Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power

By Jie Xu, Rui Zhang. IEEE Journal on Selected Areas in Communications, 2012

295 citations recorded by the source corpus.

Characterizing the fundamental tradeoffs for maximizing energy efficiency (EE) versus spectrum efficiency (SE) is a key problem in wireless communication. In this paper, we address this problem for a point-to-point additive white Gaussian noise (AWGN) channel with the transmitter powered solely via energy harvesting from the environment. In addition, we assume a practical on-off transmitter model with non-ideal circuit power, i.e., when the transmitter is on, its consumed power is the sum of the transmit power and a constant circuit power. Under this setup, we study the optimal transmit power allocation to maximize the average throughput over a finite horizon, subject to the time-varying energy constraint and the non-ideal circuit power consumption. First, we consider the off-line optimization under the assumption that the energy arrival time and amount are a priori known at the transmitter. Although this problem is non-convex due to the non-ideal circuit power, we show an efficient optimal solution that in general corresponds to a two-phase transmission: the first phase with an EE-maximizing on-off power allocation, and the second phase with a SE-maximizing power allocation that is non-decreasing over time, thus revealing an interesting result that both the EE and SE optimizations are unified in an energy harvesting communication system. We then extend the optimal off-line algorithm to the case with multiple parallel AWGN channels, based on the principle of nested optimization. Finally, inspired by the off-line optimal solution, we propose a new online algorithm under the practical setup with only the past and present energy state information (ESI) known at the transmitter.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/421ca697c1cb3674c0620fc2449cdd86aabaeace

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In Aerospace Engineering

  1. Wei Li
  2. Yan Chen
  3. K. Liu
  4. Meng-Lin Ku
  5. Michele Zorzi
  6. Pulkit Grover
  7. Aylin Yener
  8. Kaibin Huang

In Electrical and Electronic Engineering

  1. Rui Zhang
  2. Kaibin Huang
  3. Aylin Yener
  4. K. Liu
  5. Michele Zorzi
  6. Wei Li
  7. Yan Chen
  8. Meng-Lin Ku

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