Mobile radio with fuzzy cell boundaries

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The K-μ Distribution: A General Fading Distribution

This paper presents a general fading distribution - the κ-μ Distribution - that includes the Rice and the Nakagamim distributions as special cases. Therefore the One-Sided Gaussian and the Rayleigh distributions also constitute special cases and the Lognormal distribution may be well-approximated by the κ-μ Distribution. Preliminary results show that the κ-μ Distribution provides a very good fitting to experimental data.354ND14271431Braun, W.R., Dersch, U., A physical mobile radio channel model (1991) IEEE Trans. Veh. Technol., 40 (2), pp. 472-482. , MayTurin, G.L., Introduction to spread-spectrum antimultipath techniques and their application to urban digital radio (1980) Proc. IEEE, 68 (3), pp. 328-353. , MarchSuzuki, H., A statistical model for urban radio propagation (1977) IEEE Trans. Commun., 25 COM (7), pp. 673-679. , JulyParsons, J.D., (1992), The Mobile Radio Channel, New York: Halsted PressStein, S., Fading channel issues in system engineering (1987) IEEE J. Selected Areas in Commun., 5 (2), pp. 68-69. , FebYacoub, M.D., The n-μ distribution: A general fading distribution IEEE Vehicular Technology Conference, Fall 2000, Boston, 2000Abramowitz, M., Stegun, I.A., (1972) Handbook of Mathematical Functions, , US Dept. of Commerce, National Bureau of Standards, Applied Mathematics SeriesNakagami, M., The m-distribution - a general formula of intensity distribution of rapid fading, in statistical methods in radio wave propagation (1960), W.C. Hoffman, Ed. Elmsford, NY: Pergamo

The α-μ Distribution: A General Fading Distribution

This paper presents a general fading distribution - the α-μ Distribution - that includes the Nakagami-m and the Weibull as special cases. One-Sided Gaussian, Rayleigh, and Negative Exponential distributions are also special cases of the α-μ Distribution. ©2002 IEEE.2629633Turin, G.L., Introduction to spread-spectrum antimultipath techniques and their application to urban digital radio (1980) Proc. IEEE, 68 (3), pp. 328-353. , MarchBraun, W.R., Dersch, U., A physical mobile radio channel model (1991) IEEE Trans. Veh. Technol., 40 (2), pp. 472-482. , MayParsons, J.D., (2000) The Mobile Radio Channel, p. 1. , 2nd Edition, John Wiley &ampSons, ChichesterStein, S., Fading channel issues in system engineering (1987) IEEE J. Selected Areas in Commun., 5 (2), pp. 68-69. , FebYacoub, M.D., The η-μ distribution: A general fading distribution IEEE Vehicular Technology Conference - Fall 2000, Boston, 2000Yacoub, M.D., The κ-μ distribution: A general fading distribution IEEE Vehicular Technology Conference - Fall 2001, Atlantic City, 2001Nakagami, M., (1960) The M-distribution - A General Formula of Intensity Distribution of Rapid Fading, in Statistical Methods in Radio Wave Propagation, , W. C. Hoffman, Ed. Elmsford, NY: Pergamo

New Set Of Channel Allocation Algorithms Providing A Smooth Transition From Fully Dynamic To Totally Fixed

A set of three allocation algorithms is proposed and analyzed. As opposed to a number of allocation algorithms, whose performance is greatly dependent on the traffic profile, these techniques are dynamically adaptable to the change of the traffic load, combining the features of dynamic channel allocation and fixed channel allocation, migrating smoothly from one to another technique to give the best performance in any circumstances. Although the proposed strategies assign the channels in a fully dynamic fashion, this is carried out in a disciplined way so that channels are packed into reuse groups and the reuse distance is kept to a minimum, increasing the reuse efficiency.122143151Zhang, M., Yum, T.S., Comparison of channel assignment strategies in cellular mobile telephone systems (1989) IEEE Trans. Veh. Technol., 38 (4), pp. 211-215Katzela, I., Naghshineh, M., Channel assignment schemes for cellular mobile telecommunication systems, a comprehensive survey (1996) IEEE Personal Commun., 3 (3), pp. 10-31Yacoub, M.D., Cattermole, K.W., Alternative routing strategies for adjacent cells in mobile radio systems (1995) IEE Proc.-Commun., 142 (2), pp. 115-120Shinoda, A.A., Yacoub, M.D., Combined techniques for channel allocation algorithms in mobile radio systems (1997) IEE Proc.-Commun., 144 (3), pp. 205-210Cox, D.C., Reudink, D.O., Increasing channel occupancy in large-scale mobile radio systems: Dynamic channel reassignment (1973) IEEE Trans. Commun., COM-21 (11), pp. 1302-1306Engel, J.S., Peritsky, M.M., Statistically-optimum dynamic server assignment in systems with interfering servers (1973) IEEE Trans. Veh. Technol., VT-22 (4), pp. 203-209Anderson, L.G., A simulation study of some dynamic assignment algorithm in a high capacity mobile telecommunication system (1973) IEEE Trans. Commun., COM-21 (11), pp. 1294-1301Elnoubi, S.M., Singh, R., Gupta, S.C., A new frequency channel assignment algorithm in high capacity mobile communication systems (1982) IEEE Trans. Veh. Technol., VT-31 (3), pp. 125-131Shinoda, A.A., (1996) Channel Allocation Algorithms in Wireless Communications Systems, , PhD Thesis, University of CampinasSallberg, K., Stavenow, B., Eklundh, B., Hybrid channel assignment and reuse partitioning in cellular mobile telephone system (1987) 37th IEEE Vehicular Technology Conf., pp. 405-41

