Adaptive mesh size (AMS) algorithm for energy efficiency maximisation in underlay D2D communication

被引:1
作者
Saad, Waleed [1 ,2 ]
Refky, Hajar [3 ]
Shokair, Mona [1 ]
机构
[1] Menoufia Univ, Fac Elect Engn, Elect & Elect Commun Dept, Al Minufya, Egypt
[2] Shaqra Univ, Coll Engn, Elect Engn Dept, Dawadmi, Ar Riyadh, Saudi Arabia
[3] Delta Higher Inst Engn & Technol, Mansoura, Egypt
关键词
cellular radio; stochastic processes; probability; radio spectrum management; telecommunication power management; optimisation; energy conservation; adaptive mesh size algorithm; AMS; energy efficiency maximisation; underlay D2D communication; device-to-device communication; urgent necessity; fifth-generation wireless networks; power allocation problem; cellular system underlaid; DUs; random distribution; cellular users; CUs; homogeneous Poisson point process; stochastic geometry; successful transmission probabilities; optimal power values; EE optimisation problem; TO-DEVICE COMMUNICATIONS; CELLULAR NETWORKS CHALLENGES; RESOURCE-ALLOCATION; CHANNEL ALLOCATION; POWER-CONTROL; MAC PROTOCOL;
D O I
10.1049/iet-com.2019.1014
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The need to maximise energy efficiency (EE) for device-to-device (D2D) communication has become an urgent necessity for the fifth-generation wireless networks. In this study, the power allocation problem is considered for the cellular system underlaid with D2D users (DUs) to maximise the EE for the whole network. Firstly, the random distribution of DUs and cellular users (CUs) are described by utilising the homogeneous Poisson point process based on stochastic geometry. Secondly, successful transmission probabilities are deduced. Finally, the optimisation problem for maximising EE is formulated to determine the optimal power values for both D2D and CUs. An adaptive mesh size algorithm is suggested to solve the non-convexity of the EE optimisation problem. Simulation results prove that the suggested technique has the ability to accomplish the near-optimal EE. Furthermore, it has superior performance when compared with the related algorithms.
引用
收藏
页码:1311 / 1317
页数:7
相关论文
共 28 条
  • [1] Baccelli F., 2009, STOCHASTIC GEOMETRY
  • [3] Green Cooperative Device-to-Device Communication: A Social-Aware Perspective
    Datsika, Eftychia
    Antonopoulos, Angelos
    Zorba, Nizar
    Verikoukis, Christos
    [J]. IEEE ACCESS, 2016, 4 : 3697 - 3707
  • [4] Mode Switching for Energy-Efficient Device-to-Device Communications in Cellular Networks
    Feng, Daquan
    Yu, Guanding
    Xiong, Cong
    Yi Yuan-Wu
    Li, Geoffrey Ye
    Feng, Gang
    Li, Shaoqian
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (12) : 6993 - 7003
  • [5] Haenggi M., 2012, Stochastic Geometry for Wireless Networks
  • [6] An Efficient Proposed MAC Protocol for M2M Networks
    Hegazy, Eman
    Saad, Waleed
    Shokair, Mona
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2017, 96 (02) : 2253 - 2269
  • [7] Hemachandra K., 2018, 2018 IEEE WIR COMM N, DOI [10.1109/wcnc.2018.8377220, DOI 10.1109/WCNC.2018.8377220]
  • [8] Energy Efficient Power and Channel Allocation in Underlay Device to Multi Device Communications
    Hmila, Mariem
    Fernandez-Veiga, Manuel
    Rodriguez-Perez, Miguel
    Herreria-Alonso, Sergio
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (08) : 5817 - 5832
  • [9] Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications
    Jiang, Yanxiang
    Liu, Qiang
    Zheng, Fuchun
    Gao, Xiqi
    You, Xiaohu
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (08) : 6119 - 6127
  • [10] Energy-Efficient Transmit Power Control for Multi-tier MIMO HetNets
    Kwon, Younggap
    Hwang, Taewon
    Wang, Xudong
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2015, 33 (10) : 2070 - 2086