Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (5): 30-34.doi: 10.3969/j.issn.1000-565X.2015.05.005

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Energy Efficiency-Based Cell Switch On-Off Strategy Under Heterogeneous Services

Pan Wei-qiang1 Hu Shao-dong2,3 Liu Jing4   

  1. 1． Information Network Engineering and Ｒesearch Center，South China University of Technology，Guangzhou 510640，
    Guangdong，China; 2． Guangdong Ｒesearch Institute，China Telecom，Guangzhou 510630，Guangdong，China;3． School of Electronic and Information Engineering，South China University of Technology，Guangzhou 510640，Guangdong，China; 4． Guangdong Branch，China Telecom，Guangzhou 510081，Guangdong，China
  • Received:2015-03-17 Revised:2015-04-13 Online:2015-05-25 Published:2015-05-07
  • Contact: 潘伟锵(1972-)，男，博士，高级工程师，主要从事通信网络研究． E-mail:wqpan@scut.edu.cn
  • About author:潘伟锵(1972-)，男，博士，高级工程师，主要从事通信网络研究．
  • Supported by:
    Supported by the National Natural Science Foundation of China(61171083，61322108，61271209，61431005)，the Key Grant Project of Chinese Ministry of Education(313021)and the Industry-University-Ｒesearch Joint Project of Guangdong
    Province and the Ministory of Education(2012J2200005)

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Abstract: In order to improve the energy efficiency of wireless communication systems，by taking into consideration the tidal property of user demands，a strategy to improve energy efficiency for cellular system is proposed on the ba-sis of cell switch on-off． In this strategy，the demands of users are divided into constant-bit-rate (CBR) and varia-ble-bit-rate (VBR) demands to maximize the energy efficiency under the constraint that CBR demands are ful-filled． Moreover，an improved genetic algorithm (GA) is employed to solve the constrained optimization problem，and the switch on-off states of base stations are encoded with binary sequence，followed with specifically-designed selection，crossover and mutation operators． Simulated results show that the proposed GA algorithm achieves fast convergence and prevents prematurity of chromosome population; and that the proposed cell switch on-off strategy effectively improves system's energy efficiency and guarantees the demand of CBR service，so that it is of high per-formance close to the exhaustive searching algorithm．

Key words: cell switch, energy efficiency, genetic algorithms, constrained optimization

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