A novel approach of dynamic base station switching strategy based on Markov decision process for interference alignment
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A novel approach of dynamic base station switching strategy based on Markov decision process for interference alignment in VANETs Chong Zhao1 • Jianghong Han1 • Xu Ding1
•
Fan Yang1
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract In Vehicular Ad-hoc Networks (VANETs), high frequent interaction of safety-related information is required among vehicles and imposes urgent demand on information update. In order to reduce communication delay and improve the capacity of concurrent communication, in this paper we propose that the multi-antenna vehicle could takeover the channel management as dynamic base station to apply Multiple-Input Multiple-Output communication and interference management approach in Vehicle to Vehicle (V2V) communications. Firstly, we construct an Markov decision process (MDP) model for multi-antenna vehicle to estimate whether it is appropriate to be dynamic base station. In addiction, Monte Carlo Tree Search algorithm is introduced to derive MDP policy. Thirdly, the V2V Interference Alignment (V2V-IA) model is constructed for dynamic base station to obtain IA scheme to manage V2V communications and IA in VANETs. To achieve the goal of improving frequency of information update, we propose an optimized problem to minimize total number of time slots, which is required for completing global safety-related information delivery. Simulation results show that the frequency of information update can be improved effectively by the proposed approach and the average improvement could go up to 40%. Keywords VANETs Dynamic base station Interference alignment Modeling and optimization MDP
1 Introduction Vehicular Ad-hoc Networks (VANETs) has received extensive attention in public transportation and researches [1]. In VANETs, the safety-related information such as speed, acceleration, braking, et al., is quickly exchanged among vehicles to achieve information sharing and improve public road safety. Therefore, the higher frequency of information exchanges, the more timely information is shared [2–4]. How to improve channel utilization
& Xu Ding [email protected] Chong Zhao [email protected] Jianghong Han [email protected] Fan Yang [email protected] 1
and increase the frequency of information interaction has became a research hotspot. Multiple Input Multiple Output (MIMO) wireless communication can effectively improve the concurrent channel capacity which will bring the improvement of the frequency of information update. But MIMO will cause the multi-user interference in VANETs which is a major performance bottleneck [5, 6]. The interference among vehicles needs to be harnessed to meet the requirements of VANETs. Interference Alignment (IA) technique, which is used to manage the interference in MIMO, uses coordinated communication between the transmitter and the receiver to exploit code words, time, frequency or space for efficient exchange of data. Related studies have shown that in extreme cases, no matter how ma
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