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View all- Schaefer FKays R(2015)Frequency Hopping for Indoor Fading Channels With Varying Level of Environmental MobilityIEEE Wireless Communications Letters10.1109/LWC.2014.23654554:1(42-45)Online publication date: Feb-2015
Estimation of radio capacity of a spread spectrum cognitive radio Rayleigh fading system
Pages 63 - 66
Abstract
The problem of estimating the optimum radio capacity of a spread spectrum non-cellular Cognitive Radio (CR) system, operating in a Rayleigh fading environment, is examined. The optimization is based on the maximization of the average channel capacity (in the Shannon-Hartley sense) available to primary user. In this work, the system's radio capacity is expressed in terms of the number of simultaneously transmitting secondary users but considering only one primary user which receives the spread spectrum simultaneously transmitted signals, through an optimum maximal-ratio combiner (MRC) RAKE receiver. Finally, the theoretical analysis leads to a simple but novel closed-form expression, for the optimum radio capacity, which can be useful for the practical design of a non-cellular CR system and for an initial quantitative analysis. In addition, numerical results are presented to prove and illustrate the validity of the considered model.
References
[1]
Mitola J. and Maguire Jr. G. 1999. Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6, 4 (Aug.1999), 13--18.
[2]
Federal Communication Commission. 2002. Spectrum Policy Task Force. Rep. ET Docket no.02-135 (Nov.2002).
[3]
Goldsmith A. J., Jafar S., Maric I. and Srinivasa S. 2009. Breaking spectrum gridlock with cognitive radios: An information theoretic perspective. In Proceedings of the IEEE, 97 (May 2009), 894--914.
[4]
Devroye N., Mitran P. and Tarokh V. 2006. Achievable rates in cognitive radio channels. IEEE Transactions on Information Theory, vol. 52 (May 2006), 1813--1827.
[5]
Wu W., Vishwanath S. and Arapostathis A. 2007. Capacity of a class of cognitive radio channels: Interference channels with degraded message sets. IEEE Trans. on Information Theory, 53 (Nov.2007), 4391--4399.
[6]
Jovicic A. and Viswanath P. 2009. Cognitive radio: An information-theoretic perspective. IEEE Trans. on Information Theory, 55 (Sept.2009), 3945--3958.
[7]
Zhang R., Cui S. and Liang Y. C. 2009. On ergodic sum capacity of fading cognitive multiple-access and broadcast channels. IEEE Trans. Information Theory, 55 (Nov.2009), 5161--5178.
[8]
Cover T. M. and Thomas J. A. 2006. Elements of Information Theory. 1st Edit., Hoboken, NJ: John Wiley.
[9]
Lee W. C. Y. 1990. Estimate of channel capacity in Rayleigh fading environment. IEEE Trans. on Veh. Technology, 39, 3 (Aug.1990), 187--189.
[10]
Goldsmith A. J. and Varaiya P. 1997. Capacity of fading channels with channel side information. IEEE Trans. on Information Theory, 43, 6 (Nov.1997), 1986--1992.
[11]
Hanif M. F. and Smith P. J. 2010. On the statistics of cognitive radio capacity in shadowing and fast fading environments. IEEE Trans. on Wireless Communications, 9, 2 (Feb.2010), 844--852.
[12]
Xuemin H., Hsiao-Hwa, Hsiao-Hwa C. and Thompson J. 2009. On capacity of cognitive radio networks with average interference power constraints. IEEE Trans. on Wireless Communications, 8, 4 (April 2009), 1620--1625.
[13]
Alencar M. S. and Blake I. F. 1994. The capacity for a discrete-state Code Division Multiple Access Channel. IEEE J. Select. Areas Commun., 12, 5 (June 1994), 925--937.
[14]
Gilhousen K. S., Jacobs I. M., Padovani R., Viterbi A., Weaver L. A. and Wheatley C. E. 1991. On the capacity of a cellular CDMA system. IEEE Trans. on Veh. Technology, 40 (May 1991), 303--312.
[15]
Simon M. K. and Alouini M. S. 2000. Digital Communication over Fading Channels: A Unified Approach to Performance Analysis. New York: John Wiley.
[16]
Proakis J. G. and Salehi M. 2008. Digital Communications. 5th Edit., McGraw-Hill.
[17]
Lazarakis F., Tombras G. S. and Dangakis K. 1994. Average Channel Capacity in a Mobile Radio Environment with Rician Statistics. IEICE Trans. on Communications, E-77B, 7 (July 1994), 971--977.
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- Estimation of radio capacity of a spread spectrum cognitive radio Rayleigh fading system
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September 2013
359 pages
ISBN:9781450319690
DOI:10.1145/2491845
- General Chairs:
- Panayiotis H. Ketikidis,
- Kostas Margaritis,
- Ioannis Vlahavas,
- Program Chairs:
- Alexandros Chatzigeorgiou,
- George Eleftherakis,
- Ioannis Stamelos
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Published: 19 September 2013
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View all- Schaefer FKays R(2015)Frequency Hopping for Indoor Fading Channels With Varying Level of Environmental MobilityIEEE Wireless Communications Letters10.1109/LWC.2014.23654554:1(42-45)Online publication date: Feb-2015
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