Name
Title | ||
|---|---|---|
Joint power control and multiple antennas optimization for reducing receiver blocking in dense VANETs |
Abstract | ||
|---|---|---|
The dynamic topology of vehicular ad hoc networks (VANETs) has a significant impact on the transmission and reception of data. It will cause receiver blocking due to the increase in the number of vehicles on the road and the rapid change of network topology. How to reduce the blocking and improve the reliability of data transmission is still a challenging problem. In this paper, we first propose a joint distributed power control and multiple antennas (DPC-MA) scheme, which can minimize blocking and simultaneously improve throughput. Moreover, it works well with an increased number of vehicles. Then we build an optimization model to select the optimal transmission power and number of antennas for vehicles based on their neighborhood relationships. The formulated problem is a mixed-integer nonlinear programming problem (MINLP), which is NP-hard and usually has no feasible solution. To solve this problem, we propose a low-complexity efficient algorithm using Lagrangian duality, which decomposes the original problem into a series of sub-problems and solves them iteratively using the fixed-point iterative algorithm and sub-gradient method. Simulation results show that our proposed scheme has better performance in resolving blocking and achieving high throughput, especially in high-density vehicle scenarios. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.vehcom.2022.100494 | Vehicular Communications |
Keywords | DocType | Volume |
VANETs,Power control,Multiple antennas,MINLP,High-density | Journal | 36 |
ISSN | Citations | PageRank |
2214-2096 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baiyang Liao | 1 | 0 | 0.34 |
| Demin Li | 2 | 28 | 10.08 |
| Qinghua Tang | 3 | 0 | 0.34 |
| Xuemin Chen | 4 | 0 | 0.34 |