MC-GiV2V: Multichannel Allocation in mm Wave-Based Vehicular Ad Hoc Networks

Abstract

During last several years, mobile communications using mm Wave spectrum have been intensively researched for 5G wireless networks. Now the mm Wave wireless technologies are evolved into direct device-to-device communications for a single or multihop communication via Giga-bit links. Vehicular ad hoc networks (VANETs) are one of the most attractive areas to apply the direct mmWave communications. In this paper, we propose a Giga-V2V (GiV2V) network, in which vehicles query and deliver high quality video and sensor data of smart and self-driving cars using mmWave communications instead of current dedicated short-range communications (DSRC). In the GiV2V networks, vehicles probably form a grid topology along lanes of a road, which leads to align mm Wave beams of the vehicles and cause mutual interference among them. As channel diversity can resolve effectively the interference between mmWave beams, we propose several heuristic algorithms for channel assignment of each beam in the GiV2V networks. We investigate the proposed algorithms using simulation and compare performance with well-known metaheuristic algorithms for this NP-Hard problem.