Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer
By Gang Yang, Chin Keong Ho, Rui Zhang, Yong Liang Guan. IEEE Journal on Selected Areas in Communications, 2014
355 citations recorded by the source corpus.
This paper studies a wireless-energy-transfer (WET) enabled massive multiple-input-multiple-output (MIMO) system (MM) consisting of a hybrid data-and-energy access point (H-AP) and multiple single-antenna users. In the WET-MM system, the H-AP is equipped with a large number M of antennas and functions like a conventional AP in receiving data from users, but additionally supplies wireless power to the users. We consider frame-based transmissions. Each frame is divided into three phases: the uplink channel estimation (CE) phase, the downlink WET phase, as well as the uplink wireless information transmission (WIT) phase. Firstly, users use a fraction of the previously harvested energy to send pilots, while the H-AP estimates the uplink channels and obtains the downlink channels by exploiting channel reciprocity. Next, the H-AP utilizes the channel estimates just obtained to transfer wireless energy to all users in the downlink via energy beamforming. Finally, the users use a portion of the harvested energy to send data to the H-AP simultaneously in the uplink (reserving some harvested energy for sending pilots in the next frame) . To optimize the throughput and ensure rate fairness, we consider the problem of maximizing the minimum rate among all users. In the large-M regime, we obtain the asymptotically optimal solutions and some interesting insights for the optimal design of WET-MM system.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/93f43c274e2c0a472db5164292be7b74f547218f
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Citations in the corpus
- Joint Active and Passive Beamforming Optimization for Intelligent Reflecting Surface Assisted SWIPT Under QoS Constraints (2019, background): “ms. Although the massive multiple-input multiple-output (MIMO) technology is able to improve the WPT efficiency considerably by leveraging the large array/beamforming gain at the WPT/SWIPT transmitter [3], [4], the required high complexity, high energy consumption, and high hardware cost are still th”
- Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications (2014, background): “A time-switching network-coded cooperative protocol was proposed, by which two source nodes can cooperatively transmit their information in two consecutive transmission blocks.”
- Communications and Signals Design for Wireless Power Transmission (2016, methodology): “For WPT systems, massive MIMO is also an appealing technique to enhance the end-to-end power transfer efficiency by deploying large antenna arrays at the ETs [155], [156], [173]–[176].”
- Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “The authors in [148] introduce a frame-based transmission protocol in a massive multi-input multi-output (MIMO) system with imperfect channel state information (CSI).”
- Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (2015, methodology): “In [281], the authors designed a frame-based transmission protocol in a massive MIMO system with imperfect channel”
- Wireless powered communication: opportunities and challenges (2014, background): “cessing complexity and cost. The property of asymptotic orthogonality of large user-to-HAP channels leads to largely simplified beamforming design, multiple access con trol and power control solutions [13]. More generally, there could be a dedicated wireless energy network consisting of multiple powe”