• Matlab
  • Simulink
  • NS3
  • OMNET++
  • NS2

Optimal control of Energy Harvesting Communication

We consider an energy-harvesting communication system where a transmitter powered by an exogenous energy arrival process and equipped with a finite battery of size Bmax communicates over a discrete-time AWGN channel. We first concentrate on a simple Bernoulli energy arrival process where at each time step, either an energy packet of size E is harvested with probability p, or no energy is harvested at all, independent of the other time steps. We provide a near optimal energy control policy and a simple approximation to the information-theoretic capacity of this channel.

Our approximations for both problems are universal in all the system parameters involved (p, E and Bmax), i.e. we bound the approximation gaps by a constant independent of the parameter values. Our results suggest that a battery size Bmax E is (approximately) sufficient to extract the infinite battery capacity of this channel. We then extend our results to general i.i.d. energy arrival processes. Our approximate capacity characterizations provide important insights for the optimal design of energy harvesting communicationsystems in the regime where both the battery size and the average energy arrival rate are large.

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