Multi-user scheduling schemes for simultaneous wireless information and power transfer

Morsi, Rania; Michalopoulos, Diomidis S.; Schober, Robert

doi:10.1109/icc.2014.6884112

Cited by 12 publications

(17 citation statements)

References 15 publications

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“…These works have shown that the energy efficiency can be improved by employing SWIPT in the considered communication systems. In more recent works, [27,43], the authors proposed multiuser scheduling schemes, which exploit multiuser diversity for improving the system performance of multiuser SWIPT systems. Besides, SWIPT has also been considered in cooperative system scenarios [39,44], where the performance of SWIPT systems is analysed by considering different relaying protocols.…”

Section: Simultaneous Wireless Information and Powermentioning

confidence: 99%

Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems

et al. 2015

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Simultaneous wireless information and power transfer (SWIPT) is a promising solution for enabling long-life, and self-sustainable wireless networks. In this thesis, we propose a practical non-linear energy harvesting (EH) model and design a resource allocation algorithm for SWIPT systems. In particular, the algorithm design is formulated as a non-convex optimization problem for the maximization of the total harvested power at the EH receivers subject to quality of service (QoS) constraints for the information decoding (ID) receivers. To circumvent the non-convexity of the problem, we transform the corresponding non-convex sum-of-ratios objective function into an equivalent objective function in parametric subtractive form. Furthermore, we design a computationally efficient iterative resource allocation algorithm to obtain the globally optimal solution.Numerical results illustrate significant performance gain in terms of average total harvested power for the proposed non-linear EH receiver model, when compared to the traditional linear model.

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Section: Simultaneous Wireless Information and Powermentioning

confidence: 99%

Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems

et al. 2015

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“…Techniques that use of conventional Wi-Fi APs at home or public areas as the RF energy transmitter have been proposed [3,4], but they provide insufficient level of harvestable power for most wearable devices. Several studies have been proposed to optimize beamforming vectors and power configurations [6,7,9]. However, they do not take a commercial Off-The-Shelf (COTS) AP into account.…”

Section: Related Workmentioning

confidence: 99%

Empirical validation of energy-neutral operation on wearable devices by MISO beamforming of IEEE 802.11ac

Shih

Chou

Chen

2014

Proceedings of the 2nd International Workshop on Energy Neutral Sensing Systems

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We propose an approach to energy-neutral operation by Wi-Fi beamforming for wearable devices to achieve energyneutral operation. We take advantage of the transmit beamforming feature of IEEE 802.11ac's multiple input, single output (MISO) structure to focus the transmit power to improve the transmission distance and the harvested power level. To analyze the WiFi power distribution, we design the system model of an AP's beamforming. To empirically validate our system model, we measure the wireless power of an AP in a variety of distances. Experimental results show that wearable devices with proper sampling rates can achieve an energy-neutral operation.

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“…Nevertheless, multiuser scheduling, which exploits multiuser diversity for improving the system performance of multiuser systems, has not been considered in [2]- [23]. Recently, simple suboptimal order-based schemes were proposed to balance the tradeoff between the users' ergodic achievable rates and their average amounts of harvested energy in [26]. However, the scheduling schemes proposed in [26] are unable to guarantee quality of service (QoS) with respect to the minimum energy transfer.…”

Section: A Dps Information Receivermentioning

confidence: 99%

Optimal multiuser scheduling schemes for simultaneous wireless information and power transfer

Maryna

Morsi

et al. 2015

2015 23rd European Signal Processing Conference (EUSIPCO)

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In this paper, we study the downlink multiuser scheduling problem for systems with simultaneous wireless information and power transfer (SWIPT). We design optimal scheduling algorithms that maximize the long-term average system throughput under different fairness requirements, such as proportional fairness and equal throughput fairness. In particular, the algorithm designs are formulated as non-convex optimization problems which take into account the minimum required average sum harvested energy in the system. The problems are solved by using convex optimization techniques and the proposed optimization framework reveals the tradeoff between the long-term average system throughput and the sum harvested energy in multiuser systems with fairness constraints. Simulation results demonstrate that substantial performance gains can be achieved by the proposed optimization framework compared to existing suboptimal scheduling algorithms from the literature.

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Multi-user scheduling schemes for simultaneous wireless information and power transfer

Cited by 12 publications

References 15 publications

Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems

Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems

Empirical validation of energy-neutral operation on wearable devices by MISO beamforming of IEEE 802.11ac

Optimal multiuser scheduling schemes for simultaneous wireless information and power transfer

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