Zhou, GuangxiaGuangxiaZhouXu, WenWenXuBauch, GerhardGerhardBauch2020-06-292020-06-292013IEEE Wireless Communications and Networking Conference, WCNC : 7 - 10 April 2013, Shanghai, P.R. China. - Piscataway, NJ : IEEE, 2013. - Art.-Nr. 6555148 i.e. Seite 3620-3625http://hdl.handle.net/11420/6483In wireless networks, interference from adjacent base stations is usually a dominant factor for user performance degradation. A maximum likelihood (ML) detection can provide superior performance by jointly detecting the serving and interfering signals. However, the complexity is extremely high. This paper presents a soft tree pruning based fixed-complexity sphere decoder. It uses reliability information on bits to estimate a search radius and thereby prunes unpromising nodes in the early stage of the tree search detection to reduce complexity. Based on the soft tree pruning method, the fixed-complexity sphere decoder can still work in a fully pipelined mode. Simulation results show that the soft tree pruning based fixed-complexity sphere decoder can provide a better trade-off between complexity and performance in interference-limited scenarios. © 2013 IEEE.enInterference-limited MIMO systemsjoint detectionLTE-AML detectionsphere decodertree pruningTechnikIngenieurwissenschaftenJournal Article10.1109/WCNC.2013.6555148Other