Author(s)

Chengzhe Piao, Yang Liu, Kaihua Jiang, Xinyu Mao

School of electronic engineering and computer science, Peking University, Beijing, China.

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.

Multiple Input Multiple Output (MIMO); Detection; K-Best Sphere Decoding (K-Best SD)

Piao, C. , Liu, Y. , Jiang, K. and Mao, X. (2013) Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection. Communications and Network, 5, 103-107. doi: 10.4236/cn.2013.53B2020.