Relay Cooperative Transmission Algorithms for IoV Under Aggregated Interference

• Published in: IEEE transactions on intelligent transportation systems Vol. 23; no. 7; pp. 9712 - 9725
• Main Authors: Ji, Baofeng, Han, Ying, Wang, Yanan, Cao, Dun, Tao, Fazhan, Fu, Zhumu, Li, Peng, Wen, Hong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: aggregated interference; Algorithms; Blockchains; Capacity planning; cooperative transmission; decode-and-forward; ergodic capacity; Ergodic processes; Interference; Internet of Vehicles; Numerical analysis; Outage probability; Outages; Probability; Relay; Relays; Security; Wireless communication
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2021.3106545

The Internet of Vehicles (IoV) has always attracted attention as the emerging communication network with the most development potential in the 5G era. However, the performance of IoV under 5G ultra-dense networks is an open issue, especially in practice the outage probability and ergodic capacity of the relay cooperative IoV network under aggregate interference are still unclear. Therefore, an opportunistic Decoding and Forwarding (DF) relay cooperative transmission algorithm was proposed in this paper when the destination node of IoV has aggregated interference. In addition, based on mathematical theoretical knowledge such as numerical analysis, the closed expressions of the outage probability and ergodic capacity of the IoV system under aggregated interference was derived. Finally, simulation experiments verify the effectiveness of the proposed scheme and the correctness of the theoretical analysis, which improves the transmission rate of the system.