Reconfigurable intelligent surface aided NOMA networks
Reconfigurable intelligent surface aided NOMA networks
Reconfigurable intelligent surfaces (RISs) constitute a promising performance enhancement for next-generation (NG) wireless networks in terms of enhancing both their spectral efficiency (SE) and energy efficiency (EE). We conceive a system for serving paired power-domain non-orthogonal multiple access (NOMA) users by designing the passive beamforming weights at the RISs. In an effort to evaluate the network performance, we first derive the best-case and worst-case of new channel statistics for characterizing the effective channel gains. Then, we derive the best-case and worst-case of our closed-form expressions derived both for the outage probability and for the ergodic rate of the prioritized user. For gleaning further insights, we investigate both the diversity orders of the outage probability and the high-signal-to-noise (SNR) slopes of the ergodic rate. We also derive both the SE and EE of the proposed network. Our analytical results demonstrate that the base station (BS)-user links have almost no impact on the diversity orders attained when the number of RISs is high enough. Numerical results are provided for confirming that: i) the high-SNR slope of the RIS-aided network is one; ii) the proposed RIS-aided NOMA network has superior network performance compared to its orthogonal counterpart.
NOMA, passive beamforming, reconfigurable intelligent surface
2575-2588
Hou, Tianwei
b4dfd7f3-a866-4bcc-9ad6-e5849ff51cfc
Liu, Yuanwei
edcf36fa-2653-46c0-8e36-e8144010498e
Song, Zhengyu
bbbeecd6-1a28-4937-9708-474c48a8be2b
Sun, Xin
806d8a96-3b36-44a3-b87b-78cbc32e8759
Chen, Yue
9b646fd4-7826-4d0b-b81a-c4bc5eae1be1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 November 2020
Hou, Tianwei
b4dfd7f3-a866-4bcc-9ad6-e5849ff51cfc
Liu, Yuanwei
edcf36fa-2653-46c0-8e36-e8144010498e
Song, Zhengyu
bbbeecd6-1a28-4937-9708-474c48a8be2b
Sun, Xin
806d8a96-3b36-44a3-b87b-78cbc32e8759
Chen, Yue
9b646fd4-7826-4d0b-b81a-c4bc5eae1be1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Hou, Tianwei, Liu, Yuanwei, Song, Zhengyu, Sun, Xin, Chen, Yue and Hanzo, Lajos
(2020)
Reconfigurable intelligent surface aided NOMA networks.
IEEE Journal on Selected Areas in Communications, 38 (11), , [9133094].
(doi:10.1109/JSAC.2020.3007039).
Abstract
Reconfigurable intelligent surfaces (RISs) constitute a promising performance enhancement for next-generation (NG) wireless networks in terms of enhancing both their spectral efficiency (SE) and energy efficiency (EE). We conceive a system for serving paired power-domain non-orthogonal multiple access (NOMA) users by designing the passive beamforming weights at the RISs. In an effort to evaluate the network performance, we first derive the best-case and worst-case of new channel statistics for characterizing the effective channel gains. Then, we derive the best-case and worst-case of our closed-form expressions derived both for the outage probability and for the ergodic rate of the prioritized user. For gleaning further insights, we investigate both the diversity orders of the outage probability and the high-signal-to-noise (SNR) slopes of the ergodic rate. We also derive both the SE and EE of the proposed network. Our analytical results demonstrate that the base station (BS)-user links have almost no impact on the diversity orders attained when the number of RISs is high enough. Numerical results are provided for confirming that: i) the high-SNR slope of the RIS-aided network is one; ii) the proposed RIS-aided NOMA network has superior network performance compared to its orthogonal counterpart.
Text
NOMA_RIS
- Accepted Manuscript
More information
Accepted/In Press date: 9 May 2020
e-pub ahead of print date: 3 July 2020
Published date: 1 November 2020
Additional Information:
Funding Information:
Manuscript received December 20, 2019; revised April 28, 2020; accepted May 9, 2020. Date of publication July 3, 2020; date of current version October 16, 2020. This work was supported by the National Natural Science Foundation of China under Grant 61901027. The work of Lajos Hanzo was supported in part by Engineering and Physical Sciences Research Council Projects under Grant EP/N004558/1, Grant EP/P034284/1, Grant EP/P034284/1, and Grant EP/P003990/1 (COALESCE), in part by the Royal Society’s Global Challenges Research Fund Grant, and in part by the European Research Council’s Advanced Fellow Grant Quantcom. This article was presented in part at the IEEE Global Communication Conference, Taipei, Taiwan, December 2020. (Corresponding authors: Zhengyu Song; Lajos Hanzo.) Tianwei Hou, Zhengyu Song, and Xin Sun are with the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China (e-mail: 16111019@bjtu.edu.cn; songzy@bjtu.edu.cn; xsun@bjtu.edu.cn).
Publisher Copyright:
© 1983-2012 IEEE.
Keywords:
NOMA, passive beamforming, reconfigurable intelligent surface
Identifiers
Local EPrints ID: 440934
URI: http://eprints.soton.ac.uk/id/eprint/440934
ISSN: 0733-8716
PURE UUID: f250ee0c-a767-4e87-850d-c36abadf1dd1
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Date deposited: 22 May 2020 16:40
Last modified: 18 Mar 2024 05:26
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Author:
Tianwei Hou
Author:
Yuanwei Liu
Author:
Zhengyu Song
Author:
Xin Sun
Author:
Yue Chen
Author:
Lajos Hanzo
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