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    Distributed optimization of a multisubchannel Ad Hoc cognitive radio network

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    Type
    Article
    Authors
    Leith, Alex
    Kim, Dongin
    Alouini, Mohamed-Slim cc
    Wu, Zhiqiang
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2012-05
    Permanent link to this record
    http://hdl.handle.net/10754/562170
    
    Metadata
    Show full item record
    Abstract
    In this paper, we study the distributed-duality-based optimization of a multisubchannel ad hoc cognitive radio network (CRN) that coexists with a multicell primary radio network (PRN). For radio resource allocation in multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, the orthogonal-access-based exclusive subchannel assignment (ESA) technique has been a popular method, but it is suboptimal in ad hoc networks, because nonorthogonal access between multiple secondary-user links by using shared subchannel assignment (SSA) can bring a higher weighted sum rate. We utilize the Lagrangian dual composition tool and design low-complexity near-optimal SSA resource allocation methods, assuming practical discrete-rate modulation and that the CRN-to-PRN interference constraint has to strictly be satisfied. However, available SSA methods for CRNs are either suboptimal or involve high complexity and suffer from slow convergence. To address this problem, we design fast-convergence SSA duality schemes and introduce several novel methods to increase the speed of convergence and to satisfy various system constraints with low complexity. For practical implementation in ad hoc CRNs, we design distributed-duality schemes that involve only a small number of CRN local information exchanges for dual update. The effects of many system parameters are presented through simulation results, which show that the near-optimal SSA duality scheme can perform significantly better than the suboptimal ESA duality and SSA-iterative waterfilling schemes and that the performance loss of the distributed schemes is small, compared with their centralized counterparts. © 2012 IEEE.
    Citation
    Leith, A., Kim, D. I., Alouini, M.-S., & Wu, Z. (2012). Distributed Optimization of a Multisubchannel Ad Hoc Cognitive Radio Network. IEEE Transactions on Vehicular Technology, 61(4), 1786–1800. doi:10.1109/tvt.2012.2189253
    Sponsors
    This work was supported in part by the Ministry of Knowledge Economy, Korea, through the Information Technology Research Center Support Program supervised by the National IT Promotion Agency (NIPA) under Grant NIPA-2012-(C1090-1211-0005), the Ministry of Education, Science and Technology of the Republic through the National Research Foundation of Korea under Grant 2011-0029329, and Qatar National Research Fund (a member of Qatar Foundation). This paper was presented in part at the IEEE International Global Communications Conference, December 2009 and 2010. The review of this paper was coordinated by Prof. W. A. Hamouda.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Vehicular Technology
    DOI
    10.1109/TVT.2012.2189253
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVT.2012.2189253
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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