基于混合供能和能量协作的异构网络能量效率优化算法

doi:10.11959/j.issn.1000-436x.2022042

Abstract

Abstract:

To reduce the base station energy consumption and co-channel interference in heterogeneous cellular networks, a joint optimization algorithm combined with energy harvesting and energy cooperation was proposed with the objective of energy efficiency optimization.First, a mixed-integer nonlinear programming problem for joint resource allocation was constructed considering the constraints of user service quality, the constraints of cellular base station power, and the constraints of renewable energy harvesting.Second, considering that the problem was an NP-hard problem which was difficult to solve directly, the complex original problem was decomposed into three subproblems, such as user association, power allocation, and energy cooperation, with the fixed-variable method, which were solved by using the Lagrangian pairwise method, particle swarm optimization algorithm, and matching theory, respectively.Finally, the final solution of the original problem was obtained by combining the above three algorithms through convergent iterative algorithms.The simulation results show that the proposed algorithm has improved convergence and system energy efficiency compared with the comparison algorithm.

Key words: heterogeneous network, energy efficiency, Lagrangian duality, matching theory, particle swarm optimization algorithm

CLC Number:

TN929.5

Yang CAO, Ye ZHONG, Chunling PENG, Xiaofeng PENG. Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation[J]. Journal on Communications, 2022, 43(3): 135-147.

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References 18

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参数	数值
小区半径/m	100
噪声/(dBm·Hz^-1)	-174
带宽/MHz	10
宏基站路径损失	128.1+37.6lgd
小基站路径损失	140.7+36.7lgd
宏基站最大发射功率/dBm	33
小基站最大发射功率/dBm	30
电路功耗/W	10
功率放大系数ζ	138%
基站的能量传输效率α	0.7~0.9
能量收集/dBm	30~40
粒子群规模	40
最大迭代次数T_out	100
惯性权重ω	ω_min=0.3,ω_max=0.7
学习因子	c ₁=2,c₂=0.5

算法	用户关联	功率分配	能量协作
JUPE	算法1	算法2	算法3
UPE-DES	算法1	算法2	DES
UPE-SPSO	贪婪算法	SPSO	DES
UPE-LDPSO	算法1	LDPSO	DES
UPE-NLPSO	算法1	NLPSO	DES
UPE-FTPA	贪婪算法	FTPA	DES
UPE-EP	贪婪算法	EP	—

Energy efficiency optimization algorithm of heterogeneous networks based on hybrid energy supply and energy cooperation

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