Computer Science – Information Theory
Scientific paper
2011-05-25
Computer Science
Information Theory
submitted for publication; conference version published in IEEE Globecom2011
Scientific paper
Wireless energy transfer (WET) is a promising technology to provide virtually perpetual energy supplies to wireless networks. Generally speaking, WET is implementable by either the "near-field" electromagnetic (EM) induction or the "far-field" EM radiation, for short and long range applications, respectively. In this paper, the latter case in the particular form of radio signal enabled wireless power transmission is addressed. Since radio signals carry energy as well as information at the same time, a unified study on simultaneous wireless information and energy transfer is pursued. In particular, this paper studies a multiple-input multiple-output (MIMO) wireless broadcast system consisting of three nodes, in which one receiver harvests energy and another receiver decodes information separately from the signals sent by a common transmitter. Two scenarios are examined, in which the information receiver and energy receiver are separated and see different MIMO channels from the transmitter, or co-located and see the identical MIMO channel from the transmitter. For the case of separated receivers, we derive the optimal transmission strategy to achieve different tradeoffs for maximal information rate versus energy transfer, which are characterized by the boundary of a so-called rate-energy (R-E) region. For the case of co-located receivers, we show an outer bound for the achievable R-E region due to the potential limitation that practical energy harvesting receivers are not yet able to decode the information at the same time. Under this constraint, we investigate two practical designs for the co-located receivers, namely, time switching and power splitting, and characterize their achievable R-E regions in comparison to the derived outer bound.
Ho Chin Keong
Zhang Rui
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