A system view on iterative MIMO detection: dynamic sphere detection versus fixed effort list detection

Authors:
Christina Gimmler-Dumont;Frank Kienle;Bin Wu;Guido Masera
Affiliations:
Microelectronic Systems Design Research Group, University of Kaiserslautern, Kaiserslautern, Germany;Microelectronic Systems Design Research Group, University of Kaiserslautern, Kaiserslautern, Germany;Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy;Dipartimento di Elettronica, Politecnico di Torino, Torino, Italy
Venue:
VLSI Design - Special issue on Flexible Radio Design: Trends and Challenges in Digital Baseband Implementation
Year:
2012

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Abstract

Multiple-antenna systems are a promising approach to increase the data rate of wireless communication systems. One efficient possibility is spatialmultiplexing of the transmitted symbols over several antennas. Many different MIMO detector algorithms exist for this spatialmultiplexing. The major difference between differentMIMOdetectors is the resulting communications performance and implementation complexity, respectively. Particularly closed-loop MIMO systems have attained a lot of attention in the last years. In a closed-loop system, reliability information is fed back fromthe channel decoder to the MIMO detector. In this paper, we derive a basic framework to compare different soft-input soft-output MIMO detectors in open- and closed-loop systems. Within this framework, we analyze a depth-first sphere detector and a breadth-first fixed effort detector for different application scenarios and their effects on area and energy efficiency on the whole system. We present all systemcomponents under open- and closed-loop system aspects and determine the overall implementation cost for changing an open-loop system in a closed-loop system.