Online Resource Allocation for Energy Harvesting Based Large-Scale Multiple Antenna Systems

Yu, Haijun; Zhou, Zhenyu; Pan, Chao; Zhao, Xiongwen; Mumtaz, Shahid

doi:10.1109/gcwkshps45667.2019.9024449

Cited by 2 publications

(1 citation statement)

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“…Renewable energy, envisioned as a promising alternative to the traditional fossil fuel based power generation, provides an effective way of reducing energy costs in dense cellular networks [4]. One of the most challenging issues of cellular networks powered by renewable energy lies in the stochastic and intermittent nature of the renewable sources [5]. In this paper, motivated by the law of large numbers, we smooth out such fluctuations by enabling cooperative power sharing among the BSs.…”

Section: Introductionmentioning

confidence: 99%

Power Coverage Analysis of Cellular Networks With Energy Harvesting and Microwave Power Transfer-Based Power Sharing

Chen

2020

IEEE Access

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This paper studies the performance of hyperdense large-scale cellular networks with energy harvesting. To combat the randomness of renewables, the base stations (BSs) with the harvested power larger than the predefined power target are assumed to cooperatively share their surplus power to the BSs with insufficient energy via directed microwave power transfer (MPT). To evaluate the performance of the proposed cooperative power sharing scheme, a new performance metric, namely the power coverage probability, which is defined as the probability that a BS satisfies its respective power target, is introduced and then characterized by applying tools from stochastic geometry. It is shown that in the hyperdense regime, the power coverage probability of cellular networks with energy harvesting and MPT based power sharing depends on the statistical mean of the harvested renewables, the power target, the power sharing distance, and the MPT path-loss exponent. Simulations are provided to validate our analysis. INDEX TERMS Energy harvesting, multi-cell cooperation, microwave power transfer, stochastic geometry, power coverage probability.

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Section: Introductionmentioning

confidence: 99%