An Analytical Approach For Dimensioning Wireless Multihop Networks

The tradeoff between maximizing the number of transmissions and reducing total interference is the main problem about dimensioning wireless multihop networks. In this paper, we derive an analytical solution for the calculation of outage probability in a wireless multihop network. The outage probability is the probability of a transmission between two nodes may not be established because there is no available channels along a specific route or the signal-to-interference ratio is below a specified threshold. The proposed solution is compared with simulations, and an excellent agreement is attained. © 2007 IEEE.46874691Gupta, P., Kumar, P.R., The Capacity of Wireless Networks (2000) IEEE Trans. Inf. Theory, 46 (2), pp. 388-404. , MarGallego, D.M., de Medeiros, A.A.M., Cardieri, P., Yacoub, M.D., Seo, C., Leonardo, E.J., Capacity and QoS of Wireless Mesh Networks (2005) 4th International Information and Telecommunication Technologies Symposium, I2TS'05, , DecFuternik, A., Haimovich, A.M., Papavassiliou, S., An Analytical Model for Measuring QoS in Ad-Hoc Wireless Networks (2003) IEEE GLOBECOM '03, pp. 216-220. , DecGugrajah, Y., Takawira, F., Analytical Model for Evaluating Blocking Probability in Wireless Ad Hoc Networks (2002) 6th Africou Conference in Africa IEEE AFRICON, pp. 277-282. , OctZafer, M., Modiano, E., Blocking Probability and Channel Assignment in Wireless Networks (2006) IEEE Trans. Wireless Commun, 5 (4), pp. 869-879Chung, S.P., Ross, K.W., Reduced Load Approximations for Multirate Loss Networks (1993) IEEE Trans. Commun, 41 (8), pp. 1222-1231Keffer, N.F., Cochannel Interference and Alternative Routing Techniques (in Portuguese), (1997), Ph.D. dissertation, State University of Campinas, Electrical and Computing Engineering FacultyKumar, A., Manjunath, D., Kuri, J., (2004) Communication Networking: An Analytical Approach, , Morgan KaufmanGarcia, N.L., Marie, N., Existence and Perfect Simulation of One-Dimensional Loss Networks (2006) Stochastic Processes and their Applications, 116 (12), pp. 1920-1931. , De

On The Multivariate Nakagami-m Distribution With Arbitrary Correlation And Fading Parameters

In this paper, a new closed-form formula for the multivariate Nakagami-m joint probability density function (PDF) generated from correlated Gaussian random variables is derived allowing for an arbitrary correlation matrix and different fading parameters. The formulation is general and exact and contains all of the other joint Nakagami-m PDFs published in the literature. © 2007 IEEE.812816Blumenson, L.E., Miller, K.S., Properties of Generalized Rayleigh Distributions (1963) Annu. Math. Statist, 34, pp. 903-910Li, Y., Tjhung, T.T., Adachi, F., Performance of DS-CDMA in Correlated Rayleigh-Fading Channel with Rake Combining (2000) VTC 2000 - Vehicular Technology Conference, pp. 785-789Malik, R.K., On Multivariate Rayleigh and Exponential Distributions (2003) IEEE Trans. Inf. Theor, 49 (6), pp. 1499-1515. , JunKaragiannidis, G.K., Zogas, D.S., Kotsopoulos, S.A., On the mulivariate Nakagami-m distribution with exponencial correlation (2003) IEEE Trans. Commun, 51, pp. 1240-1244. , AugKaragiannidis, G.K., Zogas, D.S., Kotsopoulos, S.A., An Efficient Aproproach to mulivariate Nakagami-m distribution using Green's Matrix Approximation (2003) IEEE Trans. Wireless Commun, 2 (5), pp. 883-889. , SepUgweje, O.C., Aalo, V.A., Performance of Selection Diversity System in Correlated Nakagami Fading (1997) Proc. IEEE Veh. Technol. Conf. (VTC'97), pp. 1448-1492. , IEEE, MayRubio, L., Cardona, N., Flores, S., Reig, J., Juan-Llacer, L., The use of semi-deterministic propagation models for the prediction of the short-term fading statistics in mobile channels (1999) Proc. VTC'99, 3, pp. 1460-1464. , FallReig, J., Rubio, L., Cardona, N., Bivariate Nakagami-m distribution with arbitrary fading parameters (2002) IEE Electronics Letters, 38 (25). , 1715-1716, 5 th DecRausley, A., de Souza, A., Yacoub, M.D., Bivariate Nakagami-m Distribution With Arbitrary Fading Parameters (2007) IEEE Communications Letters, , SubmittedNakagami, M., The m-Distribution - A General Formula of Intensity Distribution of Rapid Fading (1960) Statistical Methods in Radio Wave PropagationGradshteyn, I., Ryzhik, I., (1980) Tables of Integrals, Series, and Products, , Academic Press, New YorkKrishnammoorthy, A.S., Parthasarathy, M., A multivariate Gamma-Type Distribution (1951) Annuals of Americal MathematichsAbramowitz, M., Stegun, I.A., (1972) Handbook of Mathematical Functions, , Dover, New YorkSchwartz, M., Bennett, W.R., Stein, S., (1966) Communication Systems and Techniques, , McGraw-Hill, New Yor

