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Queueing Game For Spectrum Access in Cognitive Radio Networks

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Zheng Chang, Tapani Ristaniemi, Zhu Han

Networking and Internet Architecture · Submitted 7 Jun 2015

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

The authors' main claim Our proposed algorithms and corresponding analysis are validated through simulation studies.

how it is stated · asserted 1.00 read the record →

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arXiv ID1506.02281 (version 1)
Pith IDBTHVFAFT, Pith's permanent record of this paper and its review
CitationTapani Ristaniemi, Zheng Chang, Zhu Han. "Queueing Game For Spectrum Access in Cognitive Radio Networks." arXiv:1506.02281 (2015). https://pith.science/paper/BTHVFAFT
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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, 5,384 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.06 · human participants 0.02 · controlled comparison 0.07 · randomized assignment 0.02 · states quantitative result 0.04 · compares with prior results 0.08 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

In this paper, we investigate the problem of spectrum access decision-making for the Secondary Users (SUs) in the cognitive radio networks. When the Primary Users (PUs) are absent on certain frequency bandwidth, SUs can formulate a queue and wait for the Base Station (BS) to serve. The queue of the SUs will be dismissed if the PU is emerging in the system. Leveraging the queueing game approaches, the decision-making process of the SUs that whether to queue or not is studied. Both individual equilibrium and social optimization strategies are derived analytically. Moreover, the optimal pricing strategy of the service provider is investigated as well. Our proposed algorithms and corresponding analysis are validated through simulation studies.

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 In this paper, we investigate the problem of spectrum access decision-making for the Secondary Users (SUs) in the cognitive radio networks. contribution 0.54 0.75 0.03 asserted 0.85
s1 When the Primary Users (PUs) are absent on certain frequency bandwidth, SUs can formulate a queue and wait for the Base Station (BS) to serve. background 0.86 0.12 0.03 asserted 0.60
s2 The queue of the SUs will be dismissed if the PU is emerging in the system. background 0.91 0.12 0.03 asserted 1.00
s3 Leveraging the queueing game approaches, the decision-making process of the SUs that whether to queue or not is studied. method 0.51 0.86 0.07 asserted 0.98
s4 Both individual equilibrium and social optimization strategies are derived analytically. contribution 0.52 0.94 0.20 asserted 1.00
s5 Moreover, the optimal pricing strategy of the service provider is investigated as well. contribution 1.00 0.91 0.08 asserted 0.98
s6 Our proposed algorithms and corresponding analysis are validated through simulation studies. method 0.67 0.95 0.19 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.85 · evidence from simulation or computation 0.54.

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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

In this paper, we investigate the problem of spectrum access decision-making for the Secondary Users (SUs) in the cognitive radio networks. When the Primary Users (PUs) are absent on certain frequency bandwidth, SUs can formulate a queue and wait for the Base Station (BS) to serve. The queue of the SUs will be dismissed if the PU is emerging in the system. Leveraging the queueing game approaches, the decision-making process of the SUs that whether to queue or not is studied. Both individual equilibrium and social optimization strategies are derived analytically. Moreover, the optimal pricing strategy of the service provider is investigated as well. Our proposed algorithms and corresponding analysis are validated through simulation studies.

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