Joint Transceiver Design Algorithms for Multiuser MISO Relay Systems with Energy Harvesting

Zhao, Ming-Min; Shi, Qingjiang; Champagne, Benoı̂t

doi:10.1109/tcomm.2016.2605688

Cited by 26 publications

(16 citation statements)

References 57 publications

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“…Moreover, Cai et al [226] have introduced multi-antenna aided relaying for improving the performance of integrated WET and WIT. Specifically, in order to minimise the total energy consumption of both the BS and the relay station, the classic alternating optimisation technique has been exploited for successively optimising the transceiver related parameters, including the BS's beamforming vectors, the relay station's amplify-and-forward transformation matrix and the power splitting factors at the single antenna aided receivers.…”

Section: ) Energy Consumption Minimizationmentioning

confidence: 99%

Integrated Data and Energy Communication Network: A Comprehensive Survey

Yang

Wen

et al. 2018

IEEE Commun. Surv. Tutorials

135

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In order to satisfy the power thirsty of communication devices in the imminent 5G era, wireless charging techniques have attracted much attention both from the academic and industrial communities. Although the inductive coupling and magnetic resonance based charging techniques are indeed capable of supplying energy in a wireless manner, they tend to restrict the freedom of movement. By contrast, RF signals are capable of supplying energy over distances, which are gradually inclining closer to our ultimate goal -charging anytime and anywhere. Furthermore, transmitters capable of emitting RF signals have been widely deployed, such as TV towers, cellular base stations and Wi-Fi access points. This communication infrastructure may indeed be employed also for wireless energy transfer (WET). Therefore, no extra investment in dedicated WET infrastructure is required. However, allowing RF signal based WET may impair the wireless information transfer (WIT) operating in the same spectrum. Hence, it is crucial to coordinate and balance WET and WIT for simultaneous wireless information and power transfer (SWIPT), which evolves to Integrated Data and Energy communication Networks (IDENs). To this end, a ubiquitous IDEN architecture is introduced by summarising its natural heterogeneity and by synthesising a diverse range of integrated WET and WIT scenarios. Then the inherent relationship between WET and WIT is revealed from an information theoretical perspective, which is followed by the critical appraisal of the hardware enabling techniques extracting energy from RF signals. Furthermore, the transceiver design, resource allocation and user scheduling as well as networking aspects are elaborated on. In a nutshell, this treatise can be used as a handbook for researchers and engineers, who are interested in enriching their knowledge base of IDENs and in putting this vision into practice.Index Terms-RF signals, wireless energy transfer (WET), wireless information transfer (WIT), simultaneous wireless information and power transfer (SWIPT), wireless powered communication networks (WPCNs), integrated data and energy communication networks (IDENs).an increasing research interest from both the electronic and communication engineering communities. C. Near-field Wireless Energy TransferAt the time of writing, resonant inductive coupling [35] and magnetic resonance coupling [36] emerge as flexible wireless charging options for electronic devices in the nearfield. Resonant inductive coupling based wireless charging relies on the magnetic coupling that delivers electrical energy between two coils tuned to resonate at the same frequency. This technique has already been commercialised for small electronic appliances [37], such as mobile phones, electric toothbrushes and smart watches etc. However, the coupling coils only support near-field wireless power transfer over a distance spanning from a few millimetres to a few centimetres [38], while achieving a power transfer efficiency as high as 56.7%, when operating at a frequency of 508 kHz [...

