TY - JOUR
T1 - Performance of Downlink NOMA in Vehicular Communication Networks
T2 - An Analysis Based on Poisson Line Cox Point Process
AU - Sun, Yanshi
AU - Ding, Zhiguo
AU - Dai, Xuchu
AU - Navaie, Keivan
AU - So, Daniel K.C.
N1 - Funding Information:
Manuscript received February 12, 2020; revised May 6, 2020 and August 15, 2020; accepted September 14, 2020. Date of publication September 21, 2020; date of current version November 12, 2020. The work of Yanshi Sun and Xuchu Dai was supported by the National Natural Science Foundation of China under Grant 61971391. The review of this article was coordinated by Dr. Tao Dusit Niyato. (Corresponding author: Yanshi Sun.) Yanshi Sun and Xuchu Dai are with the CAS Key Laboratory of Wireless Optical Communications, University of Science and Technology of China, Hefei 230026, China (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - In this paper we investigate downlink performance in a non-orthogonal multiple access (NOMA) based vehicular communication network. In contrast to the previous works wherein the vehicles are simply assumed to be located anywhere in the coverage area, we consider practical cases where vehicles are located on a system of roads. We then adopt a system model based on Poisson Line Cox Point (PLC) processes, where the road system is represented through a Poisson Line (PL) Process. Vehicles ordered according to their distances to their corresponding roadside units (RSUs) are then served by using power domain NOMA. Adopting analytical tools from the stochastic geometry, we then analyse the outage performance of the system. Numerical results corroborate our analysis and demonstrate how the system settings influence the considered NOMA based V2X network.
AB - In this paper we investigate downlink performance in a non-orthogonal multiple access (NOMA) based vehicular communication network. In contrast to the previous works wherein the vehicles are simply assumed to be located anywhere in the coverage area, we consider practical cases where vehicles are located on a system of roads. We then adopt a system model based on Poisson Line Cox Point (PLC) processes, where the road system is represented through a Poisson Line (PL) Process. Vehicles ordered according to their distances to their corresponding roadside units (RSUs) are then served by using power domain NOMA. Adopting analytical tools from the stochastic geometry, we then analyse the outage performance of the system. Numerical results corroborate our analysis and demonstrate how the system settings influence the considered NOMA based V2X network.
KW - non-orthogonal multiple access (NOMA)
KW - Poisson line Cox point (PLC) process
KW - vehicular communications
UR - http://www.scopus.com/inward/record.url?scp=85096233309&partnerID=8YFLogxK
U2 - 10.1109/TVT.2020.3025624
DO - 10.1109/TVT.2020.3025624
M3 - Article
AN - SCOPUS:85096233309
SN - 0018-9545
VL - 69
SP - 14001
EP - 14006
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 11
M1 - 9201475
ER -