Mobile operators need to migrate from 2G to 3G networks in a cost-effective manner. Cognitive radio systems are currently being investigated as a promising solution to achieve spectrum efficiency by allowing coexistence of unlicensed (secondary) networks and licensed (primary) networks. However, conventional mechanisms to operate these systems incur additional complexity and fail to maximize network performance. In this paper, we propose a pilot sensing and frequency selection method with low complexity for OFDMA-based cognitive radio systems. Subject to the interference constraints imposed by the primary network, capacity maximization problems involving both up-link and down-link connections are considered for overall network performance improvement. The throughput and outage probability of the proposed method are evaluated by simulations. Our proposed method shows outstanding performance if the channel varies frequently in the primary network and the frequency reuse factor of the primary network is high.
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Tae-Hwan KIM, Tae-Jin LEE, "Frequency Sharing Mechanism Using Pilot Sensing in OFDMA-Based Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 4, pp. 986-996, April 2011, doi: 10.1587/transcom.E94.B.986.
Abstract: Mobile operators need to migrate from 2G to 3G networks in a cost-effective manner. Cognitive radio systems are currently being investigated as a promising solution to achieve spectrum efficiency by allowing coexistence of unlicensed (secondary) networks and licensed (primary) networks. However, conventional mechanisms to operate these systems incur additional complexity and fail to maximize network performance. In this paper, we propose a pilot sensing and frequency selection method with low complexity for OFDMA-based cognitive radio systems. Subject to the interference constraints imposed by the primary network, capacity maximization problems involving both up-link and down-link connections are considered for overall network performance improvement. The throughput and outage probability of the proposed method are evaluated by simulations. Our proposed method shows outstanding performance if the channel varies frequently in the primary network and the frequency reuse factor of the primary network is high.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.986/_p
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@ARTICLE{e94-b_4_986,
author={Tae-Hwan KIM, Tae-Jin LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Frequency Sharing Mechanism Using Pilot Sensing in OFDMA-Based Cognitive Radio Networks},
year={2011},
volume={E94-B},
number={4},
pages={986-996},
abstract={Mobile operators need to migrate from 2G to 3G networks in a cost-effective manner. Cognitive radio systems are currently being investigated as a promising solution to achieve spectrum efficiency by allowing coexistence of unlicensed (secondary) networks and licensed (primary) networks. However, conventional mechanisms to operate these systems incur additional complexity and fail to maximize network performance. In this paper, we propose a pilot sensing and frequency selection method with low complexity for OFDMA-based cognitive radio systems. Subject to the interference constraints imposed by the primary network, capacity maximization problems involving both up-link and down-link connections are considered for overall network performance improvement. The throughput and outage probability of the proposed method are evaluated by simulations. Our proposed method shows outstanding performance if the channel varies frequently in the primary network and the frequency reuse factor of the primary network is high.},
keywords={},
doi={10.1587/transcom.E94.B.986},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Frequency Sharing Mechanism Using Pilot Sensing in OFDMA-Based Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 986
EP - 996
AU - Tae-Hwan KIM
AU - Tae-Jin LEE
PY - 2011
DO - 10.1587/transcom.E94.B.986
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2011
AB - Mobile operators need to migrate from 2G to 3G networks in a cost-effective manner. Cognitive radio systems are currently being investigated as a promising solution to achieve spectrum efficiency by allowing coexistence of unlicensed (secondary) networks and licensed (primary) networks. However, conventional mechanisms to operate these systems incur additional complexity and fail to maximize network performance. In this paper, we propose a pilot sensing and frequency selection method with low complexity for OFDMA-based cognitive radio systems. Subject to the interference constraints imposed by the primary network, capacity maximization problems involving both up-link and down-link connections are considered for overall network performance improvement. The throughput and outage probability of the proposed method are evaluated by simulations. Our proposed method shows outstanding performance if the channel varies frequently in the primary network and the frequency reuse factor of the primary network is high.
ER -