Optimizing the energy efficiency of OFDM with index modulation

Miaowen Wen, Xiang Cheng, Liuqing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

Abstract

Spatial modulation (SM) is a promising single frequency-radio (RF) large-scale multiple-input multiple-output (MIMO) technique which can strike an attractive tradeoff between spectral efficiency (SE) and energy efficiency (EE) of a wireless network. Recently, a novel technique termed as orthogonal frequency division multiplexing with index modulation (OFDM-IM) emerges, where the SM principle is applied to OFDM subcarriers. It is revealed that OFDM-IM has the potential to outperform classical OFDM in terms of uncoded bit error rate (BER). In this paper, the EE of OFDM-IM with finite-alphabet input is analyzed from an information-theoretic perspective. Based on the analytical expression, the optimal strategy in maximizing the EE of OFDM-IM is proposed, which involves the optimal subcarrier grouping approach as well as the optimal selection of the number of active subcarriers. Monte-Carlo simulations validate the analysis.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages31-35
Number of pages5
ISBN (Electronic)9781479958320
DOIs
StatePublished - Jan 27 2014
Externally publishedYes
Event2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 - Macau, China
Duration: Nov 19 2014Nov 21 2014

Publication series

Name2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014

Conference

Conference2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
Country/TerritoryChina
CityMacau
Period11/19/1411/21/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Fingerprint

Dive into the research topics of 'Optimizing the energy efficiency of OFDM with index modulation'. Together they form a unique fingerprint.

Cite this