A Simple And Accurate α-μ Approximation To Crossing Rates In Egc And Mrc Receivers Undergoing Nakagami-m Fading

In this paper, using an approach based on moment estimators, we propose highly accurate closed-form approximations for the level crossing rate of multibranch equal-gain and maximal-ratio combiners operating on independent non-identically distributed Nakagami-m fading channels. As the exact solutions, for both combiners, are given in terms of multifold integrals, our approximate results provide more ef.ciency of the computational point of view, mainly when the number of diversity branches increases. Some numerical plots are depicted and a very good agreement is ascertained between the analytical and approximate curves. © 2007 IEEE.795798Jakes, W.C., (1974) Microwave Mobile Communications, , New York: WileyBrennan, D.G., Linear diversity combining techniques (1959) In IRE, 47, pp. 1075-1102. , JunFraidenraich, G., Santos Filho, J.C.S., Yacoub, M.D., Second-order statistics of maximal-ratio and equal-gain combining in Hoyt fading (2005) IEEE Commun. Lett, 9 (1). , JanFraidenraich, G., Yacoub, M.D., Santos Filho, J.C.S., Second-order statistics of maximal-ratio and equal-gain combining in Weibull fading (2005) IEEE Commun. Lett, 9 (6), pp. 499-501. , JunYacoub, M.D., da Silva, C.R.C.M., Bautista, J.E.V., Secondorder statistics for diversity-combining techniques in Nakagami-fading channels (2001) IEEE Trans. Veh. Technol, 50 (6), pp. 1464-1470. , NovIskander, C.-D., Mathiopoulus, P.T., Analytical level crossing rates and average fade durations for diversity techniques in Nakagami fading channels (2002) IEEE Trans. Commun, 50 (8), pp. 1301-1309. , Augda Costa, D.B., Yacoub, M.D., Fraidenraich, G., Second-order statistics of equal-gain and maximal-ratio combining for the α-μ (Generalized Gamma) fading distribution (2006) IEEE International Symposium on Spread Spectrum Techniques and Applications, , Manaus, Brazil, Augda Costa, D.B., Santos Filho, J.C.S., Yacoub, M.D., Fraidenraich, G., Crossing rates and fade durations for diversity-combining techniques over α-μ fading channels (2007) Accepted for publication in IEEE Trans. Wirel. CommunNakagami, M., The m-distribution - A general formula of intensity distribution of rapid fading (1960) Statistical Methods in Radio Wave Propagation, , W. C. Hoffman, Ed. Elmsford, NY: PergamonYacoub, M.D., Bautista, J.E.V., Guedes, L.G.R., On high order statistics of the Nakagami-m distribution (1999) IEEE Trans. Veh. Technol, 48 (3), pp. 790-793. , MayYacoub, M.D., The α-μ distribution: A general fading distribution. IEEE Inter. Symp. on Personal, Indoor and Mobile Radio Commun (2002) PIMRC, 2, pp. 629-633. , SepYacoub, M.D., The α-μ distribution: A physical fading model for the Stacy distribution (2007) IEEE Trans. Veh. Technol, 56 (1), pp. 27-34. , Janda Costa, D.B., Yacoub, M.D., Santos Filho, J.C.S., An improved closed-form approximation to the sum of arbitrarily distributed Nakagami-m variates (2007), Submitted for publicationS. O. Rice. Statistical properties of random noise currents. Selected Papers on Noise and Stochastic Processes, pages 133-114, 1954. N. Wax. Ed. New York:Dove