Optimal Scheduling in Wirelessly-powered Communication Networks

Movahednasab, Mohammad | 2021

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 55678 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Pakravan, Mohammad Reza
  7. Abstract:
  8. In this thesis, we study optimal scheduling in a multi-hop wirelessly-powered network. We propose an online control policy for energy transfer from the energy access point to the wireless nodes and for data transfer among the nodes. With our proposed control policy, all data queues of the nodes are stable, while the average energy consumption of the network is shown to be within a bounded gap of the minimum energy required for stabilizing the network. Our proposed policy is designed using a quadratic Lyapunov function to capture the limitations on the energy consumption of the nodes imposed by their bachery levels. We show that under the proposed control policy, the bachlog level in the data queues and the stored energy level in the bacheries fluctuate in small intervals around some constant levels.Consequently, by imposing a negligible average data drop rate, the data buffer size and the bachery capacity of the nodes can be significantly reduced. Furthermore, we study optimal scheduling in a bachscachering network. We propose an online data link control policy for jointly controlling the transmit and receive beamforming vectors as well as data admission in buffer-equipped nodes. The controller algorithm is designed to optimize different throughput utilities including the sum, the proportional and the common throughput. We adopt the Lyapunov method in designing the control policies.Following the Lyapunov method, we cast the optimal data link control and the data admission policies as solutions of two independent optimization problems which should be solved in each time slot. The optimization problem corresponding to the data link control is non-convex and does not have a trivial solution.Using Lagrangian dual and quadratic transforms, we find a closed-form iterative solution
  9. Keywords:
  10. Stochastic Optimization ; Beamforming ; Lyapunov Function ; Backscattering ; Wireless Powered Communication Networks ; Cooperation between Nodes ; Optimal Scheduling

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