Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection
Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection作者机构:School of electronic engineering and computer science Peking University Beijing China
出 版 物:《Communications and Network》 (通讯与网络(英文))
年 卷 期:2013年第5卷第3期
页 面:103-107页
学科分类:0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统]
主 题:Multiple Input Multiple Output (MIMO) Detection K-Best Sphere Decoding (K-Best SD)
摘 要:Multiple Input Multiple Output (MIMO) technology is of great significance in high data rate wireless communication. The K-Best Sphere Decoding (K-Best SD) algorithm was proposed as a powerful method for MIMO detection that can approach near-optimal performance. However, some extra computational complexity is contained in K-Best SD. In this paper, we propose an improved K-Best SD to reduce the complexity of conventional K-Best SD by assigning K for each level dynamically following some rules. Simulation proves that the performance degradation of the improved K-Best SD is very little and the complexity is significantly reduced.