JOURNAL ARTICLE

Energy Efficient Power and Subchannel Allocation in Dense OFDMA Small Cell Networks

Abstract

This paper studies energy efficient power and subchannel allocation in dense small cell networks. After giving the subchannel allocation algorithm, we transform the fractional energy efficient problem into an equivalent iterative optimization problem which has a subtractive form. With the developed utility function of the equivalent problem, we introduce a non-cooperative game to optimize power allocation. The existence and uniqueness of the Nash equilibrium of the game is proved. Besides, the proposed distributed power update needs minor signalling to get the optimal solution. System-level simulation results show that the proposed scheme can quickly reach the convergence and efficiently improve the energy efficiency in small cell networks.

Keywords:
Mathematical optimization Computer science Uniqueness Nash equilibrium Convergence (economics) Efficient energy use Small cell Power (physics) Iterative method Optimization problem Throughput Energy (signal processing) Cellular network Mathematics Wireless Computer network Telecommunications Engineering

Metrics

11
Cited By
1.11
FWCI (Field Weighted Citation Impact)
9
Refs
0.82
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
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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