Proportional Fair Resource Allocation on an Energy Harvesting Downlink

Tekbiyik, Neyre; Girici, Tolga; Uysal-Biyikoğlu, Elif; Leblebi̇ci̇oğlu, Kemal

doi:10.1109/twc.2013.021213.120523

Cited by 40 publications

(31 citation statements)

References 35 publications

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“…The BS is equipped with a rechargeable battery, powered by a solar panel, such that harvested energy becomes available at distinct instances. The durations between two harvest instants will be called a "slot" (as in [10] ). Our system model is based on the one illustrated in Figure 2.…”

Section: System Modelmentioning

confidence: 99%

“…Our goal is to maximize a total utility, i.e., the log-sum of the user rates N n=1 log 2 (R n ), which is known to result in proportional fairness [23]. Without loss of all generality † , by using AWGN (Additive Gaussian Noise) channel capacity as a rate function to construct a biconvex problem [10], we define R n = K t=1 τ nt W log 2 1 + ptgn NoW . Thus, we obtain the constrained optimization problem, Problem 1, where (1) represents the nonnegativity constraints for t = 1, ..., K , n = 1, ..., N .…”

Section: Problem Statement and Structurementioning

confidence: 99%

“…The contribution of this paper is to combine a Kalman-filter based solar energy prediction algorithm with a proportional-fair scheduler. The proportional-fair energy harvesting resource allocation problem formulated in [10] was shown to be a biconvex problem * which is nonconvex, and has multiple optima. The optimum off-line schedule developed in [12] (which assumes that the energy arrival profile at the transmitter is deterministic and known ahead of time in an off-line manner), a Block Coordinate Descent based optimization algorithm, BCD, was shown to converge to an optimal solution for proportional fair allocation of harvested energy in a wireless downlink.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Kalman prediction based proportional fair resource allocation for a solar powered base station

Tekbiyik-Ersoy

Uysal-Biyikoğlu

Leblebi̇ci̇oğlu

et al. 2013

2013 21st Signal Processing and Communications Applications Conference (SIU)

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Optimization of a Wireless Sensor Network (WSN) downlink with an energy harvesting transmitter (base station) is considered. The base station (BS), which is attached to the central controller of the network, sends control information to the gateways of individual WSNs in the downlink. This paper specifically addresses the case where the BS is supplied with solar energy. Leveraging the daily periodicity inherent in solar energy harvesting, the schedule for delivery of maintenance messages from the BS to the nodes of a distributed network is optimized. Differences in channel gain from the BS to sensor nodes make it a challenge to provide service to each of them while efficiently spending the harvested energy. Based on PTF (Power-Time-Fair), a close-to-optimal solution for fair allocation of harvested energy in a wireless downlink proposed in previous work, we develop an online algorithm, PTF-On, that operates two algorithms in tandem: A prediction algorithm based on a Kalman filter that operates on solar irradiation measurements, and a modified version of PTF. PTF-On can predict the energy arrival profile throughout the day and schedule transmission to nodes to maximize total throughput in a proportionally fair way.

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Section: System Modelmentioning

confidence: 99%

Section: Problem Statement and Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Kalman prediction based proportional fair resource allocation for a solar powered base station

Tekbiyik-Ersoy

Uysal-Biyikoğlu

Leblebi̇ci̇oğlu

et al. 2013

2013 21st Signal Processing and Communications Applications Conference (SIU)

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“…Proportional fair scheduler (PFS) has been proposed to address this tradeoff in conventional wireless networks [11] and has been discussed in [12] for energy harvesting communications. The authors in [13] analyze the tradeoff between the users' capacity and the amount of energy transferred simultaneously in downlink.…”

Section: Introductionmentioning

confidence: 99%

On the effect of proportional fairness in energy transfer for wireless powered communication networks

Butt

Mohamed

Guizani

2015

2015 International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-Wireless powered communication network (WPCN)is an emerging area of research where energy is transferred from the access point to the mobile terminals in the downlink and information is transferred in the uplink. In the context of WPCN, we study the effects of applying different downlink/uplink scheduling schemes on the system performance in terms of achieved system throughput and fairness. In contrast to conventional wireless networks, where data scheduling determines the system sum rate and fairness behaviour, downlink energy scheduling contributes equally in WPCNs. We propose fairness based downlink energy transfer and compare different combinations of downlink and uplink scheduling schemes. Furthermore, we propose a new metric for downlink energy transfer for the special case of finite energy buffer and evaluate its effect on the achieved system throughput and fairness. Our numerical results show that a complete throughput fairness cannot be achieved as long as fairness is not employed in energy transfer in downlink regardless of the uplink scheduling scheme.

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“…In addition, other energy harvesting communication systems were also investigated [11][12][13][14][15][16][17][18][19]. Specifically, many energy harvesting communication schemes have been designed toward the goal of minimizing the transmission completion time.…”

Section: Introductionmentioning

confidence: 99%

Power allocation and transmitter switching for broadcasting with multiple energy harvesting transmitters

Chen

Zhao

et al. 2014

J Wireless Com Network

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With the advancement of battery technology, energy harvesting communication systems attracted great research attention in recent years. However, energy harvesting communication systems with multiple transmitters and multiple receivers have not been considered yet. In this paper, the problem of broadcasting in a communication system with multiple energy harvesting transmitters and multiple receivers is studied. First, regarding the transmitters as a 'whole transmitter,' the optimal total transmission power is obtained and an optimal power allocation policy is extended to our system setup, with the aim of minimizing the transmission completion time. Then, a simpler power allocation policy is developed to allocate the optimal total transmission power to the data transmissions. As transmitter switching can provide flexibility and robustness to an energy harvesting communication system, especially when a transmitter is broken or the energy harvested by a transmitter is insufficient, a transmitter switching policy is further developed to choose a suitable transmitter to work whenever necessary. The results show that the proposed power allocation policy performs close to the optimal one and outperforms some heuristic ones in terms of transmission completion time. Besides, the proposed transmitter switching policy outperforms some heuristic ones in terms of number of switches.

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Proportional Fair Resource Allocation on an Energy Harvesting Downlink

Cited by 40 publications

References 35 publications

Kalman prediction based proportional fair resource allocation for a solar powered base station

Kalman prediction based proportional fair resource allocation for a solar powered base station

On the effect of proportional fairness in energy transfer for wireless powered communication networks

Power allocation and transmitter switching for broadcasting with multiple energy harvesting transmitters

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