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Section: ) Energy Consumption Minimizationmentioning

confidence: 99%

Integrated Data and Energy Communication Network: A Comprehensive Survey

Yang

Wen

et al. 2018

IEEE Commun. Surv. Tutorials

135

View full text Add to dashboard Cite

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“…The authors in [38,39] consider a one-way single-antenna amplifyand-forward (AF) SWIPT relay networks, where both the TS and PS protocols are studied. The joint transceiver designs for multiuser MISO relay systems with EH is studied in [40], where the received signal is divided into two parts for ID and EH based on the PS principle. Since the two-way relaying (TWR) system can further improve the SE, many works also studied the SWIPT protocols in the TWR scenario.…”

Section: Motivation and Related Workmentioning

confidence: 99%

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Shen

Wang

2018

J Wireless Com Network

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In this paper, we consider the beam-domain hybrid time-switching (TS) and power-splitting (PS) simultaneous wireless information and power transfer (SWIPT) protocol design in full-duplex (FD) massive multiple-input multiple-output (MIMO) system, where the FD base station (BS) simultaneously serves a set of downlink half-duplex (HD) users (cellular users) and a set of fixed uplink HD users (fixed sensor nodes) which are uniformly distributed in its coverage area. In order to reduce the computational complexity, we investigate the beam-domain representation of massive MIMO channels based on the basis expansion model, and then the beam-domain SWIPT protocol which lies in intelligently scheduling the users and sensors based on the beam-domain distributions of their associated channels to mitigate SI and enhance transmission efficiency is designed for full-duplex massive MIMO system. The whole beam-domain hybrid TS and PS SWIPT protocol is divided into two phases based on the ideal of TS. The first phase is used for cellular users uplink training and sensor nodes energy harvesting as well as downlink training, wherein the cellular users transmit uplink pilots for uplink channel estimation at the BS, while the BS simultaneously transmits energy signals to the sensor nodes. Based on the idea of PS, the sensor nodes utilize the received energy signals for energy harvesting and downlink channel estimation. In the second phase, the BS forms the transmit beamformers for information transmission to the users as well as the receive beamformers for the sensors transmit their data to the BS simultaneously. By optimizing the TS ratio and transmit powers at the BS in two phases, the system achievable sum rate performance is maximized. Simulation results show the superiority of the proposed protocol on spectral efficiency compared with the existing massive MIMO SWIPT protocol.

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“…1. The authors in [13] investigate the joint transceiver design in MISO relay systems for optimized ID and EH purposes. The authors in [14] consider power splitting structure in MISO systems, where the optimal beamforming design is investigated.…”

Section: Introductionmentioning

confidence: 99%

“…Generate N Gaussian randomizations with distribution λ i ∼ CN (λ * , Λ * ), ∀i ∈ {1, ..., N }, 8: Force λ i to be in [a (l) − ǫ (l) , a (l) + ǫ (l) ], 9: j = 1, Calculate E ′ j from (7). 13: j = j + 1.…”

mentioning

confidence: 99%

Optimal Power Splitting for Simultaneous Information Detection and Energy Harvesting

Kariminezhad

Gherekhloo

Sezgin

2017

IEEE Signal Process. Lett.

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This letter deals with the joint information and energy processing at a receiver of a point-to-point communication channel. In particular, the trade-off between the achievable information rate and harvested energy for a multiple-antenna power splitting (PS) receiver is investigated. Here, the rateenergy region characterization is of particular interest, which is intrinsically a non-convex problem. In this letter, an efficient algorithm is proposed for obtaining an approximate solution to the problem in polynomial time. This algorithm is mainly based on the Taylor approximation in conjunction with semidefinite relaxation (SDR) which is solved by interior-point methods. Moreover, we utilize the Gaussian randomization procedure to obtain a feasible solution for the original problem. It is shown that by proper receiver design the rate-energy region can be significantly enlarged compared to the state of the art, while at the same time the receiver hardware costs is reduced by utilizing less number of energy harvesting circuitry.

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Joint Transceiver Design Algorithms for Multiuser MISO Relay Systems with Energy Harvesting

Cited by 26 publications

References 57 publications

Integrated Data and Energy Communication Network: A Comprehensive Survey

Integrated Data and Energy Communication Network: A Comprehensive Survey

Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Optimal Power Splitting for Simultaneous Information Detection and Energy Harvesting

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