Hybrid transceiver optimization for multi-hop communications
Hybrid transceiver optimization for multi-hop communications
Multi-hop communication with the aid of large-scale antenna arrays will play a vital role in future emergence communication systems. In this paper, we investigate amplify-and-forward based and multiple-input multiple-output assisted multi-hop communication, in which all nodes employ hybrid transceivers. Moreover, channel errors are taken into account in our hybrid transceiver design. Based on the matrix-monotonic optimization framework, the optimal structures of the robust hybrid transceivers are derived. By utilizing these optimal structures, the optimizations of analog transceivers and digital transceivers can be separated without loss of optimality. This fact greatly simplifies the joint optimization of analog and digital transceivers. Since the optimization of analog transceivers under unit-modulus constraints is nonconvex, a projection type algorithm is proposed for analog transceiver optimization to overcome this difficulty. Based on the derived analog transceivers, the optimal digital transceivers can then be derived using matrix-monotonic optimization. Numerical results obtained demonstrate the performance advantages of the proposed hybrid transceiver designs over other existing solutions.
Hybrid transceiver optimizations, emergence communications, linear transceiver, matrix-monotonic optimization, multi-hop communication, nonlinear transceiver
1880-1895
Xing, Chengwen
e637b966-a981-4e4b-8309-22a209513aa2
Zhao, Xin
d7b57080-c853-4714-ad37-8ce92c394ce6
Wang, Shuai
66c5326f-4a61-4393-9820-97f8e867076e
Xu, Wei
24d1a148-1dd1-40e7-aed2-89e73d0bcbcd
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
20 August 2020
Xing, Chengwen
e637b966-a981-4e4b-8309-22a209513aa2
Zhao, Xin
d7b57080-c853-4714-ad37-8ce92c394ce6
Wang, Shuai
66c5326f-4a61-4393-9820-97f8e867076e
Xu, Wei
24d1a148-1dd1-40e7-aed2-89e73d0bcbcd
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Xing, Chengwen, Zhao, Xin, Wang, Shuai, Xu, Wei, Ng, Soon and Chen, Sheng
(2020)
Hybrid transceiver optimization for multi-hop communications.
IEEE Journal on Selected Areas in Communications, 38 (8), , [9112292].
(doi:10.1109/JSAC.2020.3000808).
Abstract
Multi-hop communication with the aid of large-scale antenna arrays will play a vital role in future emergence communication systems. In this paper, we investigate amplify-and-forward based and multiple-input multiple-output assisted multi-hop communication, in which all nodes employ hybrid transceivers. Moreover, channel errors are taken into account in our hybrid transceiver design. Based on the matrix-monotonic optimization framework, the optimal structures of the robust hybrid transceivers are derived. By utilizing these optimal structures, the optimizations of analog transceivers and digital transceivers can be separated without loss of optimality. This fact greatly simplifies the joint optimization of analog and digital transceivers. Since the optimization of analog transceivers under unit-modulus constraints is nonconvex, a projection type algorithm is proposed for analog transceiver optimization to overcome this difficulty. Based on the derived analog transceivers, the optimal digital transceivers can then be derived using matrix-monotonic optimization. Numerical results obtained demonstrate the performance advantages of the proposed hybrid transceiver designs over other existing solutions.
Text
Hybrid-MH-Transceiver-d
- Accepted Manuscript
Text
JSAC2020-8
- Version of Record
More information
Accepted/In Press date: 17 February 2020
e-pub ahead of print date: 9 June 2020
Published date: 20 August 2020
Keywords:
Hybrid transceiver optimizations, emergence communications, linear transceiver, matrix-monotonic optimization, multi-hop communication, nonlinear transceiver
Identifiers
Local EPrints ID: 438135
URI: http://eprints.soton.ac.uk/id/eprint/438135
ISSN: 0733-8716
PURE UUID: dbeee03a-8dc7-477a-b3af-200444c1b64c
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Date deposited: 03 Mar 2020 17:30
Last modified: 17 Mar 2024 02:46
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Contributors
Author:
Chengwen Xing
Author:
Xin Zhao
Author:
Shuai Wang
Author:
Wei Xu
Author:
Soon Ng
Author:
Sheng Chen
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