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Yaohui Jing

dblp:248/2077 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 50% Approximation and online algorithms · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › channel capacity
energy harvesting communication
0.512021
On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications · IEEE Trans. Inf. Theory 2021
Approximation and online algorithms
greedy policy
0.512021
On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications · IEEE Trans. Inf. Theory 2021

Methods — techniques the papers use, named apart from their topics

markov decision process · 0.5
YearPublicationVenuePosition
2021 On the Optimality of the Greedy Policy for Battery Limited Energy Harvesting Communications
abstract
Consider a battery limited energy harvesting communication system with online power control. Assuming independent and identically distributed (i.i.d.) energy arrivals and the harvest-store-use architecture, it is shown that the greedy policy achieves the maximum throughput if and only if the battery capacity is below a certain positive threshold that admits a precise characterization. Simple lower and upper bounds on this threshold are established. The asymptotic relationship between the threshold and the mean of the energy arrival process is analyzed for several examples.
Ali Zibaeenejad, Yaohui Jing, Jun Chen 0005
IEEE Trans. Inf. Theory3