IREE Oriented Green 6G Networks: A Radial Basis Function Based Approach

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Yu, Tao, Huang, Pengbo, Zhang, Shunqing, Chen, Xiaojing, Sun, Yanzan, Wang, Xin
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916254308106240
author Yu, Tao
Huang, Pengbo
Zhang, Shunqing
Chen, Xiaojing
Sun, Yanzan
Wang, Xin
author_facet Yu, Tao
Huang, Pengbo
Zhang, Shunqing
Chen, Xiaojing
Sun, Yanzan
Wang, Xin
contents In order to provide design guidelines for energy efficient 6G networks, we propose a novel radial basis function (RBF) based optimization framework to maximize the integrated relative energy efficiency (IREE) metric. Different from the conventional energy efficient optimization schemes, we maximize the transformed utility for any given IREE using spectrum efficiency oriented RBF network and gradually update the IREE metric using proposed Dinkelbach's algorithm. The existence and uniqueness properties of RBF networks are provided, and the convergence conditions of the entire framework are discussed as well. Through some numerical experiments, we show that the proposed IREE outperforms many existing SE or EE oriented designs and find a new Jensen-Shannon (JS) divergence constrained region, which behaves differently from the conventional EE-SE region. Meanwhile, by studying IREE-SE trade-offs under different traffic requirements, we suggest that network operators shall spend more efforts to balance the distributions of traffic demands and network capacities in order to improve the IREE performance, especially when the spatial variations of the traffic distribution are significant.
format Preprint
id arxiv_https___arxiv_org_abs_2405_12664
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle IREE Oriented Green 6G Networks: A Radial Basis Function Based Approach
Yu, Tao
Huang, Pengbo
Zhang, Shunqing
Chen, Xiaojing
Sun, Yanzan
Wang, Xin
Networking and Internet Architecture
In order to provide design guidelines for energy efficient 6G networks, we propose a novel radial basis function (RBF) based optimization framework to maximize the integrated relative energy efficiency (IREE) metric. Different from the conventional energy efficient optimization schemes, we maximize the transformed utility for any given IREE using spectrum efficiency oriented RBF network and gradually update the IREE metric using proposed Dinkelbach's algorithm. The existence and uniqueness properties of RBF networks are provided, and the convergence conditions of the entire framework are discussed as well. Through some numerical experiments, we show that the proposed IREE outperforms many existing SE or EE oriented designs and find a new Jensen-Shannon (JS) divergence constrained region, which behaves differently from the conventional EE-SE region. Meanwhile, by studying IREE-SE trade-offs under different traffic requirements, we suggest that network operators shall spend more efforts to balance the distributions of traffic demands and network capacities in order to improve the IREE performance, especially when the spatial variations of the traffic distribution are significant.
title IREE Oriented Green 6G Networks: A Radial Basis Function Based Approach
topic Networking and Internet Architecture
url https://arxiv.org/abs/2405.12664