FPGA-based Tabu search for detection in large-scale MIMO systems

Wu, Yun; McAllister, John

doi:10.1109/sips.2014.6986073

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…In [35] [36], one shows that the MRC (maximum ratio combining) achieves the same throughput as that of ZF for large number of antennas. Some optimal algorithm, such as ML in [37] and SD [38] [39], they investigate maximum likelihood. For heuristic detectors, these optimal algorithms have better performance, however the number of antenna still not large enough, and they easily reach the high complexity.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Turbo Receiver for Large-Scale MIMO Communications

2018

KSII TIIS

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Massive (large-scale) MIMO (multiple-input multiple-output) is one of the key technologies in next-generation wireless communication systems. This paper proposes a high-performance low-complexity turbo receiver for SC-FDMA (single-carrier frequency-division multiple access) based MMIMO (massive MIMO) systems. Because SC-FDMA technology has the desirable characteristics of OFDMA (orthogonal frequency division multiple access) and the low PAPR (peak-to-average power ratio) of SC transmission schemes, the 3GPP LTE (long-term evolution) has adopted it as the uplink transmission to meet the demand high data rate and low error rate performance. The complexity of computing will be increased greatly in base station with massive MIMO (MMIMO) system. In this paper, a low-complexity adaptive turbo equalization receiver based on normalized minimal symbol-error-rate for MMIMO SC-FDMA system is proposed. The proposed receiver is with low complexity than that of the conventional turbo MMSE (minimum mean square error) equalizer and is also with better bit error rate (BER) performance than that of the conventional adaptive turbo MMSE equalizer. Simulation results confirm the effectiveness of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Turbo Receiver for Large-Scale MIMO Communications

2018

KSII TIIS

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“…In this system, in spite of high performance brought by its fulfilling resource, the complexity of data precoding and/or signal detection is significantly increased, and sometimes leads to intractable computational load. To cope with this problem, many approaches have been considered; suboptimal maximum likelihood methods based on tabu search [2] or belief propagation [3] are shown to be effective for signal detection, and utilized also in precoding using vector perturbation for a large transmit array [4]. In the conventional multiuser MIMO downlink system, linear precoding techniques are widely used because of their theoretical simplicity and low computations.…”

Section: Introductionmentioning

confidence: 99%

Design method of multiuser MIMO system using large scale transmit array with low computational cost based on subarray division

Taniguchi

Karasawa

2016

IEICE ComEX

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This paper proposes an efficient design method of multiuser multiple input multiple output (MIMO) downlink system assuming use of a large array antenna in transmitter side. To reduce the heavy computational load required for transmit weight design, the large antenna is first divided into several subarrays, and block diagonalization method is applied to each of them. Then subarrays are again synthesized to a large array with the original size based on the concept of the maximum ratio combining (MRC), where two kinds of strategies, the transmitter first design and the receiver first approach are considered. Computer simulations show that the performance is degraded from the original method, but it can be achieved with significantly low computations so that it is utilizable even when the conventional block diagonalization is computationally impractical.

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Low Complexity, Pairwise Layered Tabu Search for Large Scale MIMO Detection

Chakraborty

Sinha

Mitra

2022

Wireless Pers Commun

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This paper presents a low complexity pairwise layered tabu search (PLTS) based detection algorithm for a large-scale multiple-input multipleoutput (MIMO) system. The proposed algorithm can compute two layers simultaneously and reduce the effective number of tabu searches. A metric update strategy is developed to reuse the computations from past visited layers. Also, a precomputation technique is adapted to reduce the redundancy in computation within tabu search iterations. Complexity analysis shows that the upper bound of initialization complexity in the proposed algorithm reduces from O(N 4 t ) to O(N 3 t ). The detection performance of the proposed detector is almost the same as the conventional complex version of LTS for 64QAM and 16QAM modulations. However, the proposed detector outperforms the conventional system for 4QAM modulation, especially in 16 × 16 and 8 × 8 MIMO. Simulation results show that the per cent of complexity reduction in the proposed method is approximately 75% for 64 × 64, 64QAM and 85% for 64 × 64 16QAM systems to achieve a BER of 10 −3 . Moreover, we have proposed a layer-dependent iteration number that can further reduce the upper bound of complexity with minor degradation in detection performance.

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FPGA-based Tabu search for detection in large-scale MIMO systems

Cited by 5 publications

References 12 publications

A Novel Adaptive Turbo Receiver for Large-Scale MIMO Communications

A Novel Adaptive Turbo Receiver for Large-Scale MIMO Communications

Design method of multiuser MIMO system using large scale transmit array with low computational cost based on subarray division

Low Complexity, Pairwise Layered Tabu Search for Large Scale MIMO Detection

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