Cross-layer spectral efficiency of adaptive communications systems with QoS constraints

A. Saci, A. Shami, A. Al-Dweik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In the literature, the spectral efficiency is considered a key performance indicator that is used to classify various communications systems, algorithms, and techniques. However, the classification is typically performed while assuming that all systems have a static structure, and without considering the quality of service (QoS) requirements or the constraints imposed by the system design. Therefore, this work presents a new reliable and accurate approach to evaluate the spectral efficiency of communications systems while considering the system dynamics, QoS requirements and design constraints. To demonstrate its effectiveness, the proposed approach is used to evaluate the spectral efficiency of various blind and pilot-aided channel estimation and synchronization algorithms. The obtained results reveal that the spectral efficiency depends on several system variables such the signal-to-noise ratio (SNR), QoS requirements, system constraints, and the channel characteristics. Contrary to what is usually believed, the obtained results show that pilot-aided systems can be more spectrally efficient than blind systems for several cases of interest.

Original languageBritish English
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509059355
DOIs
StatePublished - 8 Feb 2018
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: 24 Sep 201727 Sep 2017

Publication series

NameIEEE Vehicular Technology Conference
Volume2017-September
ISSN (Print)1550-2252

Conference

Conference86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/TerritoryCanada
CityToronto
Period24/09/1727/09/17

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