학술논문

Traffic-Aware Optimal Multi-Beam Resource Allocation in 5G Networks Impaired by Rain and Foliage
Document Type
Periodical
Source
IEEE Communications Letters IEEE Commun. Lett. Communications Letters, IEEE. 28(3):612-616 Mar, 2024
Subject
Communication, Networking and Broadcast Technologies
Attenuation
Rain
Resource management
5G mobile communication
Propagation losses
Bandwidth
Radio spectrum management
Fifth generation (5G)
foliage attenuation
millimeter wave
multi-beam resource allocation
rain attenuation
Language
ISSN
1089-7798
1558-2558
2373-7891
Abstract
In this letter, we study a traffic-aware multi-beam optimal resource allocation strategy for fixed home users who are serviced through the utilization of simultaneous multiple beams generated by next-generation node B (gNB). The strategy takes into account the effects of rain and foliage attenuation. We propose a graphical methodology that is combined with a closed-form expression to compute the optimal coverage radius of gNB. Afterwards, the k-means clustering algorithm is utilized to determine an optimal location for the gNB. In this study, we also present an approach that employs non-linear programming (NLP) to allocate power and bandwidth among individual beams, with an objective of satisfying the traffic requirements of each user. From the results, it is evident that our proposed approach exhibits superior performance in scenarios characterized by rain and foliage attenuation, in comparison to alternatives relying on genetic algorithms and surrogate optimization. approaches.