Computer Science ›› 2019, Vol. 46 ›› Issue (8): 127-132.doi: 10.11896/j.issn.1002-137X.2019.08.021

• Network & Communication • Previous Articles     Next Articles

Utility Function Heterogeneous Network Access Algorithm Based on Green Energy Perception

FANG Xu-yuan, TIAN Hong-xin, SUN De-chun, DU Wen-cong, QI Ting   

  1. (State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China)
  • Received:2018-07-30 Online:2019-08-15 Published:2019-08-15

Abstract: In the 5G mobile communication network,a large number of communication base stations using green and grid energy mixed power supply can reduce operating costs significantly.Aiming at the problem of user access of base stations supplied by hybrid energy in heterogeneous networks,a comprehensive utility function access algorithm based on green energy perception and a green energy perception based comprehensive utility function adjustment algorithm were proposed.The user first calculates the utility value according to the green energy status of the base station,the access signal-to-noise ratio and other access selection parameters,and selects the base station with the smallest utility va-lue to access.After the user accesses the base station,the algorithm adjusts the access user through the base station to reduce the cost of energy costs.By using MATLAB platform,simulation results show that the GEPC algorithm can reduce the total energy consumption cost more effectively at low load compared to RSRP (based on user received signal power)and SINR (based on user maximum signal to interference and noise ratio) algorithm.Compared with the NEAT (Green Energy User Awareness Access) algorithm,the GEPCA algorithm significantly improves the utilization of green energy to 90% and is beneficial to heterogeneous network load balancing at high load

Key words: Energy cost, Green energy, Heterogeneous network, User access

CLC Number: 

  • TN915.6
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