Transactions on Emerging Telecommunications Technologies

Cover image for Vol. 27 Issue 2

Edited By: Mischa Dohler

Impact Factor: 1.354

ISI Journal Citation Reports © Ranking: 2013: 31/78 (Telecommunications)

Online ISSN: 2161-3915

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Transactions on Emerging Telecommunications Technologies

Transactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims:

- To attract cutting-edge publications from leading researchers and research groups around the world

- To become a highly cited source of timely research findings in emerging fields of telecommunications - To limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish

- To become the leading journal for publishing the latest developments in telecommunications

You can find out more about the new scope of the Journal by reading the new Aims and Scope

Recently Published Articles

  1. SER analysis of selective DF relaying based OWC system with generalised turbulence

    Nikhil Sharma, Ankur Bansal and Parul Garg

    Article first published online: 12 FEB 2016 | DOI: 10.1002/ett.3026

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    In this paper, we analyse the error performance of selective decode-and-forward based optical wireless communication system utilising subcarrier intensity modulation for arbitrary M-ary signalling over generalised inline image-distributed atmospheric turbulence. The inline image-distribution is a generic statistical model for characterising the atmospheric turbulence-induced fading and unifies several existing statistical models for atmospheric turbulence. In particular, we derive a closed-form expression of the approximate average symbol error rate for the considered system with independent and non-identically distributed optical links. Furthermore, we analytically evaluate the diversity order for various distributions (e.g. gamma–gamma distribution, K-distribution and negative exponential distribution), characterised by the generalised inline image-distribution model. The analytical results have been verified by simulations.

  2. Quality of network economics optimisation using service level agreement modelling

    Germán Santos-Boada, José Roberto de Almeida Amazonas and Josep Solé-Pareta

    Article first published online: 9 FEB 2016 | DOI: 10.1002/ett.3021

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    This paper analyses the relationships between different service level agreement (SLA) components, that is, the different types of quality metrics employed by infrastructure and service providers. We propose that the quality of network economics (QoNE) be used to evaluate the quality of a network path for a given SLA model. Our evaluation indicates the usefulness of the QoNE metric, and it provides a new mechanism for the networking community to address network design problems when incorporating new challenges, such as the Internet of Things

  3. Editorial of ETT Special Issue: emerging topics in device to device communications as enabling technology for 5G systems

    Wei Xiang, Kan Zheng, Dusit Niyato, Leonardo Militano and Giuseppe Araniti

    Article first published online: 9 FEB 2016 | DOI: 10.1002/ett.3023

  4. Multistatic cloud radar systems: joint sensing and communication design

    Seongah Jeong, Shahrouz Khalili, Osvaldo Simeone, Alexander Haimovich and Joonhyuk Kang

    Article first published online: 8 FEB 2016 | DOI: 10.1002/ett.3020

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    Illustration of a multistatic cloud radar system for joint sensing and communication design.

  5. Single-state Q-learning for self-organised radio resource management in dual-hop 5G high capacity density networks

    Tao Jiang, Qiyang Zhao, David Grace, Alister G. Burr and Tim Clarke

    Article first published online: 4 FEB 2016 | DOI: 10.1002/ett.3019

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    In this paper, a dual-hop wireless backhaul and small cell access network has been exploited with effective spectrum sharing to provide 1 Gb/s/km2 ultra-high capacity density for 5G ultra-dense network deployments. We develop a single-state Q-learning-based radio resource management algorithm for dynamic spectrum access creating a self-organized network. The results show that not only does the proposed algorithm completely remove the requirement for frequency planning but it also improves the convergence, Quality of Service and system capacity substantially by achieving higher link capacity on both access and backhaul networks.