University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A Generalized Bit Error Rate Evaluation for Index Modulation Based OFDM System

Abdullahi, Mahmoud, Cao, Aijun, Zafar, Adnan, Xiao, Pei and Hemadeh, Ibrahim (2020) A Generalized Bit Error Rate Evaluation for Index Modulation Based OFDM System IEEE Access.

[img]
Preview
Text
FINAL_Article.pdf - Accepted version Manuscript

Download (513kB) | Preview

Abstract

Orthogonal frequency division multiplexing (OFDM-IM) is a multicarrier transmission technology that modulates information bits not just onto subcarriers by means of Mary constellation mapping but also onto selected (active) subcarrier indices. Consequently, errors can occur in OFDMIM systems indices in addition to the errors of M-ary symbols. This paper analyzes the error scenarios and derives mathematical expressions for the error performance based on the maximum likelihood (ML) detection. In evaluating the bit error rate (BER) in the additive white Gaussian noise (AWGN) channel, some assumptions are made and our analytical result show that the BER of OFDM-IM system is a weighted sum of exponential functions and Q-functions. Our general BER expression has been shown to be in excellent agreement with numerical simulation and proven to be accurate and can serve as a reference for the design and evaluation of any arbitrary size and configuration of OFDM-IM systems.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Abdullahi, Mahmoudm.abdullahi@surrey.ac.uk
Cao, Aijunac00281@surrey.ac.uk
Zafar, Adnan
Xiao, PeiP.Xiao@surrey.ac.uk
Hemadeh, Ibrahimi.hemadeh@surrey.ac.uk
Date : 21 January 2020
Uncontrolled Keywords : Index modulation, OFDM, maximum likelihood detection, probability density function, BER analysis
Depositing User : James Marshall
Date Deposited : 10 Feb 2020 17:03
Last Modified : 10 Feb 2020 17:03
URI: http://epubs.surrey.ac.uk/id/eprint/853710

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800