M2M DOWNLINK LTE RESOURCE ALLOCATION: A GAME THEORY APPROACH WITH GLICKO SYSTEM FRAMEWORK

摘要

In this paper, we model and simulate an LTE network environment with tractable M2M traffic modules where the impacts on conventional scheduling mechanism are studied and observed. The insights thereby suggest the need to resolve uncertainties in three major regions: Quality of Service (QoS), behavior and priority. A prominent conventional Bayesian approach, true Bayesian estimate (TBE) is hence adopted and revised to take M2M traffics into consideration. The results have shown significant advantage of nearly doubled Video throughput, halved VoIP delay and more than 70% reduction in VoIP packet loss. In addition, M2M services are entirely upgraded than in conventional scheduling schemes.