JOURNAL ARTICLE

Energy-efficient resource allocation in heterogeneous network with cross-tier interference constraint

Abstract

Heterogeneous network (HetNet) has been investigated as a promising technique for enhancing the coverage and reducing the transmit power consumption, which has emerged as a candidate for green communications. In this paper, the energy-efficient resource allocation problem for HetNet is formulated as a non-convex optimization problem which takes into account the minimum data rate requirement, practical power model and cross-tier interference constraint. The problem is transformed into an equivalent form which can be solved by an iterative algorithm. The dual decomposition method is utilized in each iteration to obtain the closed-form solution for the optimal power and resource block allocation. The energy efficiency of the pico base station can be maximized by the proposed algorithm, although the constraint on the cross-tier interference restricts the transmit power on each resource block to fulfill the quality of service (QoS) requirement of the macro users. Simulation results are presented to evaluate the performance of the proposed algorithm in terms of the achievable spectrum and energy efficiency under different cross-tier interference constraints.

Keywords:
Computer science Heterogeneous network Mathematical optimization Transmitter power output Quality of service Resource allocation Interference (communication) Efficient energy use Base station Iterative method Throughput Constraint (computer-aided design) Energy consumption Computer network Wireless network Algorithm Wireless Telecommunications Mathematics Transmitter Engineering

Metrics

28
Cited By
2.48
FWCI (Field Weighted Citation Impact)
13
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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