VLSI implementation of a low complexity 4&amp;#x00D7;4 MIMO sphere decoder with table enumeration

Yang, Kaiying; Tsai, Shi-Chun; Chang, R.C.; Chen, Yan-Cheng; Chuang, Gene C. H.

doi:10.1109/iscas.2013.6572304

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Yang et al [59] adopt the use of a table enumeration [56], which stores precomputed SE orderings in a lookup table. In this method, the 16-QAM complex plane is divided into 64 sub-regions and the ordering is determined based on the location of the SE centre as illustrated in Fig.…”

Section: Hardware Implementationsmentioning

confidence: 99%

“…Like Yang et al [59], this is another work that implements the SE enumeration using a table lookup; however, a real constellation is considered in this case. Instead of deciding the SE ordering by finding the nearest constellation points to the SE centre (which requires a divide operation), this implementation decides the SE ordering through (6) by finding the closest R i,i s i to b i .…”

Section: Non-constant K -Best Detectormentioning

confidence: 99%

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A Survey of VLSI Implementations of Tree Search Algorithms for MIMO Detection

Bello

Halak

El‐Hajjar

et al. 2015

Circuits Syst Signal Process

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Multiple-input multiple-output (MIMO) detection algorithms have received considerable research interest in recent years, as a result of the increasing need for high data-rate communications. Detection techniques range from the low-complexity linear detectors to the maximum likelihood detector, which scales exponentially with the number of transmit antennas. In between these two extremes are the tree search (TS) algorithms, such as the popular sphere decoder, which have emerged as attractive choices for implementing MIMO detection, due to their excellent performancecomplexity trade-offs. In this paper, we survey some of the state-of-the-art VLSI implementations of TS algorithms and compare their results using various metrics such as the throughput and power consumption. We also present notable contributions that have been made in the last three decades in implementing TS algorithms for MIMO detection, especially with respect to achieving low-complexity, highthroughput designs. Finally, a number of design considerations and trade-offs for implementing MIMO detectors in hardware are presented.

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Section: Hardware Implementationsmentioning

confidence: 99%

Section: Non-constant K -Best Detectormentioning

confidence: 99%