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Energy-saving Resource Allocation by Exploiting the Context Information

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Chuting Yao, Chenyang Yang, Zixiang Xiong

Information Theory · Submitted 7 Jul 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Simulation results show that our policy provides significant gains over those without exploiting any context information.

how it is stated · asserted 1.00 read the record →

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arXiv ID1507.01780 (version 1)
Pith IDD5EY3BFR, Pith's permanent record of this paper and its review
CitationChenyang Yang, Chuting Yao, Zixiang Xiong. "Energy-saving Resource Allocation by Exploiting the Context Information." arXiv:1507.01780 (2015). https://pith.science/paper/D5EY3BFR
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,238 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.24 · human participants 0.02 · controlled comparison 0.91 · randomized assignment 0.02 · states quantitative result 0.06 · compares with prior results 0.90 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Improving energy efficiency of wireless systems by exploiting the context information has received attention recently as the smart phone market keeps expanding. In this paper, we devise energy-saving resource allocation policy for multiple base stations serving non-real-time traffic by exploiting three levels of context information, where the background traffic is assumed to occupy partial resources. Based on the solution from a total energy minimization problem with perfect future information,a context-aware BS sleeping, scheduling and power allocation policy is proposed by estimating the required future information with three levels of context information. Simulation results show that our policy provides significant gains over those without exploiting any context information. Moreover, it is seen that different levels of context information play different roles in saving energy and reducing outage in transmission.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Improving energy efficiency of wireless systems by exploiting the context information has received attention recently as the smart phone market keeps expanding. background 1.00 0.04 0.03 asserted 0.99
s1 In this paper, we devise energy-saving resource allocation policy for multiple base stations serving non-real-time traffic by exploiting three levels of context information, where the background traffic is assumed to occupy partial resources. contribution 0.98 0.94 0.06 asserted 0.99
s2 Based on the solution from a total energy minimization problem with perfect future information,a context-aware BS sleeping, scheduling and power allocation policy is proposed by estimating the required future information with three levels of context information. method 0.84 0.93 0.11 asserted 1.00
s3 Simulation results show that our policy provides significant gains over those without exploiting any context information. result 1.00 0.96 0.68 asserted 1.00
s4 Moreover, it is seen that different levels of context information play different roles in saving energy and reducing outage in transmission. interpretation 0.68 0.93 0.23 asserted 0.98

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Improving energy efficiency of wireless systems by exploiting the context information has received attention recently as the smart phone market keeps expanding. In this paper, we devise energy-saving resource allocation policy for multiple base stations serving non-real-time traffic by exploiting three levels of context information, where the background traffic is assumed to occupy partial resources. Based on the solution from a total energy minimization problem with perfect future information,a context-aware BS sleeping, scheduling and power allocation policy is proposed by estimating the required future information with three levels of context information. Simulation results show that our policy provides significant gains over those without exploiting any context information. Moreover, it is seen that different levels of context information play different roles in saving energy and reducing outage in transmission.

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