A Joint Power-Aware Spectral Efficient Chunk Allocation, Relay Selection, and Energy Efficient Power Control in OFDMA-PNC Communication

In recent years, besides spectral efficiency (SE), improving energy efficiency (EE) has become a crucial optimization metric in radio resource allocation (RA). This work addresses the joint problem of chunk-level spectral efficient chunk allocation, relay selection, and a subcarrier-level energy-efficient power control algorithm in a multi-user multi-relay orthogonal frequency division multiple access-physical layer network coding (OFDMA-PNC) system. The resulting mixed-integer nonlinear programming (MINLP) problem is NP-hard and computationally intensive. To manage complexity, chunk-level algorithms are used for subcarrier allocation and relay selection. Two MILP solvers and two heuristics handle chunk and relay allocation via Alternating Optimization (AO) method, while power levels are optimized using a convex optimization solver with the Dinkelbach (DKB) algorithm. Simulation results indicate that in a mobile network where user equipment operates at a maximum consumed power of 33.6 dBm, our proposed joint chunk allocation and relay selection method outperforms the heuristic approach, achieving 85% higher SE and a 47% improvement in EE. Additionally, our proposed suboptimal power control algorithm achieves results closely matching the optimal solution obtained using the DKB algorithm, demonstrating its effectiveness in balancing performance and computational efficiency.

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Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojcoms.2025.3627499
Primary Topic
Cooperative Communication and Network Coding
Type
article
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article

A Joint Power-Aware Spectral Efficient Chunk Allocation, Relay Selection, and Energy Efficient Power Control in OFDMA-PNC Communication

Firooz B. Saghezchi, Ali Ashraf Jamshidi, Ehsan Atefat Doost, Jonathan Rodrı́guez et al.
IEEE Open Journal of the Communications Society
Cooperative Communication and Network Coding
article

A Joint Power-Aware Spectral Efficient Chunk Allocation, Relay Selection, and Energy Efficient Power Control in OFDMA-PNC Communication

Firooz B. Saghezchi, Ali Ashraf Jamshidi, Ehsan Atefat Doost, Jonathan Rodrı́guez, António Navarro
article en

Abstract

In recent years, besides spectral efficiency (SE), improving energy efficiency (EE) has become a crucial optimization metric in radio resource allocation (RA). This work addresses the joint problem of chunk-level spectral efficient chunk allocation, relay selection, and a subcarrier-level energy-efficient power control algorithm in a multi-user multi-relay orthogonal frequency division multiple access-physical layer network coding (OFDMA-PNC) system. The resulting mixed-integer nonlinear programming (MINLP) problem is NP-hard and computationally intensive. To manage complexity, chunk-level algorithms are used for subcarrier allocation and relay selection. Two MILP solvers and two heuristics handle chunk and relay allocation via Alternating Optimization (AO) method, while power levels are optimized using a convex optimization solver with the Dinkelbach (DKB) algorithm. Simulation results indicate that in a mobile network where user equipment operates at a maximum consumed power of 33.6 dBm, our proposed joint chunk allocation and relay selection method outperforms the heuristic approach, achieving 85% higher SE and a 47% improvement in EE. Additionally, our proposed suboptimal power control algorithm achieves results closely matching the optimal solution obtained using the DKB algorithm, demonstrating its effectiveness in balancing performance and computational efficiency.

IEEE Open Journal of the Communications SocietyVol. 6
Shiraz University (IR), Instituto de Telecomunicações (PT), RWTH Aachen University (DE)
Openalex Percentile: Top 63%
Cooperative Communication and Network Coding
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A Joint Power-Aware Spectral Efficient Chunk Allocation, Relay Selection, and Energy Efficient Power Control in OFDMA-PNC Communication — Firooz B. Saghezchi, Ali Ashraf Jamshidi, et al. · IEEE Open Journal of the Communications Society (2025) | TGRS Research Map | TGRS