Multi-pair and multi-way communications using energy harvesting nodes

Varan, Burak; Yener, Aylin

doi:10.1109/acssc.2013.6810353

Cited by 2 publications

(1 citation statement)

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“…References [3] and [4] derive waterfilling interpretations to the optimal transmission policies for the fading channel and the interference channel. Multi terminal networks including the two-hop network, the multiple access channel, and the two-way and multi-way relay channels are studied in [5]- [9]. Reference [10] proposes a framework for throughput maximization in a wireless network with energy harvesting transmitters and receivers, and energy storage limitations, by decoupling the throughput maximization problem into energy efficiency and energy harvesting adaptation problems.…”

Section: Introductionmentioning

confidence: 99%

Energy harvesting two-way communications with limited energy and data storage

Varan

Yener

2014

2014 48th Asilomar Conference on Signals, Systems and Computers

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In this paper, we study two-way communication scenarios with energy harvesting. In particular, we consider the two-way and two-way relay channels with finite data storage. We solve the throughput maximization problem with finite batteries and finite data buffers. This entails iteratively solving an energy problem, which distributes the available energy over the course of the communication session, and a data problem, which schedules how much data to send at each node over the course of the communication session. We provide a directional waterfilling interpretation to the energy problem with the addition of water pumps and overflow protection bins. The data problem turns out to be a linear program which we solve by forward induction. We provide numerical results demonstrating the impact of the battery and buffer sizes on the achieved throughput. We observe, for communication scenarios of interest, that a relatively modest size of data storage is sufficient to harness the performance benefits of data buffering, i.e., to achieve the throughput values without buffer size limitations.

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