CLC number: TN919; TN92
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Jie CHEN, Min-jian ZHAO, Qiao ZHOU, Shi-ju LI. A cross-layer design approach on spectrum allocation and resource scheduling in cognitive PMP networks[J]. Journal of Zhejiang University Science A, 2008, 9(4): 435-444.
@article{title="A cross-layer design approach on spectrum allocation and resource scheduling in cognitive PMP networks",
author="Jie CHEN, Min-jian ZHAO, Qiao ZHOU, Shi-ju LI",
journal="Journal of Zhejiang University Science A",
volume="9",
number="4",
pages="435-444",
year="2008",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A071373"
}
%0 Journal Article
%T A cross-layer design approach on spectrum allocation and resource scheduling in cognitive PMP networks
%A Jie CHEN
%A Min-jian ZHAO
%A Qiao ZHOU
%A Shi-ju LI
%J Journal of Zhejiang University SCIENCE A
%V 9
%N 4
%P 435-444
%@ 1673-565X
%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A071373
TY - JOUR
T1 - A cross-layer design approach on spectrum allocation and resource scheduling in cognitive PMP networks
A1 - Jie CHEN
A1 - Min-jian ZHAO
A1 - Qiao ZHOU
A1 - Shi-ju LI
J0 - Journal of Zhejiang University Science A
VL - 9
IS - 4
SP - 435
EP - 444
%@ 1673-565X
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A071373
Abstract: We propose the spectrum allocation and resource scheduling algorithms in cognitive point to multipoint (PMP) networks with rapid changes of spectrum opportunities and present a media access control (MAC) protocol based on these algorithms. The objective of spectrum allocation is to make efficient use of the spectrum while maintaining the transceiver synchronization on frequency and time in the network. The objective of resource scheduling is to guarantee the quality of service (QoS) requirements of different kinds of connections and to minimize the total energy consumption in the network as well. By sensing only a small set of possible channels in each slot based on the state transition probability of each channel, our spectrum allocation algorithm achieves high spectrum efficiency in the network. The resource scheduling problem is divided into three sub problems and we derive optimal solutions to these problems by greedy algorithm and convex optimization. The simulation results show that our algorithm can make efficient use of the spectrum and the network resources at a cost of low computational complexity.
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