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.
Original language | English |
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Article number | 9199557 |
Pages (from-to) | 56-68 |
Number of pages | 13 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 20 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2021 Jan |
Keywords
- Energy-efficiency maximization
- belief propagation
- wireless heterogeneous networks
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics