Nguyen, H.M. and Tran, X.N. and Pham, V.B. and Nguyen, C.D. (2018) Low-Complexity Estimation for Spatially Modulated Physical-Layer Network Coding Systems. Wireless Communications and Mobile Computing, 2018: 6310519. ISSN 15308669
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Abstract
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. © 2018 Huu Minh Nguyen et al.
Item Type: | Article |
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Divisions: | Faculties > Faculty of Control Engineering Faculties > Faculty of Radio-Electronic Engineering |
Identification Number: | 10.1155/2018/6310519 |
Uncontrolled Keywords: | Antennas; Complex networks; Computational complexity; Maximum likelihood estimation; Network coding; Network layers; Channel quantization; Complexity estimation; High order modulation; Maximum likelihood detectors; Performance evaluations; Physical layer network coding (PNC); Signal constellation; Successive interference cancellation(SIC); Quadrature amplitude modulation |
Additional Information: | Language of original document: English. All Open Access, Gold, Green. |
URI: | http://eprints.lqdtu.edu.vn/id/eprint/9615 |