Title :
V-BLAST Sphere Decoding with pre-searching using Genetic Algorithm
Author_Institution :
Coll. of Phys. & Inf. Eng., Fuzhou Univ., Fuzhou, China
Abstract :
Improving system capacity is always a hotspot in mobile communication systems. As an important space-time code, Vertical Bell lab Layered Space-Time (V-BLAST) code detection algorithm has attracted much attention in recent years. Sphere Decoding (SD) is comparable to ML in performance and much better than traditional detection algorithm of V-BLAST but it involves much more complicated computations. An improved SD algorithm using Genetic Algorithm (GA) pre-searching is presented in this paper based on the research on SD search route and GA characteristic. The algorithm tries to find new lattice inside of sphere by trying the near centre lattice based on GA pre-searching with intrinsic parallelism and heuristic searching therefore effectively reduces the complexity of SD.
Keywords :
computational complexity; decoding; genetic algorithms; mobile communication; search problems; space-time codes; GA presearching; SD complexity; V-BLAST sphere decoding; centre lattice; code detection algorithm; genetic algorithm; mobile communication systems; space-time code; system capacity; vertical Bell lab layered space-time; Biological cells; Complexity theory; Decoding; Genetic algorithms; Lattices; Receiving antennas; Vectors;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6159971