认知小蜂窝网络中基于能效的下行资源分配算法

doi:10.11959/j.issn.1000-436x.2016079

Abstract

Abstract:

Joint downlink spectrum resource block(SRB) and power allocation was studied based on OFDMA n cog-nitive small cell networks.In a distributed framework, small cell base stations (SCBS) could share free spectrum re-sources with open access to maximize their energy efficiency (EE) respectively. The competition among SCBS made the dynamic resources allocation problem be modeled as a non-cooperative game. It was non-convex optimal to op-timize the EE in a fractional form under multiple interference constraints. The maximization problem was transmitted into an equivalent problem in subtractive form which could be solved from the sequential and parallel iteration points of view. After obtaining the SRB allocation strategies, the master game could be re-modeled as equivalent sub-games for solving the transmission power more easily. Simulation results show the proposed algorithm can converge to a Nash equilibrium and effectively improve system resources utilization and EE in interference-limited communication environments.

Key words: cognitive small cell networks, energy efficiency, game theory,, Nash equilibrium, spectrum allocation, power allocation

Ya-nan JIA,Dian-wu YUE. Energy efficiency-based downlink resource allocation in cognitive small cell networks[J]. Journal on Communications, 2016, 37(4): 116-127.

Figures/Tables 10

仿真对象	参数设置
SCBS数量L	9,36,1
CSCU数量Q_l	24~25每个SCBS
系统带宽B₀/MHz	5
SRB数量M	25
子载波数K	12
子载波带宽B/ kHz	15
带宽效率V	0.9
热噪声N_o,N_G 功率/dBm	-174+10lg(B)
阴影衰落标准差s /dB	4
记忆因子J	0.2, 0.6
单用户最大发射功率 $P_{q_{1}}^{0} / d B M$	30
SCBS的静态功率 $P_{E_{0}}^{1} / d B M$ 0	40

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