Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication

• DOI: 10.48550/arxiv.1405.1156
• Publication Date: 2014-01-01
• Authors: Yishun Dong; Farzan Farnia; Ayfer Özgür
• Keywords: FOS: Computer and information sciences; 0508 media and communications; Computer Science - Information Theory; Information Theory (cs.IT); 05 social sciences; 7. Clean energy

We consider an energy-harvesting communication system where a transmitter powered by exogenous energy arrival process and equipped with finite battery of size $B_{max}$ communicates over discrete-time AWGN channel. first concentrate on simple Bernoulli at each time step, either packet $E$ is harvested probability $p$, or no all, independent the other steps. provide near optimal control policy approximation to information-theoretic capacity this Our approximations for both problems are universal in all parameters involved ($p$, $B_{max}$), i.e. we bound gaps constant parameter values. results suggest that $B_{max}\geq E$ (approximately) sufficient extract infinite then extend our general i.i.d. processes. approximate characterizations important insights design harvesting systems regime average rate large.