UE‐Initiated Cell Reselection Game for Cell Load Balancing in a Wireless Network

Abstract

A user changes its serving cell if the quality of experience (QoE) provided by the current serving cell is not satisfactory. Since users reselect cells to increase their QoEs selfishly, the system resource efficiency can be deteriorated and a system can be unstable if users are not driven to cooperate appropriately. In this paper, inspired by the minority game (MG) model, we design a UE-initiated cell reselection policy. The MG has a salient characteristic that the number of players who win the game converges to a prespecified value even though players act selfishly without knowing the actions taken by the other players. Using the MG model, we devise a rule by which each UE plays a cell reselection game. We also design a criterion that a system controller uses to determine the result of a game and public information sent by a system controller to induce implicit cooperation among UEs. The simulation results show that compared with noncooperative method the proposed method increases not only the system performance, such as cell load balance index and system utility, but also the performance of UEs in terms of a downlink data rate and an outage probability received from a system.

Hierarchical and Hybrid Cell Load Balancing in 5G Heterogeneous Mobile Networks

“…In a UE initiated cell‐reselection game, 5 Software Defined Network (SDN) controller gathers cell load data from every cell and estimates the cell load balance index. The UEs whose data rate are less than their required data rate, wish to reselect their cell.…”