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Joint optimization of relay selection and transmission scheduling for UAV-aided mm wave vehicular networks

Joint optimization of relay selection and transmission scheduling for UAV-aided mm wave vehicular networks
Joint optimization of relay selection and transmission scheduling for UAV-aided mm wave vehicular networks
To deal with the explosive growth of mobile traffic, millimeter-wave (mmWave) communications with abundant bandwidth resources have been applied to vehicular networks. As mmWave signal is sensitive to blockage, we introduce the unmanned aerial vehicle (UAV)-aided two-way relaying system for vehicular connection enhancement and coverage expansion. How to improve transmission efficiency and to reduce latency time in such a dynamic scenario is a challenging problem. In this paper, we formulate the joint optimization problem of relay selection and transmission scheduling, aiming to reduce transmission time while meeting the throughput requirements. To solve this problem, two schemes are proposed. The first one is the random relay selection with concurrent scheduling (RCS), a low-complexity algorithm implemented in two steps. The second one is the joint relay selection with dynamic scheduling (JRDS), which fully avoids relay contentions and exploits potential concurrent ability, to obtain further performance enhancement over RCS. Through extensive simulations under different environments with various flow numbers and vehicle speeds, we demonstrate that both RCS and JRDS schemes outperform the existing schemes significantly in terms of transmission time and network throughput. We also analyze the impact of threshold selection on achievable performance.
Dynamic scheduling, Millimeter wave communication, Millimeter-wave, Mobility models, Optimization, Relays, Throughput, Vehicular ad hoc networks, concurrent scheduling, dynamic scheduling, joint optimization, relay selection, vehicular networks
0018-9545
6322-6334
Li, Jing
12d3e307-c01d-4e6a-aaa8-46935bb8d6cb
Niu, Yong
1e9137e1-87f3-4e65-b0e2-806a2f249b4a
Wu, Hao
8d0e3477-dc5a-4ce8-8121-991ad1bbb48d
Ai, Bo
fc1b180d-18e5-4446-b181-c8d0dd25d14b
He, Ruisi
53adbb41-b3e3-4287-a6b5-61f3f7bc9274
Wang, Ning
36bb4647-b3bf-4167-9934-4807fab9ff2b
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Li, Jing
12d3e307-c01d-4e6a-aaa8-46935bb8d6cb
Niu, Yong
1e9137e1-87f3-4e65-b0e2-806a2f249b4a
Wu, Hao
8d0e3477-dc5a-4ce8-8121-991ad1bbb48d
Ai, Bo
fc1b180d-18e5-4446-b181-c8d0dd25d14b
He, Ruisi
53adbb41-b3e3-4287-a6b5-61f3f7bc9274
Wang, Ning
36bb4647-b3bf-4167-9934-4807fab9ff2b
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Li, Jing, Niu, Yong, Wu, Hao, Ai, Bo, He, Ruisi, Wang, Ning and Chen, Sheng (2023) Joint optimization of relay selection and transmission scheduling for UAV-aided mm wave vehicular networks. IEEE Transactions on Vehicular Technology, 72 (5), 6322-6334. (doi:10.1109/TVT.2022.3233550).

Record type: Article

Abstract

To deal with the explosive growth of mobile traffic, millimeter-wave (mmWave) communications with abundant bandwidth resources have been applied to vehicular networks. As mmWave signal is sensitive to blockage, we introduce the unmanned aerial vehicle (UAV)-aided two-way relaying system for vehicular connection enhancement and coverage expansion. How to improve transmission efficiency and to reduce latency time in such a dynamic scenario is a challenging problem. In this paper, we formulate the joint optimization problem of relay selection and transmission scheduling, aiming to reduce transmission time while meeting the throughput requirements. To solve this problem, two schemes are proposed. The first one is the random relay selection with concurrent scheduling (RCS), a low-complexity algorithm implemented in two steps. The second one is the joint relay selection with dynamic scheduling (JRDS), which fully avoids relay contentions and exploits potential concurrent ability, to obtain further performance enhancement over RCS. Through extensive simulations under different environments with various flow numbers and vehicle speeds, we demonstrate that both RCS and JRDS schemes outperform the existing schemes significantly in terms of transmission time and network throughput. We also analyze the impact of threshold selection on achievable performance.

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More information

Accepted/In Press date: 27 December 2022
e-pub ahead of print date: 9 January 2023
Published date: 18 May 2023
Additional Information: Publisher Copyright: IEEE
Keywords: Dynamic scheduling, Millimeter wave communication, Millimeter-wave, Mobility models, Optimization, Relays, Throughput, Vehicular ad hoc networks, concurrent scheduling, dynamic scheduling, joint optimization, relay selection, vehicular networks

Identifiers

Local EPrints ID: 473723
URI: http://eprints.soton.ac.uk/id/eprint/473723
ISSN: 0018-9545
PURE UUID: ec6de282-c020-4b98-b746-b0955afde833

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Date deposited: 30 Jan 2023 19:15
Last modified: 16 May 2023 17:06

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Contributors

Author: Jing Li
Author: Yong Niu
Author: Hao Wu
Author: Bo Ai
Author: Ruisi He
Author: Ning Wang
Author: Sheng Chen

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