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Multiuser Gain in Energy Harvesting Wireless Communications

Authors: Hang Li 0003; Chuan Huang 0001; Shuguang Cui;

Multiuser Gain in Energy Harvesting Wireless Communications

Abstract

In traditional wireless communications, multiuser diversity gain comes from the diversified channel power gains across different users. In energy harvesting wireless systems, the various energy levels at different transmitters may lead to another type of diversity gain. In this paper, multiuser gain with the emphasis on energy diversity is studied for multiuser energy harvesting communications, where the scaling law of the expected throughput over the number of users is investigated. Three access schemes are considered: two centralized schemes (fixed TDMA, where users transmit in a fixed order; and energy-greedy, where the user with the highest energy level is picked for transmission) and a contention-based distributed scheme (where each user contends for the channel with a certain probability). Under both centralized schemes, it is shown that the expected throughput scales on the order of log(N), where N is the number of users. For the distributed scheme, the scaling of throughput depends on the contention probability. Particularly, when each user contends the transmission with probability 1/N, the throughput also scales on the order of log(N) but with a discount factor 1/e. Our analytical and numerical results reveal that compared with the point-to-point energy harvesting communication system, the multiuser throughput gain comes from two aspects: the power gain due to the increase of total energy arrivals; and the diversity gain due to the increase of energy arrival dynamics.

Keywords

multiuser gain, wireless networks, Energy harvesting, energy diversity, scaling law, Electrical engineering. Electronics. Nuclear engineering, throughput, TK1-9971

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
gold