Energy efficiency-based cell switch on-off strategy under heterogeneous services

被引:0
|
作者
Information Network Engineering and Research Center, South China University of Technology, Guangzhou [1 ]
Guangdong
510640, China
不详 [2 ]
Guangdong
510630, China
不详 [3 ]
Guangdong
510640, China
不详 [4 ]
Guangdong
510081, China
机构
来源
Huanan Ligong Daxue Xuebao | / 5卷 / 30-34期
基金
中国国家自然科学基金;
关键词
Genetic algorithms - Binary sequences - Cytology - Constrained optimization - Bandwidth - Cells;
D O I
10.3969/j.issn.1000-565X.2015.05.005
中图分类号
学科分类号
摘要
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 basis of cell switch on-off. In this strategy, the demands of users are divided into constant-bit-rate (CBR) and variable-bit-rate (VBR) demands to maximize the energy efficiency under the constraint that CBR demands are fulfilled. 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 performance close to the exhaustive searching algorithm. ©, 2015, South China University of Technology. All right reserved.
引用
收藏
相关论文
共 50 条
  • [21] Efficiency-Based Energy Management Strategy of a Dual-Motor All-Wheel Drive Electric Vehicle
    Barresi, Marzio
    Colnago, Silvia
    Piegari, Luigi
    2021 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2021,
  • [22] On the Energy Efficiency of On-Off Keying Transmitters with Two Distinct Types of Batteries
    Shen, Tingting
    Wang, Tao
    Sun, Yanzan
    Wu, Yating
    Jin, Yanliang
    SENSORS, 2018, 18 (04)
  • [23] The energy efficiency of on-off keying with partial CSI and peak power constraints
    Misra, S
    Swami, A
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 797 - 800
  • [24] Blocking Evaluation for EE-OBS Networks under Heterogeneous ON-OFF Traffic
    Vallejos, R.
    Aravena, M.
    Beghelli, A.
    ONDM: 2009 INTERNATIONAL CONFERENCE ON OPTICAL NETWORK DESIGN AND MODELING, 2009, : 136 - 141
  • [25] Energy conservation improvement and ON-OFF switch times reduction for an existing VFD-fan-based cooling tower
    Chang, Chun-Cheng
    Shieh, Shyan-Shu
    Jang, Shi-Shang
    Wu, Chan-Wei
    Tsou, Ying
    APPLIED ENERGY, 2015, 154 : 491 - 499
  • [26] Interference alignment based on time pulse on-off strategy for multi-cell cellular network
    Institute of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
    J. Comput. Inf. Syst., 1 (87-95):
  • [27] Energy efficiency-based fixed-time control for nonlinear system
    Yang, Haijiao
    He, Shuping
    2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, : 4542 - 4546
  • [28] Interference Efficiency-based Base Station Selection and Power Allocation Algorithm for Multi-cell Heterogeneous Wireless Networks
    Li Guoquan
    Xu Yongjun
    Chen Qianbin
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2020, 42 (04) : 957 - 964
  • [29] Integrating Energy Efficiency-Based Prognostic Approaches into Energy Management Systems of Base Stations
    Hoang, Anh
    Do, Phuc
    Iung, Benoit
    2014 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), 2014, : 220 - 225
  • [30] Interconnection Switch On-off State Identification of Distribution Networks Based on Load Measurement
    Qiao, Boxin
    Zhang, Jianmin
    Liu, Lifeng
    Zhang, Jianguang
    Ma, Libin
    Fan, Yuquan
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 524 - 529