High Bandwidth Green Communication With Vehicles by Decentralized Resource Optimization in Integrated Access Backhaul 5G Networks

Abstract

Recently, moving networks, including mobile small cells (MSCs), have been introduced to improve the QoS experienced by users inside public transport and connected vehicles. Moving networks extend the coverage and decrease the handover counts. Mm-wave wireless backhaul connections as well as Integrated Access Backhaul (IAB) concept, released by 3GPP, are considered green solutions for the problem of backhaul bottleneck in 5G systems. IAB concept suggests expanding the network by breaking down long-range transmissions into multi-hop shorter-range ones which also saves nodes energy and is green. However, this implies the bandwidth must be shared between access and backhaul links and creates the so called backhaul bottleneck problem. Proper partitioning of bandwidth between access and backhaul links has become a challenge in these systems. In this paper, in the context of connected vehicles, we study two-tier mm-wave IAB topologies with multiple fiber-linked nodes and moving small cells. We formulate bandwidth partitioning as an optimization problem. Then, by adopting the decomposition method, we solve the problem in an iterative and decentralized manner without the need for any central controller. The solution is tailored for communal connected vehicles. The simulations show that our scheme’s allocation efficiency is always over 80%.