Area-Efficient Antenna-Scalable MIMO Detector for K-best Sphere Decoding

Moezzi-Madani, Nariman; Thorolfsson, Thorlindur; Chiang, Patrick; Davis, W. Rhett

doi:10.1007/s11265-011-0595-9

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…However, the simplified datapath of the real channel model is advantageous as there is better potential to achieve a higher maximum clock frequency, thereby, achieving a higher throughput. However, in single-tree architectures [3,21], the shorter latency of the complex channel model is advantageous, as the throughput is now directly proportional to the latency. As a result, the real channel model is more attractive for applications where high throughput is the most critical requirement.…”

Section: Throughputmentioning

confidence: 99%

VLSI Implementation of a Fully-Pipelined K-Best MIMO Detector with Successive Interference Cancellation

Bello

Halak

El‐Hajjar

et al. 2019

Circuits Syst Signal Process

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Multiple-input multiple-output (MIMO) technology is envisaged to play an important role in future wireless communications. To this end, novel algorithms and architectures are required to implement high-throughput MIMO communications at low power consumption. In this paper, we present the hardware implementation of a modified K-best algorithm combining conventional K-best detection and low-complexity successive interference cancellation at different levels of the tree search. The detector is implemented using a fully-pipelined architecture, which detects one symbol vector per clock cycle. To reduce the power consumption of the entire receiver unit, costly symbol-rate operations such as multiplication are eliminated both within and outside the detector without any impact on the performance. The hardware implementation of the modified K-best algorithm achieves area and power reductions of 16% and 38%, respectively, compared with the conventional K-best algorithm implementation, while incurring a signal-to-noise ratio penalty of 0.3 dB at the target bit error rate. Post-synthesis analysis shows that the detector achieves a throughput of 3.29 Gbps at a clock frequency of 137 MHz with a power consumption of 357 mW using a 65-nm CMOS process, which compares favourably with the state-of-the-art implementations in the literature.

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Section: Throughputmentioning

confidence: 99%

VLSI Implementation of a Fully-Pipelined K-Best MIMO Detector with Successive Interference Cancellation

Bello

Halak

El‐Hajjar

et al. 2019

Circuits Syst Signal Process

View full text Add to dashboard Cite

show abstract

“…A key requirement of the downlink (Access Point link to user terminal) in a MIMO system is to reduce computational complexity at the user terminal to enable hardware implementation, while maintaining good performance [2]. Consequently, tree-searching algorithm in Sphere Decoding(SD) has appeared as a strong candidate [3] and the K-best which can be embraced for the reason, that it has a near optimal performance and low complexity [4]. Research work has been focusing on these theories and Schnorr-Euchner enumeration targets to reduce the overall complexity [5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Efficient Sphere Decoding with Reed-Solomon Code in MIMO Detection

Solanki¹,

Gupta²

2019

IJITEE

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An optimal receiver recovering transmitted signals across a noisy communication channel employs an efficient impact as Sphere Decoding (SD) benchmark to reduce the probability of error. This system can employ a coding strategy for information security where the data symbol space forms a scant lattice. The sparsity structure is resolved through channel code. In this article, motivated by this idea, we present novel efficient detection-decoding combinational techniques using Reed-Solomon (RS) decoding followed by the single tree search (STS) algorithm in SD detection. The simulation results determine that the proposed method of improving the performance of 1.6 dB at the bit error rate (BER) of has a significant impact.

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