Achievable Rate Analysis of the STAR-RIS Aided NOMA Uplink in the Face of Imperfect CSI and Hardware Impairments

Reconfigurable intelligent surfaces (RIS) are capable of beneficially ameliorating the propagation environment by appropriately controlling the passive reflecting elements. To extend the coverage area, the concept of simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-...

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Bibliographic Details
Published in:IEEE transactions on communications 2023-10, Vol.71 (10), p.1-1
Main Authors: Li, Qingchao, El-Hajjar, Mohammed, Sun, Yanshi, Hemadeh, Ibrahim, Shojaeifard, Arman, Liu, Yuanwei, Hanzo, Lajos
Format: Article
Language:English
Subjects:
Algorithms
Channel estimation
Codes
Ergodic processes
Hardware
hardware impairments (HWI)
imperfect channel state information (CSI)
NOMA
non-orthogonal multiple access (NOMA)
Nonorthogonal multiple access
Phase noise
Protocols
Reconfigurable hardware
Reconfigurable intelligent surfaces
Reconfigurable intelligent surfaces (RIS)
simultaneous transmitting and reflecting (STAR)
Transceivers
Uplink
Uplinking
Upper bounds
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Summary:Reconfigurable intelligent surfaces (RIS) are capable of beneficially ameliorating the propagation environment by appropriately controlling the passive reflecting elements. To extend the coverage area, the concept of simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) has been proposed, yielding supporting 360° coverage user equipment (UE) located on both sides of the RIS. In this paper, we theoretically formulate the ergodic sum-rate of the STAR-RIS assisted non-orthogonal multiple access (NOMA) uplink in the face of channel estimation errors and hardware impairments (HWI). Specifically, the STAR-RIS phase shift is configured based on the statistical channel state information (CSI), followed by linear minimum mean square error (LMMSE) channel estimation of the equivalent channel spanning from the UEs to the access point (AP). Afterwards, successive interference cancellation (SIC) is employed at the AP using the estimated instantaneous CSI, and we derive the theoretical ergodic sum-rate upper bound for both perfect and imperfect SIC decoding algorithm. The theoretical analysis and the simulation results show that both the channel estimation and the ergodic sum-rate have performance floor at high transmit power region caused by transceiver hardware impairments.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2023.3287995