PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Suboptimal Approach to Distributed Detection in Cognitive Radio Networks

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper a dynamic spectrum access (DSA) concept is explored for mitigating the paucity of spectral bandwidth in cognitive radio (CR) for opportunistic, dynamic access of the spectrum without any interference. Dynamic spectrum access schemes are proposed for a distributed cognitive radio network consisting of one secondary user (SU) and many primary users (PUs). The SU has to make decisions for accessing PU channels within discrete time slots. The design of sensing and access strategies that govern channel choice in each slot for near-optimal throughput performance of the SU may be formulated as a partially observable Markov decision process (POMDP). Furthermore, it is considered that the SU incurs a cost whenever it switches to a different channel. The switching cost is expressed in terms of delay, packet loss and packet overhead. In this work, the SU access policy based on a myopic approach is proposed and evaluated.
Rocznik
Tom
Strony
32--36
Opis fizyczny
Bibliogr. 12 poz., rys.
Twórcy
  • Department of Electronics and Communication, Engineering VFSTR, Guntur, A.P., India
  • Department of Electronics and Communication, Engineering VFSTR, Guntur, A.P., India
Bibliografia
  • [1] K. Patil, R. Prasad, and K. Skouby, „A survey of worldwide spectrum occupancy measurement campaigns for cognitive radio", in Proc. Int. Conf. on Devices and Commun. ICDeCom IEEE, Mesra, India, 2011, pp. 1-5 (DOI: 10.1109/ICDECOM.2011.5738472).
  • [2] E. Axell, G. Leus, E. G. Larsson, and H. V. Poor, „Spectrum sensing for cognitive radio: State-of-the-art and recent advances", IEEE Signal Process. Mag., vol. 29, no. 3, pp. 101-116, 2012 (DOI: 10.1109/MSP.2012.2183771).
  • [3] R. Umar and A. U. Sheikh, „A comparative study of spectrum awareness techniques for cognitive radio oriented wireless networks", Physical Commun., vol. 9, pp. 148-170, 2013 (DOI: 10.1016/j.phycom.2012.07.005).
  • [4] A. A. Khan, M. H. Rehmani, and M. Reisslein, „Cognitive radio for smart grids: Survey of architectures, spectrum sensing mechanisms, and networking protocols", IEEE Commun. Surveys & Tutorials, vol. 18, no. 1, pp. 860-898, 2016 (DOI: 10.1109/COMST.2015.2481722).
  • [5] M. Riahi Manesh, N. Kaabouch, H. Reyes, and W.-C. Hu, „A Bayesian approach to estimate and model SINR in wireless networks", Int. J. of Commun. Systems, vol. 30, no. 9, pp. 1-11, 2016 (DOI: 10.1002/dac.3187).
  • [6] J. A. Bazerque and G. B. Giannakis, „Distributed spectrum sensing for cognitive radio networks by exploiting sparsity", IEEE Transactions on Signal Process., vol. 58, no. 3, pp. 1847-1862, 2010 (DOI: 10.1109/TSP.2009.2038417).
  • [7] G. Ganesan and Y. Li, „Cooperative spectrum sensing in cognitive radio networks", in Proc. 1st IEEE Int. Symp. on New Frontiers in Dynamic Spectrum Access Networks. DySPAN 2005, Baltimore, USA, 2005, pp. 137-143 (DOI: 10.1109/DYSPAN.2005.1542628).
  • [8] T. Weiss, J. Hillenbrand, A. Krohn, and F. K. Jondral, „Efficient signaling of spectral resources in spectrum pooling systems", In Proc. 10th Symp. on Commun. and Vehicular Technol. SCVT, 2003 [Online]. Available: https://www.teco.edu/ ~krohn/efficient signaling.pdf
  • [9] A. Wald, Probability and Mathematical Statistics. Wiley, 1947 (ISBN: 9780471918066).
  • [10] Y. Xin, H. Zhang, and S. Rangarajan, „SSCT: A simple sequential spectrum sensing scheme for cognitive radio", in Proc. IEEE Global Telecommun. Conf. GLOBECOM, Honolulu, USA, 2009, pp. 1-6 (DOI: 10.1109/GLOCOM.2009.5425738).
  • [11] D. V. Djonin, Q. Zhao, and V. Krishnamurthy, „Optimality and complexity of opportunistic spectrum access: a truncated Markov decision process formulation", in Proc. of IEEE Int. Conf. on Commun. ICC, 2007, pp. 5787-5792 (DOI: 10.1109/ICC.2007.959).
  • [12] A. Fanous, Y. E. Sagduyu, and A. Ephremides, „Reliable spectrum sensing and opportunistic access in network-coded communications", IEEE J. on Selected Areas in Commun., vol. 32, no. 3, 2013, pp. 400-410 (DOI: 10.1109/JSAC.201.031403).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-431f4e12-23c1-48b0-a77a-cca2f12b60af
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.