstanding capability to mitigate inter-cell interference by allowing user data to be jointly processed by several interfering base stations for the improvement of the system performance. This paper proposes an iterative algorithm that designs the precoding matrix for cooperative multi-cell MIMO downlink communications. As the demand for higher throughput and higher system resilience is envisioned for future wireless communication systems, the proposed algorithm takes the potential outage into consideration when channel state information is only partially available at the transmitter side. The aim is to maximize the sum user throughput considering outage with subject to power limitation at each base station. The joint optimization of the precoding matrix and the assigned transmission rate is solved via a 2-step alternating algorithm. The performance of the proposed method is evaluated by Monte Carlo simulations and compared with existing methods. Simulation results show that our proposed algorithm achieves performance gain than other referenced methods over the entire compared SNR region. Performance of all methods are also compared and analyzed when inter-cluster interference is present.},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {inproceedings}
}
Cooperative multi-cell MIMO techniques are well known for their outstanding capability to mitigate inter-cell interference by allowing user data to be jointly processed by several interfering base stations for the improvement of the system performance. This paper proposes an iterative algorithm that designs the precoding matrix for cooperative multi-cell MIMO downlink communications. As the demand for higher throughput and higher system resilience is envisioned for future wireless communication systems, the proposed algorithm takes the potential outage into consideration when channel state information is only partially available at the transmitter side. The aim is to maximize the sum user throughput considering outage with subject to power limitation at each base station. The joint optimization of the precoding matrix and the assigned transmission rate is solved via a 2-step alternating algorithm. The performance of the proposed method is evaluated by Monte Carlo simulations and compared with existing methods. Simulation results show that our proposed algorithm achieves performance gain than other referenced methods over the entire compared SNR region. Performance of all methods are also compared and analyzed when inter-cluster interference is present.
12.
Anwar, K.; Datta, R.; Festag, A.; Fettweis, G.; Galdo, G.; Gurgul, S.; Juntti, M.; Khalife, H.; Komulainen, P.; Schneider, C.; Szott, S.; Tafazolli, R.; Thomä, R.; Wszolek, J.; Xiao, P.; Yi, N.
RESCUE: Links-on-the-fly Technology for Robust, Efficient and Smart Communication in Unpredictable Environments Proceedings Article
In: European Conference on Networks and Communications (EuCNC), Bologna, Italy, 2014.
Links | BibTeX | Tags: optimization, wireless communication
@inproceedings{Anwar:EUCNC:2014,
title = {RESCUE: Links-on-the-fly Technology for Robust, Efficient and Smart Communication in Unpredictable Environments},
author = {K. Anwar and R. Datta and A. Festag and G. Fettweis and G. Galdo and S. Gurgul and M. Juntti and H. Khalife and P. Komulainen and C. Schneider and S. Szott and R. Tafazolli and R. Thomä and J. Wszolek and P. Xiao and N. Yi},
url = {https://www.eucnc.eu/files/EuConNeCts-ProgramTemplate_final_RR_v2.pdf},
year = {2014},
date = {2014-06-24},
urldate = {2014-06-24},
booktitle = {European Conference on Networks and Communications (EuCNC)},
address = {Bologna, Italy},
keywords = {optimization, wireless communication},
pubstate = {published},
tppubtype = {inproceedings}
}