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Joint Uplink and Downlink Resource Allocation in Data and Energy Integrated Communication Networks

  • Yu, Qin (School of Communication and Information Engineering, University of Electronic Science and Technology of China) ;
  • Lv, Kesi (School of Communication and Information Engineering, University of Electronic Science and Technology of China) ;
  • Hu, Jie (School of Communication and Information Engineering, University of Electronic Science and Technology of China) ;
  • Yang, Kun (School of Computer Science and Electronic Engineering, University of Essex) ;
  • Hong, Xuemin (School of Information Science and Engineering, Xiamen University)
  • Received : 2016.09.11
  • Accepted : 2017.03.18
  • Published : 2017.06.30

Abstract

In this paper, we propose a joint power control strategy for both the uplink and downlink transmission by considering the energy requirements of the user equipments' uplink data transmissions in data and energy integrated communication networks (DEINs). In DEINs, the base station (BS) adopts the power splitting (PS) aided simultaneous wireless information and power transfer (SWIPT) technique in the downlink (DL) transmissions, while the user equipments (UEs) carry out their own uplink (UL) transmissions by exploiting the energy harvested during the BS's DL transmissions. In our DEIN model, there are M UEs served by the BS in order to fulfil both of their DL and UL transmissions. The orthogonal frequency division multiple access (OFDMA) technique is adopted for supporting the simultaneous transmissions of multiple UEs. Furthermore, a transmission frame is divided into N time slots in the medium access control (MAC) layer. The mathematical model is established for maximizing the sum-throughput of the UEs' DL transmissions and for ensuring their fairness during a single transmission frame T, respectively. In order to achieve these goals, in each transmission frame T, we optimally allocate the BS's power for each subcarrier and the PS factor for each UE during a specific time slot. The original optimisation problems are transformed into convex forms, which can be perfectly solved by convex optimisation theories. Our numerical results compare the optimal results by conceiving the objective of maximising the sum-throughput and those by conceiving the objective of maximising the fair-throughput. Furthermore, our numerical results also reveal the inherent tradeoff between the DL and the UL transmissions.

Keywords

References

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