The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam makalah ini, kami mempertimbangkan keperluan penghantaran rangkaian komunikasi untuk dua kelas pengguna sekunder (SU), yang dinamakan SU1 dan SU2 (keutamaan terendah) dalam rangkaian radio kognitif (CRN). Dalam CRN sedemikian, pengguna utama (PU) mempunyai keutamaan preemptif ke atas kedua-dua pengguna SU1 (SU1) dan pengguna SU2 (SU2). Kami mencadangkan skim preemptif (dirujuk sebagai Skim P) dan skim bukan preemptif (dirujuk sebagai Skim Bukan P) apabila mempertimbangkan interaksi antara SU1 dan SU2. Memfokuskan pada gangguan penghantaran kepada paket SU2, kami membentangkan skim pemulangan kebarangkalian dengan kebarangkalian kembali untuk merealisasikan kawalan maklum balas untuk paket SU2. Kami membentangkan model rantai Markov untuk membangunkan beberapa formula untuk paket SU1 dan SU2, dan membandingkan pengaruh Skim P dan Skim Bukan P dalam cadangan skim pulangan kebarangkalian. Analisis berangka membandingkan kesan kebarangkalian kembali pada Skim P dan Skim Bukan P. Tambahan pula, kami mengoptimumkan kebarangkalian kembali dan membandingkan keputusan berangka optimum yang dihasilkan oleh Skim P dan Skim Bukan P.
Yuan ZHAO
Northeastern University at Qinhuangdao
Wuyi YUE
Konan University
Yutaka TAKAHASHI
Kyoto University
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Salinan
Yuan ZHAO, Wuyi YUE, Yutaka TAKAHASHI, "Comparison of a Probabilistic Returning Scheme for Preemptive and Non-Preemptive Schemes in Cognitive Radio Networks with Two Classes of Secondary Users" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 3, pp. 338-346, March 2022, doi: 10.1587/transcom.2021EBP3082.
Abstract: In this paper, we consider the transmission needs of communication networks for two classes of secondary users (SUs), named SU1 and SU2 (lowest priority) in cognitive radio networks (CRNs). In such CRNs, primary users (PUs) have preemptive priority over both SU1's users (SU1s) and SU2's users (SU2s). We propose a preemptive scheme (referred to as the P Scheme) and a non-preemptive scheme (referred to as the Non-P Scheme) when considering the interactions between SU1s and SU2s. Focusing on the transmission interruptions to SU2 packets, we present a probabilistic returning scheme with a returning probability to realize feedback control for SU2 packets. We present a Markov chain model to develop some formulas for SU1 and SU2 packets, and compare the influences of the P Scheme and the Non-P Scheme in the proposed probabilistic returning scheme. Numerical analyses compare the impact of the returning probability on the P Scheme and the Non-P Scheme. Furthermore, we optimize the returning probability and compare the optimal numerical results yielded by the P Scheme and the Non-P Scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3082/_p
Salinan
@ARTICLE{e105-b_3_338,
author={Yuan ZHAO, Wuyi YUE, Yutaka TAKAHASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Comparison of a Probabilistic Returning Scheme for Preemptive and Non-Preemptive Schemes in Cognitive Radio Networks with Two Classes of Secondary Users},
year={2022},
volume={E105-B},
number={3},
pages={338-346},
abstract={In this paper, we consider the transmission needs of communication networks for two classes of secondary users (SUs), named SU1 and SU2 (lowest priority) in cognitive radio networks (CRNs). In such CRNs, primary users (PUs) have preemptive priority over both SU1's users (SU1s) and SU2's users (SU2s). We propose a preemptive scheme (referred to as the P Scheme) and a non-preemptive scheme (referred to as the Non-P Scheme) when considering the interactions between SU1s and SU2s. Focusing on the transmission interruptions to SU2 packets, we present a probabilistic returning scheme with a returning probability to realize feedback control for SU2 packets. We present a Markov chain model to develop some formulas for SU1 and SU2 packets, and compare the influences of the P Scheme and the Non-P Scheme in the proposed probabilistic returning scheme. Numerical analyses compare the impact of the returning probability on the P Scheme and the Non-P Scheme. Furthermore, we optimize the returning probability and compare the optimal numerical results yielded by the P Scheme and the Non-P Scheme.},
keywords={},
doi={10.1587/transcom.2021EBP3082},
ISSN={1745-1345},
month={March},}
Salinan
TY - JOUR
TI - Comparison of a Probabilistic Returning Scheme for Preemptive and Non-Preemptive Schemes in Cognitive Radio Networks with Two Classes of Secondary Users
T2 - IEICE TRANSACTIONS on Communications
SP - 338
EP - 346
AU - Yuan ZHAO
AU - Wuyi YUE
AU - Yutaka TAKAHASHI
PY - 2022
DO - 10.1587/transcom.2021EBP3082
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2022
AB - In this paper, we consider the transmission needs of communication networks for two classes of secondary users (SUs), named SU1 and SU2 (lowest priority) in cognitive radio networks (CRNs). In such CRNs, primary users (PUs) have preemptive priority over both SU1's users (SU1s) and SU2's users (SU2s). We propose a preemptive scheme (referred to as the P Scheme) and a non-preemptive scheme (referred to as the Non-P Scheme) when considering the interactions between SU1s and SU2s. Focusing on the transmission interruptions to SU2 packets, we present a probabilistic returning scheme with a returning probability to realize feedback control for SU2 packets. We present a Markov chain model to develop some formulas for SU1 and SU2 packets, and compare the influences of the P Scheme and the Non-P Scheme in the proposed probabilistic returning scheme. Numerical analyses compare the impact of the returning probability on the P Scheme and the Non-P Scheme. Furthermore, we optimize the returning probability and compare the optimal numerical results yielded by the P Scheme and the Non-P Scheme.
ER -