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dc.contributor.authorShen, Chungan
dc.contributor.authorEltawil, Ahmed M.
dc.contributor.authorSalama, Khaled N.
dc.date.accessioned2015-08-02T09:12:41Z
dc.date.available2015-08-02T09:12:41Z
dc.date.issued2011-11-21
dc.identifier.citationSHEN, C.-A., ELTAWIL, A. M., & SALAMA, K. N. (2010). EVALUATION FRAMEWORK FOR K-BEST SPHERE DECODERS. Journal of Circuits, Systems and Computers, 19(05), 975–995. doi:10.1142/s0218126610006554
dc.identifier.issn02181266
dc.identifier.doi10.1142/S0218126610006554
dc.identifier.urihttp://hdl.handle.net/10754/561492
dc.description.abstractWhile Maximum-Likelihood (ML) is the optimum decoding scheme for most communication scenarios, practical implementation difficulties limit its use, especially for Multiple Input Multiple Output (MIMO) systems with a large number of transmit or receive antennas. Tree-searching type decoder structures such as Sphere decoder and K-best decoder present an interesting trade-off between complexity and performance. Many algorithmic developments and VLSI implementations have been reported in literature with widely varying performance to area and power metrics. In this semi-tutorial paper we present a holistic view of different Sphere decoding techniques and K-best decoding techniques, identifying the key algorithmic and implementation trade-offs. We establish a consistent benchmark framework to investigate and compare the delay cost, power cost, and power-delay-product cost incurred by each method. Finally, using the framework, we propose and analyze a novel architecture and compare that to other published approaches. Our goal is to explicitly elucidate the overall advantages and disadvantages of each proposed algorithms in one coherent framework. © 2010 World Scientific Publishing Company.
dc.publisherWorld Scientific Pub Co Pte Lt
dc.subjectDecoding
dc.subjectK-best
dc.subjectMIMO
dc.subjecttree search
dc.titleEvaluation framework for K-best sphere decoders
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSensors Lab
dc.identifier.journalJournal of Circuits, Systems and Computers
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States
kaust.personSalama, Khaled N.
dc.date.published-online2011-11-21
dc.date.published-print2010-08


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