On the impacts of lognormal-Rice fading on multi-hop extended networks

Author

Bilal Haroon, Muhammad ; Ali Hassan, Syed

Author_Institution

Sch. of Electr. Eng. & Comput. Sci. (SEECS), Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan

fYear

2014

fDate

4-8 Aug. 2014

Firstpage

104

Lastpage

109

Abstract

This paper presents an analytical model for a multi-hop two-dimensional (2-D) network with finite density of nodes communicating with one another by forming an opportunistic large array (OLA). Transmission among these nodes is modeled via Markov Chain, where the wireless channel is considered as a composite lognormal-Rice random process. We approximate the sum distribution of the received power at a node with lognormal random variable (RV) using a moment generating function (MGF)-based approach, which is acquired by using Gauss-Hermite integration. The transition probability matrix is derived to determine the one-hop success probability. Coverage aspects for different arrangement of nodes is quantified along with the effects of wireless channel on system performance.

Keywords

Markov processes; Rician channels; log normal distribution; probability; Gauss-Hermite integration; MGF; Markov chain; OLA; composite lognormal-Rice random process; lognormal random variable; lognormal-Rice fading; moment generating function; multihop extended networks; multihop two-dimensional network; one-hop success probability; opportunistic large array; transition probability matrix; wireless channel; Analytical models; Computational modeling; Fading; Markov processes; Mathematical model; Shadow mapping; Signal to noise ratio; Cooperative Communication; Lognormal-Rice fading; Wireless Sensor Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International

Conference_Location

Nicosia

Print_ISBN

978-1-4799-7324-8

Type

conf

DOI

10.1109/IWCMC.2014.6906340

Filename

6906340