Power Allocation Strategies in Energy Harvesting Wireless Cooperative Networks

By Zhiguo Ding, Samir Medina Perlaza, Inaki Esnaola, H. Vincent Poor. IEEE Transactions on Wireless Communications, 2013

553 citations recorded by the source corpus.

In this paper, a wireless cooperative network is considered, in which multiple source-destination pairs communicate with each other via an energy harvesting relay. The focus of this paper is on the relay's strategies to distribute the harvested energy among the multiple users and their impact on the system performance. Specifically, a non-cooperative strategy that uses the energy harvested from the i-th source as the relay transmission power to the i-th destination is considered first, and asymptotic results show that its outage performance decays as log SNR/SNR. A faster decay rate, 1/SNR, can be achieved by two centralized strategies proposed next, of which a water filling based one can achieve optimal performance with respect to several criteria, at the price of high complexity. An auction based power allocation scheme is also proposed to achieve a better tradeoff between system performance and complexity. Simulation results are provided to confirm the accuracy of the developed analytical results.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3691505ed1d8bf9aa5a1cc3989b23910062b0511

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Citations in the corpus

Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “In [132], relay transmission strategies are proposed for one-way relay networks, wherein multiple source nodes communicate with their respective destination nodes via a RF energy harvesting relay.”
Wireless Information and Power Transfer With Full Duplex Relaying (2014, methodology): “The throughput of decode-and-forward relaying syste ms was investigated in [15], while the power allocation strate gies for DF relaying system with multiple source-destination pa irs was studied in [16].”
Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications (2014, background): “, [15], [18]) that focused on the WET and WIT in the same direction, we consider the scenario with WET in the DL and WIT in the UL1.”
A Survey of Network Lifetime Maximization Techniques in Wireless Sensor Networks (2017, methodology): “Therefore, power allocation strategies using energy harvesting sensors can be studied [164]–[168] in order to extend the NL. Assuming that each sensor has a limited battery capacity, using an external energy source from nature can help in prolonging the NL.”
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “In [131] and [132] a relay-assisted network is considered, wherein the relay is powered by drawing power from the received signals.”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “In [212], the authors investigate the power allocation problem in a DF cooperative network with multiple source-destination pairs and”
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, background): “information and power transfer (SWIPT), a new member of the energy harvesting family [104]–[106], to NOMA can be”
Application of smart antenna technologies in simultaneous wireless information and power transfer (2014, methodology): “For example, in a network with multiple user pairs and an EH relay, advanced power allocation strategies, such as water filling based and auction based approaches, can be used to ensure that the outage probability decays at the faster rate of 1/SNR [12].”
Wireless Information and Power Transfer in Cooperative Networks With Spatially Random Relays (2014, background): “Firstly we focus on cooperative networks with one source-destination pair and multiple energy harvesting relays, and the impact of SWIPT on the reception reliability is studied by taking the spatial randomness of the relay locations into consideration, unlike existing works in [4] and [9] which trea”