Power Allocation Optimization and Decoding Order Selection in Uplink C-NOMA Networks

Mohamed Elhattab; Mohamed Amine Arfaoui; Chadi Assi; Ali Ghrayeb; Marwa Qaraqe

doi:10.1109/LCOMM.2022.3214445

Power Allocation Optimization and Decoding Order Selection in Uplink C-NOMA Networks

Mohamed Elhattab, Mohamed Amine Arfaoui, Chadi Assi^*, Ali Ghrayeb, Marwa Qaraqe

^*Corresponding author for this work

CSE Information & Computing Technology

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

In this letter, we investigate the power allocation and decoding order at the base station (BS) of two-user uplink (UL) cooperative non-orthogonal multiple access (C-NOMA)-based cellular networks. We formulate a joint optimization problem aiming at maximizing the minimum user achievable rate. Given that the problem at hand is non-convex, as an alternative, we derive low-complexity and near optimal analytical expressions for the power allocation coefficients. We demonstrate through numerical results that the proposed scheme provides superior performance in comparison with the traditional UL NOMA. We also demonstrate that, in UL C-NOMA, decoding the far NOMA user first at the BS provides the best performance.

Original language	English
Pages (from-to)	352-356
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2022.3214445
Publication status	Published - 1 Jan 2023

Keywords

C-noma
Cellular networks
Decoding
Fairness
Noma
Power allocation
Resource management
Signal to noise ratio
Symbols
Uplink

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10.1109/LCOMM.2022.3214445

Cite this

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title = "Power Allocation Optimization and Decoding Order Selection in Uplink C-NOMA Networks",

abstract = "In this letter, we investigate the power allocation and decoding order at the base station (BS) of two-user uplink (UL) cooperative non-orthogonal multiple access (C-NOMA)-based cellular networks. We formulate a joint optimization problem aiming at maximizing the minimum user achievable rate. Given that the problem at hand is non-convex, as an alternative, we derive low-complexity and near optimal analytical expressions for the power allocation coefficients. We demonstrate through numerical results that the proposed scheme provides superior performance in comparison with the traditional UL NOMA. We also demonstrate that, in UL C-NOMA, decoding the far NOMA user first at the BS provides the best performance.",

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AB - In this letter, we investigate the power allocation and decoding order at the base station (BS) of two-user uplink (UL) cooperative non-orthogonal multiple access (C-NOMA)-based cellular networks. We formulate a joint optimization problem aiming at maximizing the minimum user achievable rate. Given that the problem at hand is non-convex, as an alternative, we derive low-complexity and near optimal analytical expressions for the power allocation coefficients. We demonstrate through numerical results that the proposed scheme provides superior performance in comparison with the traditional UL NOMA. We also demonstrate that, in UL C-NOMA, decoding the far NOMA user first at the BS provides the best performance.

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KW - Cellular networks

KW - Decoding

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Power Allocation Optimization and Decoding Order Selection in Uplink C-NOMA Networks

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Keywords

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