A generalisation of the Rayleigh distribution with applications in wireless fading channels
Author(s) -
GómezDéniz E.,
GómezDéniz L.
Publication year - 2013
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1002/wcm.1097
Subject(s) - rayleigh fading , rayleigh distribution , computer science , fading distribution , rayleigh scattering , keying , wireless , fading , probability density function , phase shift keying , algorithm , inverse gaussian distribution , interference (communication) , bit error rate , telecommunications , distribution (mathematics) , topology (electrical circuits) , mathematics , physics , statistics , channel (broadcasting) , mathematical analysis , optics , combinatorics
The signal received in a mobile radio environment exhibits rapid signal level fluctuations which are generally Rayleigh‐distributed. These result from interference by multiple scattered radio paths between the base station and the mobile receptor. Fading‐shadowing effects in wireless channels are usually modelled by means of the Rayleigh–Lognormal distribution (RL), which has a complicated integral form. The K‐distribution (K) is similar to RL but it has a simpler form and its probability density function admits a closed form; however, due to the Bessel function, parameter estimates are not direct. Another possible approach is that of the Rayleigh‐inverse Gaussian distribution (RIG). In this paper, an alternative is presented, a generalisation of the Rayleigh distribution which is simpler than the RL, K and RIG distributions, and thus more suitable for the analysis and design of contemporary wireless communication systems. Closed‐form expressions for the bit error rate (BER) for differential phase‐shift keying (DPSK) and minimum shift keying (MSK) modulations with the proposed distribution are obtained. Theoretical results based on statistically well‐founded distance measurements validate the new distribution for the cases analysed. Copyright © 2011 John Wiley & Sons, Ltd.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom