The University of Southampton
University of Southampton Institutional Repository

Error vector magnitude analysis of fading SIMO channels relying on MRC reception

Thomas, Varghese Antony, Kumar, Suman, Kalyani, Sheetal, El-Hajjar, Mohammed, Giridhar, K. and Hanzo, Lajos (2016) Error vector magnitude analysis of fading SIMO channels relying on MRC reception IEEE Transactions on Communications, pp. 1-12.

Record type: Article


We analytically characterize the data-aided Error Vector Magnitude (EVM) performance of a Single Input Multiple Output (SIMO) communication system relying on Maximal Ratio Combining (MRC) having either independent or correlated branches that are non-identically distributed. In particular, exact closed form expressions are derived for the EVM in -? fading and -? shadowed fading channels and these expressions are validated by simulations. The derived expressions are expressed in terms of Lauricella’s function of the fourth kind F(N) D (.), which can be easily computed. Furthermore, we have simplified the derived expressions for various special cases such as independent and identically distributed branches, Rayleigh fading, Nakagamim fading and -? fading. Additionally, a parametric study of the EVM performance of the wireless system is presented.

PDF tcomm-hanzo-2530797-proof.pdf - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 12 February 2016
e-pub ahead of print date: 16 February 2016


Local EPrints ID: 390084
PURE UUID: 4bdd149d-a2ec-4a11-8140-15d9d5a29b7b
ORCID for Mohammed El-Hajjar: ORCID iD
ORCID for Lajos Hanzo: ORCID iD

Catalogue record

Date deposited: 18 Mar 2016 11:44
Last modified: 15 Oct 2017 04:58

Export record


Author: Varghese Antony Thomas
Author: Suman Kumar
Author: Sheetal Kalyani
Author: Mohammed El-Hajjar ORCID iD
Author: K. Giridhar
Author: Lajos Hanzo ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.