Voluntary Cooperative Energy Harvesting Relay Nodes: Analysis and Benefits

Medepally, Bhargav; Mehta, Neelesh B.

doi:10.1109/icc.2010.5502047

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…The model considered in our paper encompasses several energy profiles assumed in literature. For example, while in [7], energy is harvested with a specific probability in every time slot, a Markov model was used in [30]. All the WRs are assumed to be equipped with a EH circuit, which converts the mmWave RF power into DC power with a conversion efficiency of ξ ≤ 1.…”

Section: A Wr Battery Modelingmentioning

confidence: 99%

“…A receiver architecture for mmWave systems was proposed in [6] for simultaneous wireless information and power transfer. EH solutions to power devices have been studied in literature for quite a while, with moderate level of practical success [7]. The recent outburst of low powered internet of things (IoT) can potentially take advantage of EH in the future.…”

Section: Introductionmentioning

confidence: 99%

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On the Performance of mmWave Networks Aided by Wirelessly Powered Relays

Biswas

Vuppala

Ratnarajah

2016

IEEE J. Sel. Top. Signal Process.

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Abstract-We investigate the energy harvesting (EH) potential of an outdoor millimeter-wave (mmWave) network aided by wirelessly powered relays (WRs). Due to the effect of propagation characteristics, such as blockages, WRs can assist the coverage in mmWave networks. In this paper, we consider the WRs to be equipped with battery units that can store ambient RF energy from the mmWave sources. The sources and the WRs are modeled as independent homogeneous Poisson point processes (PPPs). Leveraging tools from stochastic geometry, we study the EH potential of the WRs and their coverage probability based on the amount of energy that can be harvested. To successfully receive and transmit, the batteries in the WRs have to store sufficient energy, while the received signal to interference plus noise (SINR) ratio at the destination is above a certain threshold level. We also analyze the node isolation and network connectivity probabilities for the WRs considering a bounded region. Based on this bounded region of the WRs, we then select the best WR to forward the message from sources to the destination. Furthermore, the coverage probability is also analyzed for the WRs residing both within and outside the bounded region.

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Section: A Wr Battery Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%