Belief Propagation for Energy Efficiency Maximization in Wireless Heterogeneous Networks

In this article, we study an energy efficient management of two-tier heterogeneous cellular networks (HetNets) which consist of one macro base station (BS) and multiple micro base stations. This article presents a distributed user association algorithm that maximizes the network-wide energy efficien...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2021-01, Vol.20 (1), p.56-68
Main Authors: Lee, Sang Hyun, Kim, Mintae, Shin, Hunmin, Lee, Inkyu
Format: Article
Language:English
Subjects:
Algorithms
Belief propagation
Cellular communication
Energy consumption
Energy efficiency
Energy-efficiency maximization
Heterogeneous networks
Load balancing
Load management
Message passing
Optimization
Radio equipment
Stress concentration
Throughput
Wireless communication
wireless heterogeneous networks
Wireless networks
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Summary:In this article, we study an energy efficient management of two-tier heterogeneous cellular networks (HetNets) which consist of one macro base station (BS) and multiple micro base stations. This article presents a distributed user association algorithm that maximizes the network-wide energy efficiency (EE) in HetNets. A subset of BSs that support only a small number of users can be turned off to save the energy consumption. By turning off BSs in the HetNet and offloading serving users to adjacent active BSs, the network-wide energy consumption is minimized, while the sum throughput is maximized. To solve the problem efficiently, we introduce a new approach based on a message-passing framework and derive a distributed load balancing algorithm. The proposed method provides a very efficient solution with reduced computational complexity compared to existing schemes. Simulation results verify that the proposed algorithm outperforms other conventional load balancing strategies.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2020.3023079