文献类型：期刊文献

英文题名：Energy efficient and fair resource allocation for LTE-unlicensed uplink networks: A two-sided matching approach with partial information

作者：Gao, Yuan[1];Hu, Haonan[1];Wu, Yue[2];Chu, Xiaoli[1];Zhang, Jie[1]

机构：[1]Univ Sheffield, Dept Elect & Elect Engn, Sheffield, S Yorkshire, England;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2018

卷号：29

期号：10

外文期刊名：TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES

收录：;EI(收录号：20200065754);WOS:【SCI-EXPANDED(收录号:WOS:000446568300015)】；

基金：Fundamental Research Funds for the Central Universities, Grant/Award Number: 222201814046; MOST of China, Grant/Award Number: 2015DFE12820; European Unions Horizon 2020 Research and Innovation Programme, Grant/Award Number: 645705

语种：英文

外文关键词：Energy efficiency - Long Term Evolution (LTE) - Resource allocation

摘要：Long-Term Evolution-unlicensed (LTE-U) has recently attracted worldwide interest to meet the explosion in cellular traffic data. By using carrier aggregation, licensed and unlicensed bands are integrated to enhance transmission capacity while maintaining reliable and predictable performance. As there may exist other conventional unlicensed band users, such as WiFi users, LTE-U users have to share the same unlicensed bands with them. Thus, an optimized resource allocation scheme to ensure the fairness between LTE-U users and conventional unlicensed band users is critical for the deployment of LTE-U networks. In this paper, we investigate an energy efficient resource allocation problem in LTE-U coexisting with other wireless networks, which aims at guaranteeing fairness among the users of different radio access networks. We formulate the problem as a multiobjective optimization problem and propose a semidistributed matching framework with a partial information-based algorithm to solve it. We demonstrate our contributions with simulations in which various network densities and traffic load levels are considered.