MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

By Rui Zhang, Chin Keong Ho. IEEE Transactions on Wireless Communications, 2011

2,748 citations recorded by the source corpus.

Wireless power transfer (WPT) is a promising new solution to provide convenient and perpetual energy supplies to wireless networks. In practice, WPT is implementable by various technologies such as inductive coupling, magnetic resonate coupling, and electromagnetic (EM) radiation, for short-/mid-/long-range applications, respectively. In this paper, we consider the EM or radio signal enabled WPT in particular. Since radio signals can carry energy as well as information at the same time, a unified study on simultaneous wireless information and power transfer (SWIPT) is pursued. Specifically, this paper studies a multiple-input multiple-output (MIMO) wireless broadcast system consisting of three nodes, where one receiver harvests energy and another receiver decodes information separately from the signals sent by a common transmitter, and all the transmitter and receivers may be equipped with multiple antennas. 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 information directly. Under this constraint, we investigate two practical designs for the co-located receiver case, namely time switching and power splitting, and characterize their achievable R-E regions in comparison to the outer bound.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5b32334e574882a62c9c209987d2cbf524917ee8

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In Aerospace Engineering

  1. Rui Zhang
  2. Qingqing Wu
  3. Robert Schober
  4. Changsheng You
  5. Yong Zeng
  6. Jie Xu
  7. Yuanwei Liu
  8. Derrick Wing Kwan Ng

In Electrical and Electronic Engineering

  1. Rui Zhang
  2. Robert Schober
  3. H. Vincent Poor
  4. Zhiguo Ding
  5. Yuanwei Liu
  6. Yong Zeng
  7. Qingqing Wu
  8. M. Di Renzo

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