Jin Wang, Huilin Jiang, Zhiwen Pan, Nan Liu, Xiaohu You, Tianle Deng
{"title":"Joint user association and ABS proportion optimization for load balancing in HetNet","authors":"Jin Wang, Huilin Jiang, Zhiwen Pan, Nan Liu, Xiaohu You, Tianle Deng","doi":"10.1109/WCSP.2015.7341185","DOIUrl":null,"url":null,"abstract":"In this paper, a user association scheme for load balancing in a downlink Heterogeneous cellular network (HetNet) incorporating almost blank subframe (ABS) for interference management is proposed. The joint user association and ABS optimization problem is formulated as maximizing a Logarithmic utility function. Since the joint optimization problem is non-convex and NP-hard, the block coordinate descent (BCD) method is employed to decouple the joint problem into two sub-problems (user association and ABS allocation) and solved in an iterative manner to obtain a suboptimal solution. Simulation results show the effectiveness of the proposed algorithm.","PeriodicalId":164776,"journal":{"name":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Wireless Communications & Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2015.7341185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, a user association scheme for load balancing in a downlink Heterogeneous cellular network (HetNet) incorporating almost blank subframe (ABS) for interference management is proposed. The joint user association and ABS optimization problem is formulated as maximizing a Logarithmic utility function. Since the joint optimization problem is non-convex and NP-hard, the block coordinate descent (BCD) method is employed to decouple the joint problem into two sub-problems (user association and ABS allocation) and solved in an iterative manner to obtain a suboptimal solution. Simulation results show the effectiveness of the proposed algorithm.