Abstract

Wireless energy transfer (WET) is a green enabler of low-power Internet of Things (IoT). Therein, traditional optimization schemes relying on full channel state information (CSI) are often too costly to implement due to excessive energy consumption and high processing complexity. This letter proposes a simple, yet effective, energy beamforming scheme that allows a multi-antenna power beacon (PB) to fairly power a set of IoT devices by only relying on the first-order statistics of the channels. In addition to low complexity, the proposed scheme performs favorably as compared to benchmarking schemes and its performance improves as the number of PB’s antennas increases. Finally, it is shown that further performance improvement can be achieved through proper angular rotations of the PB.

Highlights

  • Wireless energy transfer (WET) technology is widely recognized as a green enabler of low-power Internet of Things (IoT) since it realizes [1]: i) battery charging without physical connections, which simplifies servicing and maintenance; and ii) form factor reduction and durability increase of the end devices

  • The main contributions are three-fold: i) different from the existing works, this letter addresses the problem of powering devices with fairness while using only channels’ first-order statistics; ii) a simple, yet effective, energy beamforming (EB) scheme is proposed, which attains near-optimum performance as the channels become more deterministic; iii) it is demonstrated that the multiuser performance improves as the number of transmit antennas increases, while further performance improvement can be obtained via proper angular rotation

  • The performance results under the optimum channel state information (CSI)-based scheme and the optimum average-CSI based scheme, which were described in Section III, are used as benchmark

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Summary

A Low-Complexity Beamforming Design for Multiuser Wireless Energy Transfer

Abstract—Wireless energy transfer (WET) is a green enabler of low-power Internet of Things (IoT). Therein, traditional optimization schemes relying on full channel state information (CSI) are often too costly to implement due to excessive energy consumption and high processing complexity. This letter proposes a simple, yet effective, energy beamforming scheme that allows a multi-antenna power beacon (PB) to fairly power a set of IoT devices by only relying on the first-order statistics of the channels. In addition to low complexity, the proposed scheme performs favorably as compared to benchmarking schemes and its performance improves as the number of PB’s antennas increases.

INTRODUCTION
SYSTEM MODEL
Statistical Beamforming Design
Problem Complexity
LOW-COMPLEXITY BEAMFORMING DESIGN
Analysis under Rician Fading Channels
NUMERICAL RESULTS
Performance Comparison
CONCLUSION

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