Belief Propagation for Energy Efficiency Maximization in Wireless Heterogeneous Networks
- Authors
- Lee, Sang Hyun; Kim, Mintae; Shin, Hunmin; Lee, Inkyu
- Issue Date
- 1월-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Energy-efficiency maximization; belief propagation; wireless heterogeneous networks
- Citation
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.20, no.1, pp.56 - 68
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Volume
- 20
- Number
- 1
- Start Page
- 56
- End Page
- 68
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/50238
- DOI
- 10.1109/TWC.2020.3023079
- ISSN
- 1536-1276
- Abstract
- 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.
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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