On channel quantization for multi-cell cooperative systems with limited feedback
On channel quantization for multi-cell cooperative systems with limited feedback作者机构：School of Electronics and Information Engineering Beihang University Department of Electrical and Information Technology Lund University
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：74-89页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 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]
基 金：supported by International S&T Cooperation Program of China (ISCP) (Grant No. 2008DFA12100) Key Project of Next Generation Wideb and Wireless Communication Network, Ministry of Industry and Information (MII): Coordinated Multiple-point Transmission for IMT-Advanced Systems (Grant No. 2011ZX03003-001) Swedish Research Council (Grant No. 2010-468)
主 题：base station cooperative transmission channel quantization limited feedback codeword selection
摘 要：Coherent multi-cell cooperative transmission, also referred to as coordinated multi-point transmission (CoMP), is a promising strategy to provide high spectral efficiency for universal frequency reuse cellular systems. To report the required channel information to the transmitter in frequency division duplexing systems, limited feedback techniques are often applied. Considering that the average channel gains from multiple base stations (BSs) to one mobile station are different and the number of cooperative BSs may be dynamic, it is neither flexible nor compatible to employ a large codebook to directly quantize the CoMP channel. In this paper, we employ per-cell codebooks for quantizing local and cross channels. We first propose a codeword selection criterion, aiming at maximizing an estimated data rate for each user. The proposed criterion can be applied for an arbitrary number of receive antennas at each user and also for an arbitrary number of data streams transmitted to each user. Considering that the resulting optimal per-cell codeword selection for CoMP channel is of high complexity, we propose a serial codeword selection method that has low complexity but yields comparable performance to that of the optimal codeword selection. We evaluate the proposed codeword selection criterion and method using measured CoMP channels from an urban environment as well as simulations. The results demonstrate significant performance gain as compared to an existing low-complexity method.
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