Cooperative Multiband Joint Detection With Correlated Spectral Occupancy in Cognitive Radio Networks
| Autor: | Khalid Hossain, Benoit Champagne, Ayman Assra |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Optimization problem
Computer science business.industry Detector Throughput Data_CODINGANDINFORMATIONTHEORY Interference (wave propagation) Markov model Multiuser detection Cognitive radio Signal Processing Network performance Electrical and Electronic Engineering Wideband Telecommunications business Throughput (business) Algorithm |
| Zdroj: | IEEE Transactions on Signal Processing. 60:2682-2687 |
| ISSN: | 1941-0476 1053-587X |
| DOI: | 10.1109/tsp.2012.2187521 |
| Popis: | In this paper, a frequency-coupled optimum linear energy combiner (OLEC) structure, recently proposed for single user scenarios, is generalized to multiple users and integrated into the spatial-spectral joint detection framework introduced by Quan , to take further advantage of subband occupancy correlation in cooperative wideband spectrum sensing. In particular, the design of the detection thresholds and fusion weights used by a bank of subband multiuser OLECs is formulated as a joint optimization problem, i.e. maximization of aggregate opportunistic throughput under interference constraints (or vice versa). Through numerical experiments with a Markov model of subband occupancy, the proposed scheme is shown to significantly enhance CR network performance in terms of these global metrics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|