Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks

Ding, Zhiguo; Perlaza, Samir M.; Esnaola, Iñaki; Poor, H. Vincent

doi:10.1109/twc.2013.010213.130484

Cited by 515 publications

(449 citation statements)

References 22 publications

Supporting

Mentioning

445

Contrasting

Order By: Relevance

“…In order to overcome this difficulty, two strategies have been proposed, i.e power splitting and time switching [9], [10]. The idea of SWIPT has been studied in various case studies, such as one source-destination pair [5], multiple-input multiple-output (MIMO) communications systems [11], [12], orthogonal frequency division multiple access (OFDMA) [13], and cooperative networks [14]- [16].…”

mentioning

confidence: 99%

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Diamantoulakis

Pappi

Ding

et al. 2016

IEEE Trans. Wireless Commun.

Self Cite

265

186

View full text Add to dashboard Cite

Abstract-We study a wireless-powered uplink communication system with non-orthogonal multiple access (NOMA), consisting of one base station and multiple energy harvesting users. More specifically, we focus on the individual data rate optimization and fairness improvement and we show that the formulated problems can be optimally and efficiently solved by either linear programming or convex optimization. In the provided analysis, two types of decoding order strategies are considered, namely fixed decoding order and time-sharing. Furthermore, we propose an efficient greedy algorithm, which is suitable for the practical implementation of the time-sharing strategy. Simulation results illustrate that the proposed scheme outperforms the baseline orthogonal multiple access scheme. More specifically, it is shown that NOMA offers a considerable improvement in throughput, fairness, and energy efficiency. Also, the dependence among system throughput, minimum individual data rate, and harvested energy is revealed, as well as an interesting trade-off between rates and energy efficiency. Finally, the convergence speed of the proposed greedy algorithm is evaluated, and it is shown that the required number of iterations is linear with respect to the number of users.

show abstract

mentioning

confidence: 99%

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Diamantoulakis

Pappi

Ding

et al. 2016

IEEE Trans. Wireless Commun.

Self Cite

265

186

View full text Add to dashboard Cite

show abstract

“…) , (16) where F SR (ξ s ) and F SD (ξ s ) are the cumulative distribution functions (CDFs) of RVs γ SR and γ SD , respectively.…”

Section: Rsmentioning

confidence: 99%

Interference-Assisted Wireless Energy Harvesting in Cognitive Relay Network with Multiple Primary Transceivers

Kalamkar

Banerjee

2015

2015 IEEE Global Communications Conference (GLOBECOM)

View full text Add to dashboard Cite

Abstract-We consider a spectrum sharing scenario, where a secondary network coexists with a primary network of multiple transceivers. The secondary network consists of an energyconstrained decode-and-forward secondary relay which assists the communication between a secondary transmitter and a destination in the presence of the interference from multiple primary transmitters. The secondary relay harvests energy from the received radiofrequency signals, which include the information signal from the secondary transmitter and the primary interference. The harvested energy is then used to decode the secondary information and forward it to the secondary destination. At the relay, we adopt a time switching policy due to its simplicity that switches between the energy harvesting and information decoding over time. Specifically, we derive a closed-form expression for the secondary outage probability under the primary outage constraint and the peak power constraint at both secondary transmitter and relay. In addition, we investigate the effect of the number of primary transceivers on the optimal energy harvesting duration that minimizes the secondary outage probability. By utilizing the primary interference as a useful energy source in the energy harvesting phase, the secondary network achieves a better outage performance.

show abstract

“…In [3], a decodeand-forward (DF) relaying system with co-channel interference at the relay is considered, where the energy constrained relay harvests energy from both, the received information signal and the co-channel interference signals, whereby the throughput performance of time-switching and power-splitting receivers are studied. The authors in [10] addressed several power allocation strategies where multiple source-destination pairs communicate with each other with the help of energy harvesting relay. The performance analysis of relay selection in a wireless powered cooperative relays has been studied in [11], [12].…”

Section: Introductionmentioning

confidence: 99%

The Performance of Wireless Powered MIMO Relaying With Energy Beamforming

Almradi

Hamdi

2016

IEEE Trans. Commun.

View full text Add to dashboard Cite

Abstract-This paper analyzes the performance of energyconstrained dual-hop amplify-and-forward (AF) relaying systems with multi-antenna nodes, in the presence of multiple co-channel interferers (CCI) at the destination. To maximize the overall signal-to-interference-plus-noise ratio (SINR) as well as the harvested energy so as to mitigate the severe effects of fading and enable long-distance wireless power transfer, hop-by-hop information and energy beamforming is proposed where the transmitted signal is steered along the strongest eigenmode of each hop. The wirelessly powered relay scavenge energy from the source information radio-frequency (RF) signal through energy beamforming, where both the time-switching receiver (TSR) and power-splitting receiver (PSR) are considered, then uses the harvested energy to forward the source message to the destination. To this end, tight lower and upper bound expressions for the outage probability and ergodic capacity are presented in closed-form. These are employed to investigate the throughput of the delay-constrained and delay-tolerant transmission modes. In addition, the asymptotic high signal-to-noise ratio (SNR) outage probability and ergodic capacity approximations are derived, where the achievable diversity order is also presented. Numerical results sustained by Monte Carlo simulations show the tightness of the proposed analytical expressions. The impact of various parameters such as energy harvesting time, power-splitting ratio, source transmit power and the number of antennas on the system throughput is also considered.Index Terms-MIMO relaying, half-duplex relaying, beamforming, maximum ratio transmission (MRT), maximum ratio combining (MRC), zero-forcing (ZF), wireless power transfer, energy harvesting, outage probability, ergodic capacity.

show abstract

Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks

Cited by 515 publications

References 22 publications

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Interference-Assisted Wireless Energy Harvesting in Cognitive Relay Network with Multiple Primary Transceivers

The Performance of Wireless Powered MIMO Relaying With Energy Beamforming

Contact Info

Product

Resources

About