Massive MIMO-Assisted Energy Transfer Technology

  • Zhao L
  • Zhao H
  • Zheng K
  • et al.
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Abstract

This chapter considers a downlink massive MIMO system, where the base station simultaneously sends information and energy to information users and energy users, respectively. The aim is to maximize the minimum harvested energy among the energy users while meeting the rate requirements of information users. With perfect CSI, the problem is solved by obtaining the asymptotically optimal power allocation of information users and the combination coefficients of the energy precoder. For the CSI estimation in time-division duplex systems, orthogonal pilot sequences are employed by information users during the uplink, and one common pilot sequence is shared by all energy users. It is shown that the energy harvesting performance of such a shared pilot scheme is always better than that of the orthogonal pilot scheme. Further, exploiting the inter-cell interference in multi-cell systems, a joint precoder is proposed for cooperative energy transfer, for which both the centralized and distributed implementations are given. Results indicate that the cooperative energy transfer always outperforms the non-cooperative scheme with either perfect or estimated CSI.

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APA

Zhao, L., Zhao, H., Zheng, K., & Xiang, W. (2018). Massive MIMO-Assisted Energy Transfer Technology (pp. 57–90). https://doi.org/10.1007/978-3-319-68409-3_4

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