Computational efficient SLM–OFDM receiver for time-invariant indoor fading channel
Adegbite, Saheed A. and McMeekin, Scott and Stewart, Brian G. (2017) Computational efficient SLM–OFDM receiver for time-invariant indoor fading channel. Wireless Personal Communications, 97 (1). pp. 661-674. ISSN 0929-6212 (https://doi.org/10.1007/s11277-017-4529-0)
Preview |
Text.
Filename: Adegbite_McMeekin_Stewart_WPC_2017_Computational_efficient_SLM_OFDM_receiver.pdf
Accepted Author Manuscript Download (1MB)| Preview |
Abstract
This paper addresses receiver related side information (SI) estimation issues when selected mapping is used to reduce peak-to-average power ratio in orthogonal frequency division multiplexing (OFDM) systems. The SI contains critical information and its accurate estimation is required to enable successful recovery of payload data regardless of the channel condition. However, the need for SI estimation poses some practical issues in the form of high computational complexity and implementation challenges. Through simulations, this paper investigates the performance of an alternative data decoding approach called Embedded Coded Modulation (ECM), which requires no SI estimation. Using a form of block-type OFDM frame structure, results show that the ECM technique produces identical data decoding performance as other methods even in the presence of some non-linear amplifier distortions. In addition, it is shown that the ECM method eliminates SI related computational complexity and implementation problems.
-
-
Item type: Article ID code: 61046 Dates: DateEvent1 November 2017Published3 June 2017Published Online21 May 2017AcceptedNotes: The final publication is available at Springer via http://dx.doi.org/10.1007/s11277-017-4529-0. The published version November 2017 can be found at the same DOI as above. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 22 Jun 2017 13:48 Last modified: 11 Nov 2024 11:43 URI: https://strathprints.strath.ac.uk/id/eprint/61046