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We consider online power control for an energy<lb>harvesting system with random i.i.d. energy arrivals and a finite<lb>size battery. We propose a simple online power control policy<lb>for this channel that requires minimal information regarding<lb>the distribution of the energy arrivals and prove that it is<lb>universally near-optimal for all parameter(More)
We consider communication over the AWGN channel with a transmitter whose battery is recharged with RF energy transfer at random times known to the receiver. We assume that the recharging process is i.i.d. Bernoulli. We characterize the capacity of this channel as the limit of an n-letter maximum mutual information rate under both causal and noncausal(More)
We consider an energy harvesting channel, in which the transmitter is powered by an exogenous stochastic energy harvesting process E<sub>t</sub>, such that 0 &#x2264; E<sub>t</sub> &#x2264; E&#x0305;, which can be stored in a battery of finite size B&#x0305;. We provide a simple and insightful formula for the approximate capacity of this channel with(More)
We investigate if feedback can increase the capacity of an energy harvesting communication channel where a transmitter powered by an exogenous energy arrival process and equipped with a finite battery communicates to a receiver over a memoryless channel. For a simple special case where the energy arrival process is deterministic and the channel is a BEC, we(More)
We consider an energy harvesting multiple access channel where the transmitters are powered by an exogenous stochastic energy harvesting process and equipped with finite batteries. We characterize the capacity region of this channel as n-letter mutual information rate and develop inner and outer bounds that differ by a constant gap. An interesting(More)
This paper studies the multiple-access channel (MAC) with rate-limited feedback. The channel output is encoded into one stream of bits, which is provided causally to the two users at the channel input. An achievable rate region for this setup is derived, based on superposition of information, block Markov coding, and coding with various degrees of side(More)
This work studies the problem of online power control for energy harvesting systems with random energy arrivals and a finite battery. The stochastic model for the energy arrivals is block i.i.d., in which the energy arrivals are constant for a fixed duration, but can change independently between different blocks. We propose a simple online power control(More)
Motivated by the recent developments in wireless power transfer, we study communication with a remotely powered transmitter. We propose an information-theoretic model where a charger can dynamically decide on how much power to transfer to the transmitter based on its side information regarding the communication, while the transmitter needs to dynamically(More)