Analysis and Optimization of Massive Access to the IoT Relying on Multi-Pair Two-Way Massive MIMO Relay Systems

We investigate massive access in the Internet-of-Things (IoT) relying on multi-pair two-way amplify-and-forward (AF) relay systems using massive multiple-input multiple-output (MIMO). We utilize the approximate message passing (AMP) algorithm for joint device activity detection and channel estimatio...

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Vydáno v:IEEE transactions on communications Ročník 69; číslo 7; s. 4585 - 4598
Hlavní autoři: Peng, Zhangjie, Chen, Xianzhe, Xu, Wei, Pan, Cunhua, Wang, Li-Chun, Hanzo, Lajos
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
amplify-and-forward relay
Approximation algorithms
Beamforming
Channel estimation
Closed form solutions
Exact solutions
Internet of Things
Internet-of-Things (IoT)
Massive access
Massive MIMO
massive multiple-input multiple-output (MIMO)
Mathematical analysis
Message passing
MIMO
Optimization
Relay systems
Simulation
two-way
ISSN:0090-6778, 1558-0857
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Shrnutí:We investigate massive access in the Internet-of-Things (IoT) relying on multi-pair two-way amplify-and-forward (AF) relay systems using massive multiple-input multiple-output (MIMO). We utilize the approximate message passing (AMP) algorithm for joint device activity detection and channel estimation. Furthermore, we analyze the achievable rates for multiple pairs of active devices and derive the closed-form expressions for both maximum-ratio combining/maximum-ratio transmission (MRC/MRT) and zero-forcing reception/zero-forcing transmission (ZFR/ZFT)-based beamforming schemes adopted at the relay. Moreover, to improve the achievable sum rates, we propose a low-complexity algorithm for optimizing the pilot length <inline-formula> <tex-math notation="LaTeX">L </tex-math></inline-formula>. Our simulation results verify the accuracy of the closed-form expressions of the MRC/MRT and ZFR/ZFT scenarios. Finally, the proposed pilot-length optimization algorithm performs well in both the MRC/MRT and ZFR/ZFT scenarios.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2021.3072725