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Theoretical Investigation of Different Diversity Combining Techniques in Cognitive Radio

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, the performance of an energy detector in cognitive radio, using different diversity combining techniques, is evaluated. Among many diversity combining techniques, maximal ratio combining (MRC) gives the best results but at the cost of the highest complexity. To design a simpler receiver, it is suggested to use less complex combining techniques, i.e. switched diversity, which provides one of the least complex solutions to combat fading. The paper analyzes two switched diversity schemes, switch examine combining (SEC), and switch examine combining with post examining selection (SECp). A closed form expression determining the probability of detection using MRC, SEC and SECp is derived for various numbers of branches. Detection performance with different diversity combining techniques is compared and the complexity trade-off is observed.
Rocznik
Tom
Strony
64--69
Opis fizyczny
Bibliogr. 26 poz., rys.
Twórcy
autor
  • Babu Banarasi Das National Institute of Technology & Management, Lucknow, Uttar Pradesh, India 226010
  • Rajkiya Engineering College, Kannauj, Uttar Pradesh, India 209732
autor
  • Rajkiya Engineering College, Sonbhadra, Uttar Pradesh, India 231206
Bibliografia
  • [1] K. R. Chowdhury, I. F. Akyildiz, and W.-Y. Lee, „CRAHNs: Cognitive radio ad hoc networks", Ad Hoc Networks, vol. 7, no. 5, pp. 810-836, 2009 (doi: 10.1016/j.adhoc.2009.01.001).
  • [2] B. H. Juang, J. Ma, and G. Li, „Signal processing in cognitive radio", Proc. of IEEE, vol. 97, no. 5, pp. 805-823, 2009 (doi: 10.1109/JPROC.2009.2015707).
  • [3] R. Balakrishnan, I. F. Akyildiz, and F. L. Brandon, „Cooperative spectrum sensing in cognitive radio networks: A survey" Physic. Communic., vol. 4, no. 1, pp. 40-62, 2010 (doi: 10.1016/j.phycom.2010.12.003).
  • [4] M. C. Vuran, S. Mohanty, I. F. Akyildiz, and W.-Y. Lee, „Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey", Computer Networks, vol. 50, no. 13, pp. 2127-2159, 2006 (doi: 10.1016/j.comnet.2006.05.001).
  • [5] A. Tkachenko, D. Cabric, and R. W. Brodersen, „Experimental study of spectrum sensing based on energy detection and network cooperation", in Proc. 1st Int. Workshop on Technol. and Policy of Spectrum Sensing TAPAS 2006, Boston, MA, USA, 2006, article no. 12 (doi: 10.1145/1234388.1234400).
  • [6] E. Hossain and V. Bhargava, Cognitive wireless communication network. New York: Springer, 2007 (ISBN: 978-0387688305).
  • [7] S. M. Mishra, D. Cabric, and R. W. Brodersen, „Implementation issues in spectrum sensing for cognitive radios", in Proc. Conf. Record of the Thirty-Eighth Asilomar Conf. on Signals, Systems and Computers,, Pacific Grove, CA. USA, 2004, pp. 772-776 (doi: 10.1109/ACSSC.2004.1399240).
  • [8] M. S. Alouini and M. K. Simon, „Performance analysis of generalized selective combining over Rayleigh fading channels", in Proc. 1999 IEEE Communications Theory Mini-Conference, Vancouver, BC, Canada, 1999, pp. 110-114 (doi: 10.1109/CTMC.1999.790247).
  • [9] M. K. Simon and M.-S. Alouini, Digital Communication over Fading Channels. Hobeken NJ: Wiley, 2nd edition, 2005 (ISBN: 978-0-471-64953-3).
  • [10] S. Ikki and M. H. Ahmed, „Performance analysis of cooperative diversity using equal gain combining (EGC) technique over Rayleigh fading channels", in Proc. 2007 IEEE Int. Conf. on Commun., Glasgow, UK, 2007, pp. 5336-5341 (doi: 10.1109/ICC.2007.883).
  • [11] J. N. Laneman, D. N. C. Tse, and G.W.Wornell, „Cooperative diversity in wireless networks: Efficient protocols and outage behavior", IEEE Transact. on Inform. Theory, vol. 50, no. 12, pp. 3062-3080, 2004 (doi: 10.1109/TIT.2004.838089).
