Literature DB >> 33060861

Energy-Efficient SWIPT-Empowered D2D Mode Selection.

Jun Huang1, Jingjing Cui2, Cong-Cong Xing3, Hamid Gharavi4.   

Abstract

While mode selection has been envisioned as the most cost-effective way to address the interference issue in Device-to-Device (D2D) communications, existing works have been largely conducted without consideration of the energy depletion of devices. In this paper we investigate simultaneous wireless information and power transfer (SWIPT) empowered mode selection based on stochastic geometry. As a mean of solving it, system energy efficiency is formulated by determining the closed-form ergodic energy-harvested and ergodic capacity of D2D and cellular users in reuse, dedicated, and cellular communication modes with the time switching and power splitting architectures of SWIPT. We then leverage the derived results, along with the energy efficiency to design an energy-efficient mode selection mechanism. Our simulation results show that the developed mechanism is able to select the best mode for D2D communication with better energy efficiency, especially in an ultra-dense cellular network as compared with a state-of-the-art mode selection approach.

Entities:  

Keywords:  energy efficiency; mode selection; power splitting; simultaneous wireless information and power transfer; time switching

Year:  2018        PMID: 33060861      PMCID: PMC7552821     

Source DB:  PubMed          Journal:  IEEE Trans Veh Technol        ISSN: 0018-9545            Impact factor:   5.978


  1 in total

1.  Wireless Power Transfer and Energy Harvesting: Current Status and Future Prospects.

Authors:  Jun Huang; Yide Zhou; Zhaolong Ning; Hamid Gharavi
Journal:  IEEE Wirel Commun       Date:  2019       Impact factor: 11.979

  1 in total
  2 in total

1.  Energy-Efficient Optimization for Energy-Harvesting-Enabled mmWave-UAV Heterogeneous Networks.

Authors:  Jinxi Zhang; Gang Chuai; Weidong Gao
Journal:  Entropy (Basel)       Date:  2022-02-20       Impact factor: 2.524

2.  Optimization of Ultra-Dense Wireless Powered Networks.

Authors:  Panagiotis D Diamantoulakis; Vasilis K Papanikolaou; George K Karagiannidis
Journal:  Sensors (Basel)       Date:  2021-03-30       Impact factor: 3.576

  2 in total

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