Optimal power allocation for homogeneous and heterogeneous CA-MIMO systems

作     者：CUI QiMei KANG PeiChuan HUANG XueQing VALKAMA Mikko NIEMELA Jarno 

作者机构：Key Laboratory of Universal Wireless Communications Beijing University of Posts and Telecommunications Department of Communications Engineering Tampere University of Technology 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2013年第56卷第2期

页      面：177-190页

核心收录：

学科分类：0810[工学-信息与通信工程] 080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by China-EU International Scientific and Technological Cooperation Program (Grant No. 0902) National Natural Science Foundation of China (Grant No. 61001119) the Funds for International Cooperation and Exchange of National Natural Science Foundation of China (Grant No. 61211130130) Fund for Creative Research Groups of China (Grant No. 61121001) Beijing Nova Program (Grant No.Z12111000250000) supported by the Finnish Funding Agency for Technology and Innovation(Tekes) through the Energy and Cost Efficiency for Wireless Access (ECEWA) project 

主　　题：LTE-advanced carrier aggregation CA-MIMO heterogenous network modified hybrid gradient optimal power allocation 

摘      要：Carrier aggregation (CA) technique has been adopted by 3GPP LTE-Advanced due to its ability of enhancing the spectrum efficiency and peak data rates through aggregating multiple component carriers (CCs). Two main factors make power control optimization very essential for CA-MIMO radio link: the different channel characteristics in multiple CCs, and multiple power constraint conditions (per-CC, per-antenna and pertransmitter power constraints) in the actual CA system deployment. This paper firstly derives the degenerate conditions of optimal power allocation for a single-transmitter CA-MIMO system. Stemming from the derived degenerate conditions, we propose a modified hybrid gradient optimal power allocation(MHGOPA) algorithm to maximize the system performance. Simulation results verify the validity of the proposed resource allocation approach by comparing with baseline average power allocation algorithm. Finally, we extend the MHGOPA algorithm into a heterogeneous CA network with multiple transmitters working simultaneously.