  • [12] M.-S. Alouini and A. J. Goldsmith, „A unified approach for calculating error rates of linearly modulated signals over generalized fading channels", IEEE Transact. on Commun., vol. 47, no. 9, pp. 1324-1334, 1999 (doi: 10.1109/26.789668).
  • [13] T. Eng and L. B. Milstein, „Coherent DS-CDMA performance in Nakagami multipath fading", IEEE Transact. on Commun., vol. 43, no. 2/3/4, pp. 1134-1143, 1995 (doi: 10.1109/26.380145).
  • [14] J. Hu and N. C. Beaulieu, „Closed-form expressions for the outage and error probabilities of decode-and-forward relaying in dissimilar Rayleigh fading channels", in Proc. 2007 IEEE Int. Conf. on Communications, Glasgow, UK, 2007, pp. 5553-5557 (doi: 10.1109/ICC.2007.920).
  • [15] H. Katiyar and R. Bhattacharjee, „Performance of two-hop decode-forward multi-antenna cooperative relaying in Nakagami-n fading channel", in Proc. 2009 Annual IEEE India Conf. INDICON 2009, Ahmedabad, Gujarat, India, 2009 (doi: 10.1109.INDCON.2009.5409478).
  • [16] D. Brennan, „Linear diversity combining techniques", Proc of the IRE, vol. 47, no. 6, pp. 1075-1102, 1959 (doi: 10.1109/JRPROC.1959.287136).
  • [17] A. Adinoyi, Y. Fan, H. Yanikomeroglu, H. Poor, and F. Al-Shaalan, „Performance of selection relaying and cooperative diversity", IEEE Transact. on Wireless Commun., vol. 8, no. 12, pp. 5790-5795, 2009 (doi: 10.1109/TWC.2009.12.090138).
  • [18] T. S. Rappaport, K. L. Kosbar, W. H. Tranter, and K. S. Shanmugan, Principles of Communication Systems Simulation with Wireless Applications, Upper Saddle River, NJ: Prentice Hall, 1st edition, 2004 (ISBN: 978-0134947907).
  • [19] H. Katiyar, R. Bhattacharjee, and S. Darshi, „Outage performance of switch and stay combining scheme for multi-antenna relay network", in Proc. 2010 Second UK-India-IDRC Int. Workshop on Cognit. Wireless Sys. UKIWCWS 2010, New Delhi, India, 2010 (doi: 10.1109/UKIWCWS.2010.5724229).
  • [20] H.-C. Yang, M.-S. Alouini, „Improving the performance of switched diversity with post-examining selection", IEEE Transact. on Wireless Commun., vol. 5, no. 1, pp. 67-71, 2006 (doi: 10.1109/TWC.2006.1576529).
  • [21] O. Altrad and S. Muhaidat, „A new mathematical analysis of the probability of detection in cognitive radio over fading channels", EURASIP J. on Wireless Commun. and Network., no. 1, pp. 1-11, 2013 (doi: 10.1186/1687-1499-2013-159).
  • [22] I. E. Stegun and M. Abramowitz. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972 (ISBN: 978-0486612720).
  • [23] M. K. Simon, Probability Distribution Involving Gaussian Random Variables: A Handbook for Engineers and Scientists, International Series in Engineering and Computer Science. New York: Springer, 2002 (ISBN: 978-0387476940).
  • [24] I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series and Products. London: Academic Press Inc, 7th revised edition, 2007 (ISBN: 978-0123736376).
  • [25] R. Agarwal, N. Srivastava, and H. Katiyar, „Energy detection of unknown signals over Rayleigh fading channel for EGC and SSC diversity combining techniques", in Proc. 2016 Int. Conf. on Emerging Trends in Electr. Electron. & Sustain. Energy Sys. ICETEESES, Sultanpur, Uttar Pradesh, 2016, pp. 116-119 (doi: 10.1109/ICETEESES.2016.7581365).
  • [26] A. H. Nuttall, Some integrals involving the Q SUB M function. New London, CT: Naval Underwater Systems Center, 1974.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c92a86dc-ebdb-4767-b5e9-b1533e5805de
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