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Reconfigurable intelligent surface aided NOMA networks

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.
0733-8716
Hou, Tianwei
b4dfd7f3-a866-4bcc-9ad6-e5849ff51cfc
Liu, Yuanwei
4bff35d5-479f-4239-b4a3-a3eb918b304e
Song, Zhengyu
bbbeecd6-1a28-4937-9708-474c48a8be2b
Sun, Xin
611518e6-1eda-483e-b689-360b08dd615e
Chen, Yue
9b646fd4-7826-4d0b-b81a-c4bc5eae1be1
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Hou, Tianwei
b4dfd7f3-a866-4bcc-9ad6-e5849ff51cfc
Liu, Yuanwei
4bff35d5-479f-4239-b4a3-a3eb918b304e
Song, Zhengyu
bbbeecd6-1a28-4937-9708-474c48a8be2b
Sun, Xin
611518e6-1eda-483e-b689-360b08dd615e
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. (In Press)

Record type: Article

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.

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NOMA_RIS - Accepted Manuscript
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Accepted/In Press date: 9 May 2020

Identifiers

Local EPrints ID: 440934
URI: http://eprints.soton.ac.uk/id/eprint/440934
ISSN: 0733-8716
PURE UUID: f250ee0c-a767-4e87-850d-c36abadf1dd1
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 22 May 2020 16:40
Last modified: 09 Jul 2020 04:01

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Contributors

Author: Tianwei Hou
Author: Yuanwei Liu
Author: Zhengyu Song
Author: Xin Sun
Author: Yue Chen
Author: Lajos Hanzo ORCID iD

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