Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System

Dingjia Lin; Suhaib Al Basit; Kaidi Wang; Zhiguo Ding

doi:10.1109/ISWCS61526.2024.10639114

Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System

Dingjia Lin, Suhaib Al Basit, Kaidi Wang, Zhiguo Ding

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates a backscatter communication non-orthogonal multiple access (BackCom NOMA) system with a multi-antenna single access point (AP), where both downlink users and BackCom devices (BDs) have one antenna, and users possess perfect channel state information (CSI) while the AP has imperfect channel information. We optimize the sum uplink rate by adjusting beamforming vectors and reflection indices. Utilizing the S-procedure to address channel uncertainties and applying semidefinite relaxation (SDR) for problem convexification, we achieve a sub-optimal solution via an alternating optimization approach. Simulation results demonstrate the superiority of our proposed scheme compared to traditional user-focused power allocation strategies in sum uplink rate.

Original language	English
Title of host publication	2024 19th International Symposium on Wireless Communication Systems (ISWCS)
Publisher	IEEE
Pages	1-6
DOIs	https://doi.org/10.1109/ISWCS61526.2024.10639114
Publication status	Published - 23 Aug 2024
Event	2024 19th International Symposium on Wireless Communication Systems (ISWCS) - Rio de Janeiro, Brazil Duration: 14 Jul 2024 → 17 Jul 2024

Conference

Conference	2024 19th International Symposium on Wireless Communication Systems (ISWCS)
Period	14/07/24 → 17/07/24

Keywords

NOMA
Uncertainty
Array signal processing
Quality of service
Downlink
Vectors
Reflection coefficient

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10.1109/ISWCS61526.2024.10639114

EE_Maximization_with_Imperfect_CSI_at_Transmitter_in_BackCom_NOMA_SystemAccepted author manuscript, 1.04 MBLicence: CC BY

Cite this

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title = "Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System",

abstract = "This paper investigates a backscatter communication non-orthogonal multiple access (BackCom NOMA) system with a multi-antenna single access point (AP), where both downlink users and BackCom devices (BDs) have one antenna, and users possess perfect channel state information (CSI) while the AP has imperfect channel information. We optimize the sum uplink rate by adjusting beamforming vectors and reflection indices. Utilizing the S-procedure to address channel uncertainties and applying semidefinite relaxation (SDR) for problem convexification, we achieve a sub-optimal solution via an alternating optimization approach. Simulation results demonstrate the superiority of our proposed scheme compared to traditional user-focused power allocation strategies in sum uplink rate.",

keywords = "NOMA, Uncertainty, Array signal processing, Quality of service, Downlink, Vectors, Reflection coefficient",

author = "Dingjia Lin and {Al Basit}, Suhaib and Kaidi Wang and Zhiguo Ding",

year = "2024",

month = aug,

day = "23",

doi = "10.1109/ISWCS61526.2024.10639114",

language = "English",

pages = "1--6",

booktitle = "2024 19th International Symposium on Wireless Communication Systems (ISWCS)",

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note = "2024 19th International Symposium on Wireless Communication Systems (ISWCS) ; Conference date: 14-07-2024 Through 17-07-2024",

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T1 - Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System

AU - Lin, Dingjia

AU - Al Basit, Suhaib

AU - Wang, Kaidi

AU - Ding, Zhiguo

PY - 2024/8/23

Y1 - 2024/8/23

N2 - This paper investigates a backscatter communication non-orthogonal multiple access (BackCom NOMA) system with a multi-antenna single access point (AP), where both downlink users and BackCom devices (BDs) have one antenna, and users possess perfect channel state information (CSI) while the AP has imperfect channel information. We optimize the sum uplink rate by adjusting beamforming vectors and reflection indices. Utilizing the S-procedure to address channel uncertainties and applying semidefinite relaxation (SDR) for problem convexification, we achieve a sub-optimal solution via an alternating optimization approach. Simulation results demonstrate the superiority of our proposed scheme compared to traditional user-focused power allocation strategies in sum uplink rate.

AB - This paper investigates a backscatter communication non-orthogonal multiple access (BackCom NOMA) system with a multi-antenna single access point (AP), where both downlink users and BackCom devices (BDs) have one antenna, and users possess perfect channel state information (CSI) while the AP has imperfect channel information. We optimize the sum uplink rate by adjusting beamforming vectors and reflection indices. Utilizing the S-procedure to address channel uncertainties and applying semidefinite relaxation (SDR) for problem convexification, we achieve a sub-optimal solution via an alternating optimization approach. Simulation results demonstrate the superiority of our proposed scheme compared to traditional user-focused power allocation strategies in sum uplink rate.

KW - NOMA

KW - Uncertainty

KW - Array signal processing

KW - Quality of service

KW - Downlink

KW - Vectors

KW - Reflection coefficient

U2 - 10.1109/ISWCS61526.2024.10639114

DO - 10.1109/ISWCS61526.2024.10639114

M3 - Conference contribution

SP - 1

EP - 6

BT - 2024 19th International Symposium on Wireless Communication Systems (ISWCS)

PB - IEEE

T2 - 2024 19th International Symposium on Wireless Communication Systems (ISWCS)

Y2 - 14 July 2024 through 17 July 2024

ER -

Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System

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