2005/01/21 by Husheng Li, H. Vincent Poor, Li, Husheng +2
Computer Science · Engineering · Mathematics · #Advanced Data Compression Techniques #Advanced Wireless Communication Techniques #Algorithm #Channel (broadcasting) #Code division multiple access #Computer science #Electronic engineering #Engineering #Equalization (audio) #FOS: Computer and information sciences #Information Theory (cs.IT) #Joint (building) #Multiuser detection #Structural engineering #Telecommunications #Wireless Communication Networks Research #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.cs/0501048
published in arXiv (Cornell University) (Cornell University) · To appear in IEEE Transactions on Wireless Communications
arxiv created 2005/01/21 · openalex publication_date 2005/01/21 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Communications in dispersive direct-sequence code-division multiple-access (DS-CDMA) channels suffer from intersymbol and multiple-access interference, which can significantly impair performance. Joint maximum a posteriori probability (MAP) equalization and multiuser detection with error control decoding can be used to mitigate this interference and to achieve the optimal bit error rate. Unfortunately, such optimal detection typically requires prohibitive computational complexity. This problem is addressed in this paper through the development of a reduced state trellis search detection algorithm, based on decision feedback from channel decoders. The performance of this algorithm is analyzed in the large-system limit. This analysis and simulations show that this low-complexity algorithm can obtain near-optimal performance under moderate signal-to-noise ratio and attains larger system load capacity than parallel interference cancellation.