A hybrid overlay/underlay spectrum sharing method for cognitive radio networks based on user classification and convex optimization is proposed. Interference radii are configured for the primary receiver and each cognitive receiver. Cognitive users are divided into four groups and allocated different spectrum sharing patterns according to their distance from the primary transmitter and receiver. An optimal power allocation scheme that achieves the maximum sum rate of cognitive radio system on the premise of satisfying the interference constraint of primary receiver is acquired through the convex optimization method. Performance analysis and simulation results show that, compared with existing methods, our method leads to improved performance of achievable sum rate of cognitive users while guarantees the transmission of primary users.
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Mei RONG, Shihua ZHU, "Hybrid Overlay/Underlay Spectrum Sharing in Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 9, pp. 2672-2676, September 2011, doi: 10.1587/transcom.E94.B.2672.
Abstract: A hybrid overlay/underlay spectrum sharing method for cognitive radio networks based on user classification and convex optimization is proposed. Interference radii are configured for the primary receiver and each cognitive receiver. Cognitive users are divided into four groups and allocated different spectrum sharing patterns according to their distance from the primary transmitter and receiver. An optimal power allocation scheme that achieves the maximum sum rate of cognitive radio system on the premise of satisfying the interference constraint of primary receiver is acquired through the convex optimization method. Performance analysis and simulation results show that, compared with existing methods, our method leads to improved performance of achievable sum rate of cognitive users while guarantees the transmission of primary users.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2672/_p
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@ARTICLE{e94-b_9_2672,
author={Mei RONG, Shihua ZHU, },
journal={IEICE TRANSACTIONS on Communications},
title={Hybrid Overlay/Underlay Spectrum Sharing in Cognitive Radio Networks},
year={2011},
volume={E94-B},
number={9},
pages={2672-2676},
abstract={A hybrid overlay/underlay spectrum sharing method for cognitive radio networks based on user classification and convex optimization is proposed. Interference radii are configured for the primary receiver and each cognitive receiver. Cognitive users are divided into four groups and allocated different spectrum sharing patterns according to their distance from the primary transmitter and receiver. An optimal power allocation scheme that achieves the maximum sum rate of cognitive radio system on the premise of satisfying the interference constraint of primary receiver is acquired through the convex optimization method. Performance analysis and simulation results show that, compared with existing methods, our method leads to improved performance of achievable sum rate of cognitive users while guarantees the transmission of primary users.},
keywords={},
doi={10.1587/transcom.E94.B.2672},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Hybrid Overlay/Underlay Spectrum Sharing in Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2672
EP - 2676
AU - Mei RONG
AU - Shihua ZHU
PY - 2011
DO - 10.1587/transcom.E94.B.2672
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2011
AB - A hybrid overlay/underlay spectrum sharing method for cognitive radio networks based on user classification and convex optimization is proposed. Interference radii are configured for the primary receiver and each cognitive receiver. Cognitive users are divided into four groups and allocated different spectrum sharing patterns according to their distance from the primary transmitter and receiver. An optimal power allocation scheme that achieves the maximum sum rate of cognitive radio system on the premise of satisfying the interference constraint of primary receiver is acquired through the convex optimization method. Performance analysis and simulation results show that, compared with existing methods, our method leads to improved performance of achievable sum rate of cognitive users while guarantees the transmission of primary users.
ER -