Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming

Chen, Xiaoming; Wang, Xiumin; Chen, Xianfu

doi:10.1109/wcl.2013.092813.130514

Cited by 245 publications

(190 citation statements)

References 17 publications

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“…In [8], the authors consider a multi-antenna system and aim at maximizing the GEE when non-linear interference cancellation techniques are used. In [9], the presence of a large number of base station antennas is also exploited to average out multi-user interference, whereas in [10] energy efficiency optimization for systems using wireless information and power transfer is performed, always considering the regime of large deployed antennas. In [11] zero-forcing is considered in the context of wireless power transfer.…”

Section: A State-of-the-artmentioning

confidence: 99%

Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks

Zappone

Björnson

Sanguinetti

et al. 2017

IEEE Trans. Signal Process.

237

228

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Abstract-The characterization of the global maximum of energy efficiency (EE) problems in wireless networks is a challenging problem due to the non-convex nature of investigated problems in interference channels. The aim of this work is to develop a new and general framework to achieve globally optimal solutions. First, the hidden monotonic structure of the most common EE maximization problems is exploited jointly with fractional programming theory to obtain globally optimal solutions with exponential complexity in the number of network links. To overcome this issue, we also propose a framework to compute suboptimal power control strategies characterized by affordable complexity. This is achieved by merging fractional programming and sequential optimization. The proposed monotonic framework is used to shed light on the ultimate performance of wireless networks in terms of EE and also to benchmark the performance of the lower-complexity framework based on sequential programming. Numerical evidence is provided to show that the sequential fractional programming framework achieves global optimality in several practical communication scenarios.

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Section: A State-of-the-artmentioning

confidence: 99%

Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks

Zappone

Björnson

Sanguinetti

et al. 2017

IEEE Trans. Signal Process.

237

228

View full text Add to dashboard Cite

show abstract

“…Furthermore, Park and Clerckx in [13] designed a beamforming-aided solution for a Kuser interference-limited system relying on multiple transmitter and receiver pairs, while Li et al in [14] considered a collaborative energy beamforming design using multiple transmitter and receiver pairs. The beneficial impact of large-scale/massive MIMOs was studied in [15]. Finally, active research also addressed a range of practical aspects, such as only having partial channel state information (CSI) relying on a realistic CSI feedback design.…”

Section: Link-level Design Aspectsmentioning

confidence: 99%

Wireless information and power transfer: from scientific hypothesis to engineering practice

2015

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Recently, there has been substantial research interest in the subject of simultaneous wireless information and power transfer (SWIPT) due to its cross-disciplinary appeal and its wide-ranging application potential, which motivates this overview. More explicitly, we provide a brief survey of the state of the art and introduce several practical transceiver architectures that may facilitate its implementation. Moreover, the most important link-level as well as system-level design aspects are elaborated on, along with a variety of potential solutions and research ideas. We envision that the dual interpretation of RF signals creates new opportunities as well as challenges requiring substantial research, innovation and engineering efforts.

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“…In [21], a MIMO wiretap channel for SWIPT was studied in order to design an optimal transmit covariance matrix for maximizing the ergodic secrecy rate. In [22,23], a MIMO system-based tradeoff between wireless energy and information transfer was investigated with a time duration divided into two times each for ID and EH. A hybrid access point broadcasting wireless energy and information to a set of distributed users was considered in [24,25], and optimal resource allocation was derived in half-and full-duplex modes.…”

Section: Introductionmentioning

confidence: 99%

Transmission Power and Antenna Allocation for Energy-Efficient RF Energy Harvesting Networks with Massive MIMO

et al. 2017

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Abstract:The optimum transmission strategy for maximizing energy efficiency (EE) of a multi-user massive multiple-input multiple-output (MIMO) system in radio frequency energy harvesting networks is investigated. We focus on dynamic time-switching (TS) antennas, to avoid the practical problems of power-splitting antennas, such as complex architectures, power loss and signal distortion when splitting the power of the received signal into power for information decoding (ID) and energy harvesting (EH). However, since a single TS antenna cannot serve ID and EH simultaneously, the MIMO system is considered in this paper. We thus formulate an EE optimization problem and propose an iterative algorithm as a tractable solution, including an antenna selection strategy to optimally switch each TS antenna between ID mode and EH mode using nonlinear fractional programming and the Lagrange dual method. Further, the problem is solved under practical constraints of maximum transmission power and outage probabilities for a minimum amount of harvested power and rate capacity for each user. Simulation results show that the proposed algorithm is more energy-efficient than that of baseline schemes, and demonstrates the trade-off between the required amount of harvested power and energy efficiency.

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Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming

Cited by 245 publications

References 17 publications

Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks

Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks

Wireless information and power transfer: from scientific hypothesis to engineering practice

Transmission Power and Antenna Allocation for Energy-Efficient RF Energy Harvesting Networks with Massive MIMO

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