Performance of Downlink NOMA in Vehicular Communication Networks: An Analysis Based on Poisson Line Cox Point Process

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.

[1]  François Baccelli,et al.  An Analytical Framework for Coverage in Cellular Networks Leveraging Vehicles , 2017, IEEE Transactions on Communications.

[2]  H. Vincent Poor,et al.  Application of Non-Orthogonal Multiple Access in LTE and 5G Networks , 2015, IEEE Communications Magazine.

[3]  Li Zhao,et al.  LTE-V: A TD-LTE-Based V2X Solution for Future Vehicular Network , 2016, IEEE Internet of Things Journal.

[4]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[5]  Thorsten Gerber,et al.  Handbook Of Mathematical Functions , 2016 .

[6]  Zhiguo Ding,et al.  On the Outage Performance of Network NOMA (N-NOMA) Modeled by Poisson Line Cox Point Process , 2019, IEEE Transactions on Vehicular Technology.

[7]  Martin Haenggi,et al.  User Point Processes in Cellular Networks , 2016, IEEE Wireless Communications Letters.

[8]  Xiang Cheng,et al.  Interference Hypergraph-Based 3D Matching Resource Allocation Protocol for NOMA-V2X Networks , 2019, IEEE Access.

[9]  Pingzhi Fan,et al.  On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users , 2014, IEEE Signal Processing Letters.

[10]  Harpreet S. Dhillon,et al.  Coverage Analysis of a Vehicular Network Modeled as Cox Process Driven by Poisson Line Process , 2017, IEEE Transactions on Wireless Communications.

[11]  Günes Karabulut-Kurt,et al.  A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond , 2018, Wirel. Commun. Mob. Comput..

[12]  T. Mattfeldt.  Stochastic Geometry and Its Applications , 1996 .

[13]  Geoffrey Ye Li,et al.  NOMA-Based Low-Latency and High-Reliable Broadcast Communications for 5G V2X Services , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[14]  Haijian Sun,et al.  Downlink and Uplink Non-Orthogonal Multiple Access in a Dense Wireless Network , 2017, IEEE Journal on Selected Areas in Communications.

[15]  François Baccelli,et al.  Poisson Cox Point Processes for Vehicular Networks , 2018, IEEE Transactions on Vehicular Technology.

[16]  Pingzhi Fan,et al.  Cooperative NOMA Broadcasting/Multicasting for Low-Latency and High-Reliability 5G Cellular V2X Communications , 2019, IEEE Internet of Things Journal.

[17]  Harpreet S. Dhillon,et al.  Success Probability and Area Spectral Efficiency of a VANET Modeled as a Cox Process , 2018, IEEE Wireless Communications Letters.

[18]  Paul Mühlethaler,et al.  Random Linear Multihop Relaying in a General Field of Interferers Using Spatial Aloha , 2015, IEEE Transactions on Wireless Communications.

[19]  Zhiguo Ding,et al.  On the Performance of Downlink NOMA in Multi-Cell mmWave Networks , 2018, IEEE Communications Letters.