Performance Analysis of Uplink/Downlink Decoupled Access in Cellular-V2X Networks
Luofang Jiao, Kai Yu, Jiacheng Chen, Tingting Liu, Haibo Zhou, Lin Cai

TL;DR
This paper develops an analytical framework using stochastic geometry to evaluate the performance of uplink/downlink decoupled access in cellular V2X networks, revealing performance gains and providing insights for network design.
Contribution
It introduces a novel analytical model for UL/DL decoupled access in C-V2X networks, including probability, distance distribution, spectral efficiency, and coverage analysis.
Findings
Decoupled access improves spectral efficiency.
Analytical results match extensive simulations.
Framework enables performance estimation of C-V2X networks.
Abstract
This paper firstly develops an analytical framework to investigate the performance of uplink (UL) / downlink (DL) decoupled access in cellular vehicle-to-everything (C-V2X) networks, in which a vehicle's UL/DL can be connected to different macro/small base stations (MBSs/SBSs) separately. Using the stochastic geometry analytical tool, the UL/DL decoupled access C-V2X is modeled as a Cox process, and we obtain the following theoretical results, i.e., 1) the probability of different UL/DL joint association cases i.e., both the UL and DL are associated with the different MBSs or SBSs, or they are associated with different types of BSs; 2) the distance distribution of a vehicle to its serving BSs in each case; 3) the spectral efficiency of UL/DL in each case; and 4) the UL/DL coverage probability of MBS/SBS. The analyses reveal the insights and performance gain of UL/DL decoupled access.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Telecommunications and Broadcasting Technologies
MethodsBalanced Selection
