Channel quantization based physical-layer network coding for MIMO two-way relay networks

Nguyen, Huu Minh; Pham, Van Bien; Tran, Xuan Nam

doi:10.1109/atc.2016.7764773

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Combination of MIMO and PNC for the two-way relay networks has received increasing attention recently [6][7][8][9][10][11][12]. In [6], the authors proposed a two-way relay network model in which all nodes have two antennas to transmit Alamouti codes.…”

Section: Related Workmentioning

confidence: 99%

“…Channel quantization was not used in these works and thus, performance could be further improved. The last work [12] integrates channel quantization into the MIMO-SDM system. However, since SDM was used in order to increase the spectrum efficiency, error performance was not optimized due to the multiplexing-diversity trade-off.…”

Section: Related Workmentioning

confidence: 99%

“…Second, we propose an adaptive mapping scheme based on minimum residual interference power to reduce the effect of quantization error. This adaptive scheme differs from those of [3,12] in that we propose the minimum residual interference power as a metric for adaptation while both the previous works use the quantization step. Finally, a relay selection method based on minimum residual interference power is proposed as a solution to increase further the system performance.…”

Section: Contributions Of the Papermentioning

confidence: 99%

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Channel quantization-based physical-layer network coding for two-way relay STBC system

Nguyen

Tran

Pham³

2017

Vietnam J Comput Sci

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Wireless multiple-input multiple-output (MIMO) two-way relay systems have received increasing attention recently. In a simple two-hop relay system, physical-layer network coding (PNC) is an effective scheme for relay to map the transmitted symbols from two terminal nodes into the network coded symbol. This paper considers a two-hop two-way relay system which uses the Alamouti space-time code for signaling between all nodes and channel quantization for PNC mapping at the relay. Specifically, based on the concept of CQ-PNC we derive a PNC mapping rule for two pairs of network coded symbols. An adaptive mapping scheme based on minimum residual interference power is introduced to reduce the effect of quantization error. Finally, a relay selection method based on minimum residual interference power is proposed as a means to increase the system performance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Contributions Of the Papermentioning

confidence: 99%

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Channel quantization-based physical-layer network coding for two-way relay STBC system

Nguyen

Tran

Pham³

2017

Vietnam J Comput Sci

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“…Aiming at enhancing system performance, PNC was also proposed to combine with multiple-input multiple-output (MIMO) transmission techniques such as spatial multiplexing [7] or space-time coding [8]. However, using MIMO transmission amounts to employment of multiple radio frequency (RF) chains, causing problems in not only strict antenna synchronization but also power consumption.…”

Section: Introductionmentioning

confidence: 99%

Low‐Complexity Estimation for Spatially Modulated Physical‐Layer Network Coding Systems

Nguyen

Tran

Pham³

et al. 2018

Wireless Communications and Mobile Computing

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This paper proposes a low-complexity signal estimator at the relay node for a spatially modulated physical-layer network coding system. In the considered system, the two terminal nodes use spatial modulation to transmit their signals to the relay node during the multiple access phase. Based on the channel quantization method, we propose a low-complexity estimator which can detect both antenna indices and M-QAM symbols using successive interference cancellation (SIC). Moreover, we design signal constellations for a combined signal component at the relay for arbitrary M-QAM modulation. The obtained constellations allow further reduction of the computational complexity of the estimator. Performance evaluations show that the proposed estimator can achieve near-optimal error performance while requiring significantly less computational complexity compared with the maximum-likelihood detector, particularly with high-order modulation.

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Opportunistic MIMO Two-Way Relaying: Diversity-Multiplexing Tradeoff Analysis

Bastami

2019

IEEE Commun. Lett.

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Channel quantization based physical-layer network coding for MIMO two-way relay networks

Cited by 6 publications

References 11 publications

Channel quantization-based physical-layer network coding for two-way relay STBC system

Channel quantization-based physical-layer network coding for two-way relay STBC system

Low‐Complexity Estimation for Spatially Modulated Physical‐Layer Network Coding Systems

Opportunistic MIMO Two-Way Relaying: Diversity-Multiplexing Tradeoff Analysis

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