Efficient energy allocation in wireless sensor networks based on non-cooperative game over Gaussian fading channel

Rahman, Suryaia; Rashid, Md. Mamunur; Alam, Zahangir

doi:10.1109/icaee48663.2019.8975691

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…Hamidi et al [14] propose a distributed power allocation mechanism using a non-cooperative game model. Rahman et al [15] solve the energy optimization by using non-cooperative game for an arbitrary Gaussian channel. In [16][17][18][19][20][21][22][23], non-cooperative game can effectively allocate system resources in hierarchical networks.…”

Section: Related Workmentioning

confidence: 99%

A hierarchical game-based power allocation algorithm in 5G heterogeneous integrated networks

Chen

Zeng

et al. 2020

J Wireless Com Network

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In this paper, we proposed a novel power allocation algorithm based on hierarchical game in 5G heterogeneous integrated networks. The radio network controller is the first layer, the base stations are the second layer, and the base station users are the third layer. The stackelberg game model is used between the first and second layers, in which the radio network controller is the leader and the base stations are the followers. The radio network controller sets the interference prices for the base stations and the users in the third layer can update their transmission power by non-cooperative game based on the setting interference price. According to the proposed scheme, the users power allocation can reach the Nash equilibrium through by non-cooperative game and obtain the optimal transmission power. Moreover, it is proved that the equilibrium solution is composed of the optimal price and the optimal transmission power, and the convergence of this algorithm is also verified. The simulation results show that the proposed algorithm can decrease the interference and improve the system capacity.

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