Joint Beam and Power Allocation for Energy Efficient Capacity Enhancement in RIS-Assisted mmWave Networks

Reconfigurable Intelligent Surfaces (RIS) are perceived as cost-effective entities capable of expanding network coverage and enhancing system performance in 6G networks. Considering an RIS-assisted 6G millimeter network, this paper aims to find low-complexity beam and power allocations that maximize the network throughput. To resolve the complexity of such a mixed-integer non-convex programming problem, an iterative power decremental method is developed to solve the beam and power allocation problem alternatively under the system design constraints, making use of the concept of difference of convex functions and the zeroth-order gradient ascent method. Simulation results verify the superiority of the proposed method and its effectiveness in RIS-assisted millimeter networks.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757862
Citations
1
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.21
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article

Joint Beam and Power Allocation for Energy Efficient Capacity Enhancement in RIS-Assisted mmWave Networks

Sau-Hsuan Wu, Yu-Chih Huang, Chun-Hsien Ko, Horng‐Chih Lin
1 citations
Millimeter-Wave Propagation and Modeling
0.21
article

Joint Beam and Power Allocation for Energy Efficient Capacity Enhancement in RIS-Assisted mmWave Networks

Sau-Hsuan Wu, Yu-Chih Huang, Chun-Hsien Ko, Horng‐Chih Lin
article en
1 citations

Abstract

Reconfigurable Intelligent Surfaces (RIS) are perceived as cost-effective entities capable of expanding network coverage and enhancing system performance in 6G networks. Considering an RIS-assisted 6G millimeter network, this paper aims to find low-complexity beam and power allocations that maximize the network throughput. To resolve the complexity of such a mixed-integer non-convex programming problem, an iterative power decremental method is developed to solve the beam and power allocation problem alternatively under the system design constraints, making use of the concept of difference of convex functions and the zeroth-order gradient ascent method. Simulation results verify the superiority of the proposed method and its effectiveness in RIS-assisted millimeter networks.

National Yang Ming Chiao Tung University (TW)
Affordable and clean energy
Openalex Percentile: Top 44%
Millimeter-Wave Propagation and Modeling
0.21
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