eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Abstract

Resource allocation mechanisms and management of inter-cell interference coordination (ICIC) are fundamental characteristics of the LTE-A network for achieving maximum capacity. Cell densification serves as a promising candidate solution for meeting the demand posed by mobile users, as well as optimizing coverage. However, the transmit power difference between the introduced picocells and the legacy macrocells essentially leads to challenges that limits system performance, especially for those users located at the edge of the cell. As a means of providing a clear understanding, the authors thus formulate the optimization problem as game theory, in order to maximize a modified utility function, which aims at making improvements on the eICIC. Based on exact potential game formulation, we optimize almost blank subframe (ABS) and cell selection bias (CSB) settings for both macrocells and picocells in a distributed manner. Simulation results illustrate important performance gains on the service fairness of the users, and especially for cell edge users, where the averaged throughput increases by up to 51%, when compared to eICIC optimization without our modified utility function.

A Reinforcement Learning Approach for Interference Management in Heterogeneous Wireless Networks

“…Mobile broadband usage has increased dramatically in the last couple of years due to new types of terminals such as smart phones and tablet computers [1,2]. The traditional homogeneous networks [3,4],comprising of only macrocell base stations (BSs), have become insufficient to meet the high traffic demands and stringent quality of service (QoS) requirements of mobile broadband communications [5]. A key method to fulfill the traffic demands is by network densification which involves adding smaller low power nodes, such as picocells, to traditional high power macro nodes.…”

“…They have been regarded as a promising paradigm to provide mobile users with high quality experience [2,5]. However, network densification through the addition of picocells introduces harmful interference into the network [2,4,8]. Therefore, the influence of picocell densification on the network performance is obviously of large interest and the use of sophisticated inter-cell interference management techniques is very crucial.…”

Escalonamento de pacotes e gerenciamento de interferência em redes heterogêneas baseados na teoria dos jogos

“…Soluções em Jogo Potencial Exato para otimização eICIC distribuída são consideradas nos estudos em [24][25][26][27][28]. Uma abordagem similar também foi empregada no trabalho apresentado em [29], os autores utilizaram o Jogo Potencial Exato para o gerenciamento de interferência das técnicas eICIC e FeICIC.…”