Cicek Cavdar | KTH Royal Institute of Technology (original) (raw)
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Papers by Cicek Cavdar
arXiv (Cornell University), May 7, 2023
arXiv (Cornell University), Dec 22, 2018
arXiv (Cornell University), Oct 28, 2018
ICC 2022 - IEEE International Conference on Communications, May 16, 2022
arXiv (Cornell University), Jul 15, 2018
IEEE transactions on green communications and networking, Jun 1, 2021
IEEE Transactions on Network and Service Management, 2023
arXiv (Cornell University), Mar 29, 2023
arXiv (Cornell University), Mar 29, 2023
GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Dec 4, 2022
arXiv (Cornell University), Apr 1, 2020
arXiv (Cornell University), Jan 15, 2023
2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
IEEE Open Journal of the Communications Society
2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2019
In this paper, we investigate the potential benefits and challenges of using millimeter wave (mm-... more In this paper, we investigate the potential benefits and challenges of using millimeter wave (mm-Wave) cellular network to carry out Beyond Visual Line of Sight (BVLOS) operations for remote piloting of Unmanned Aerial Vehicles (UAVs). We evaluate the reliability and latency of the wireless link between a UAV and a serving mm-Wave Base Station (BS) in the finite blocklength regime with the ultra reliable low latency communications (URLLC) requirements of 5G. To perform a comprehensive evaluation, we integrate several realistic models including mm-Wave antenna arrays, beamforming, mm-Wave propagation, and LOS probabilities. Our results show that cooperation and coordination among BSs are critical for UAV piloting using mm-Wave technology. We analyze the performance of mm-Wave links under three scenarios representing different levels of interference mitigation. We show that there is a certain range of message size and block length where it is possible to achieve URLLC requirements with packet error probability of 10−5 and latency below 1 ms when assuming cooperation.
2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2017
ArXiv, 2018
Grant-free radio access is a promising solution for reducing energy consumption and access delay ... more Grant-free radio access is a promising solution for reducing energy consumption and access delay in low power wide-area (LPWA) Internet of Things (IoT) networks. This work is devoted to reliability ...
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021
Low Latency Low Loss Scalable Throughput (L4S) is a technology intended to reduce queue delay pro... more Low Latency Low Loss Scalable Throughput (L4S) is a technology intended to reduce queue delay problems, ensuring low latency to Internet Protocol flows with a high throughput performance. To reach this goal, it relies on Explicit Congestion Notification (ECN), a mechanism that marks packets to signal congestion in the network avoiding packets to be dropped. The congestion signals are managed at the sender and receiver sides thanks to scalable congestion control algorithms. In this paper, the challenges to implement L4S in a 5G network are analyzed. Using a proprietary state-of-the-art network simulator, the L4S marking strategy has been implemented at the Packed Data Convergence Protocol layer. To evaluate the benefits of the implementation, L4S has been adopted to support Augmented Reality (AR) video gaming traffic while using the IETF experimental standard Self-Clocked Rate Adaptation for Multimedia (SCReAM) for the congestion control. The results show that the video gaming traffic experiences lower delay when supported by L4S. Moreover, in all the cases analyzed, L4S provides an average application layer throughput above the minimum requirements of a high-rate latency-critical application, even at high system loads. Furthermore, the packet loss rate has been significantly reduced thanks to L4S. If it is used in a combination with a Delay Based Scheduler (DBS), a packet loss rate very close to zero has been reached.
arXiv (Cornell University), May 7, 2023
arXiv (Cornell University), Dec 22, 2018
arXiv (Cornell University), Oct 28, 2018
ICC 2022 - IEEE International Conference on Communications, May 16, 2022
arXiv (Cornell University), Jul 15, 2018
IEEE transactions on green communications and networking, Jun 1, 2021
IEEE Transactions on Network and Service Management, 2023
arXiv (Cornell University), Mar 29, 2023
arXiv (Cornell University), Mar 29, 2023
GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Dec 4, 2022
arXiv (Cornell University), Apr 1, 2020
arXiv (Cornell University), Jan 15, 2023
2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
IEEE Open Journal of the Communications Society
2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2019
In this paper, we investigate the potential benefits and challenges of using millimeter wave (mm-... more In this paper, we investigate the potential benefits and challenges of using millimeter wave (mm-Wave) cellular network to carry out Beyond Visual Line of Sight (BVLOS) operations for remote piloting of Unmanned Aerial Vehicles (UAVs). We evaluate the reliability and latency of the wireless link between a UAV and a serving mm-Wave Base Station (BS) in the finite blocklength regime with the ultra reliable low latency communications (URLLC) requirements of 5G. To perform a comprehensive evaluation, we integrate several realistic models including mm-Wave antenna arrays, beamforming, mm-Wave propagation, and LOS probabilities. Our results show that cooperation and coordination among BSs are critical for UAV piloting using mm-Wave technology. We analyze the performance of mm-Wave links under three scenarios representing different levels of interference mitigation. We show that there is a certain range of message size and block length where it is possible to achieve URLLC requirements with packet error probability of 10−5 and latency below 1 ms when assuming cooperation.
2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2017
ArXiv, 2018
Grant-free radio access is a promising solution for reducing energy consumption and access delay ... more Grant-free radio access is a promising solution for reducing energy consumption and access delay in low power wide-area (LPWA) Internet of Things (IoT) networks. This work is devoted to reliability ...
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021
Low Latency Low Loss Scalable Throughput (L4S) is a technology intended to reduce queue delay pro... more Low Latency Low Loss Scalable Throughput (L4S) is a technology intended to reduce queue delay problems, ensuring low latency to Internet Protocol flows with a high throughput performance. To reach this goal, it relies on Explicit Congestion Notification (ECN), a mechanism that marks packets to signal congestion in the network avoiding packets to be dropped. The congestion signals are managed at the sender and receiver sides thanks to scalable congestion control algorithms. In this paper, the challenges to implement L4S in a 5G network are analyzed. Using a proprietary state-of-the-art network simulator, the L4S marking strategy has been implemented at the Packed Data Convergence Protocol layer. To evaluate the benefits of the implementation, L4S has been adopted to support Augmented Reality (AR) video gaming traffic while using the IETF experimental standard Self-Clocked Rate Adaptation for Multimedia (SCReAM) for the congestion control. The results show that the video gaming traffic experiences lower delay when supported by L4S. Moreover, in all the cases analyzed, L4S provides an average application layer throughput above the minimum requirements of a high-rate latency-critical application, even at high system loads. Furthermore, the packet loss rate has been significantly reduced thanks to L4S. If it is used in a combination with a Delay Based Scheduler (DBS), a packet loss rate very close to zero has been reached.