A multistage linear receiver approach for MMSE detection in massive MIMO

Li, Ting; Patole, Sujeet; Torlak, Murat

doi:10.1109/acssc.2014.7094837

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…It is reasonable to assume that the large-scale fading coefficients are the same for one user and different from those of the others because the distances between the antenna elements are very much smaller than those from the users to the BS. e large-scale fading coefficient corresponding to ith user is given by [14] b…”

Section: Uplink Massive Mimo System Modelmentioning

confidence: 99%

Signal Detection Based on Parallel Group Detection Algorithm for High-Load Massive MIMO Systems

Nguyen

Le²,

Ngo

2019

Wireless Communications and Mobile Computing

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In this paper, a parallel group detection (PGD) algorithm is proposed in order to address the degradation in the bit error rate (BER) performance of linear detectors when they are used in high-load massive MIMO systems. e algorithm is constructed by converting the equivalent extended massive MIMO system into two subsystems, which can be simultaneously detected by the classical detection procedures. en, using the PGD and the classical ZF as well as the QR-decomposition-(QRD-) based detectors, we proposed two new detectors, called ZF-based PGD (ZF-PGD) and QRD-based PGD (QRD-PGD). e PGD is further combined with the sorted longest basis (SLB) algorithm to make the signal recovery more accurate, thereby resulting in two new detectors, namely, the ZF-PGD-SLB and the QRD-PGD-SLB. Various complexity evaluations and simulations prove that the proposed detectors can signi cantly improve the BER performance compared to their classical linear and QRD counterparts with the practical complexity levels. Hence, our proposed detectors can be used as e cient means of estimating the transmitted signals in high-load massive MIMO systems.

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Section: Uplink Massive Mimo System Modelmentioning

confidence: 99%