Downlink power control and selection optimization in downlink-uplink decoupled access network

The escalating demands of 5th-generation mobile communication technologies (5G) for enhanced network capacity, energy efficiency, and quality of service drive the need for innovative network management and architecture designs. The Downlink-Uplink Decoupled access network (DUDe) represents a transformative approach, enabling independent optimization of connections to different Base Stations (BS), significantly boosting flexibility and efficiency in urban environments characterized by high user density and fluctuating traffic demands. This paper introduces a comprehensive optimization framework that employs Successive Convex Approximation (SCA) to refine power allocation, user access, and throughput in 5G networks. Through extensive simulations, the results demonstrate that this method notably surpasses traditional approaches by enhancing throughput and user satisfaction, marking a significant step toward next- generation network capabilities.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1117/12.3054113
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Downlink power control and selection optimization in downlink-uplink decoupled access network

Yang Zhao, Ming-Xian Cai, weibo yuan
Advanced MIMO Systems Optimization
article

Downlink power control and selection optimization in downlink-uplink decoupled access network

Yang Zhao, Ming-Xian Cai, weibo yuan
article en

Abstract

The escalating demands of 5th-generation mobile communication technologies (5G) for enhanced network capacity, energy efficiency, and quality of service drive the need for innovative network management and architecture designs. The Downlink-Uplink Decoupled access network (DUDe) represents a transformative approach, enabling independent optimization of connections to different Base Stations (BS), significantly boosting flexibility and efficiency in urban environments characterized by high user density and fluctuating traffic demands. This paper introduces a comprehensive optimization framework that employs Successive Convex Approximation (SCA) to refine power allocation, user access, and throughput in 5G networks. Through extensive simulations, the results demonstrate that this method notably surpasses traditional approaches by enhancing throughput and user satisfaction, marking a significant step toward next- generation network capabilities.

Sun Yat-sen University (CN)
Affordable and clean energy
Openalex Percentile: Top 80%
Advanced MIMO Systems Optimization
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