Analysis and optimization of massive access to the IoT relying on multi-pair two-way massive MIMO relay systems
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 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 L. 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.
Internet-of-Things (IoT), Massive access, amplify-and-forward relay, beamforming, massive multiple-input multiple-output (MIMO), two-way
4585-4598
Peng, Zhangjie
a68d70bd-f1ed-4b47-b336-440102a5ce27
Chen, Xianzhe
d50af7aa-2420-4be6-aff7-9f81a87738a3
Pan, Cunhua
0d8b3e45-084b-43fe-a484-b36db290e65a
Wang, Li-Chun
5579b570-f8a3-4466-b118-b37df8970642
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
July 2021
Peng, Zhangjie
a68d70bd-f1ed-4b47-b336-440102a5ce27
Chen, Xianzhe
d50af7aa-2420-4be6-aff7-9f81a87738a3
Pan, Cunhua
0d8b3e45-084b-43fe-a484-b36db290e65a
Wang, Li-Chun
5579b570-f8a3-4466-b118-b37df8970642
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Peng, Zhangjie, Chen, Xianzhe, Pan, Cunhua, Wang, Li-Chun and Hanzo, Lajos
(2021)
Analysis and optimization of massive access to the IoT relying on multi-pair two-way massive MIMO relay systems.
IEEE Transactions on Communications, 69 (7), , [9400853].
(doi:10.1109/TCOMM.2021.3072725).
Abstract
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 L. 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.
Text
Analysis and Optimization of Massive Access to the IoT Relying on Multi-Pair Two-Way Massive MIMO Relay Systems
- Accepted Manuscript
More information
e-pub ahead of print date: 4 April 2021
Published date: July 2021
Additional Information:
Funding Information:
Manuscript received January 3, 2021; revised March 4, 2021; accepted April 1, 2021. Date of publication April 12, 2021; date of current version July 15, 2021. This work was supported in part by the NSFC under Grant 61701307, the open research fund of National Mobile Communications Research Laboratory, Southeast University under Grant 2018D14, and the Natural Science Foundation of Shanghai under Grant 18ZR1428000. The work of Wei Xu was supported by the National Natural Science Foundation of China under Grants 62022026 and 61871109 as well as by the Natural Science Foundation of Jiangsu Province under Grants BK20190012. The work of Li-Chun Wang was supported by the Ministry of Science and Technology under the Grants MOST 110-2634-F-009-021 and 108-2911-I-009-517 through Pervasive Artificial Intelligence Research (PAIR) Labs, Taiwan. The work of Lajos Hanzo was supported by the Engineering and Physical Sciences Research Council projects EP/P034284/1 and EP/P003990/1 (COALESCE) as well as by the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028). The associate editor coordinating the review of this article and approving it for publication was C. Yuen. (Corresponding author: Wei Xu.) Zhangjie Peng is with the College of Information, Mechanical, and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China, also with the National Mobile Communications Research Laboratory, South-east University, Nanjing 210096, China, and also with the Shanghai Engineering Research Center of Intelligent Education and Bigdata, Shanghai Normal University, Shanghai 200234, China (e-mail: pengzhangjie@shnu.edu.cn).
Publisher Copyright:
© 1972-2012 IEEE.
Keywords:
Internet-of-Things (IoT), Massive access, amplify-and-forward relay, beamforming, massive multiple-input multiple-output (MIMO), two-way
Identifiers
Local EPrints ID: 448232
URI: http://eprints.soton.ac.uk/id/eprint/448232
ISSN: 0090-6778
PURE UUID: d9c62350-275a-4602-bcc8-b1784d51145c
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Date deposited: 15 Apr 2021 16:34
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Zhangjie Peng
Author:
Xianzhe Chen
Author:
Cunhua Pan
Author:
Li-Chun Wang
Author:
Lajos Hanzo
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