Staffordshire University logo
STORE - Staffordshire Online Repository

Universal Intelligent Small Cell (UnISCell) for Next Generation Cellular Networks

PATWARY, Mohammad and Sharma, Shree Krishna and Chatzinotas, Symeon and Chen, Yunfei and ABDEL-MAGUID, Mohamed and ABD-ALHAMEED, Raed and Noras, James and Otterstenb, Bj¨orn (2016) Universal Intelligent Small Cell (UnISCell) for Next Generation Cellular Networks. Digital Communications and Networks. ISSN 2352-8648 (In Press)

[img]
Preview
Text
Paper_final_UnISCell.pdf - AUTHOR'S ACCEPTED Version (default)
Available under License Creative Commons Attribution (CC-BY).

Download (845kB) | Preview

Abstract or description

Exploring innovative cellular architectures to achieve enhanced system capacity and good coverage has become a critical issue towards realizing the next generation of wireless communications. In this context, this paper proposes a novel concept of Universal Intelligent Small Cell (UnISCell) for enabling the densification of the next generation of cellular networks. The proposed novel concept envisions an integrated platform of providing a strong linkage between different stakeholders such as
street lighting networks, landline telephone networks and future wireless networks, and is universal in nature being independent of the operating frequency bands and traffic types. The main motivating factors for the proposed small cell concept are the need of public infrastructure re-engineering, and the recent advances in several enabling technologies. First, we highlight the main concepts of the proposed UnISCell platform. Subsequently, we present two deployment scenarios for the proposed UnISCell concept considering infrastructure sharing and service sharing as important aspects. We then describe the key future
technologies for enabling the proposed UnISCell concept and present a use case example with the help of numerical results. Finally, we conclude this article by providing some interesting future recommendations.

Item Type: Article
Faculty: Previous Faculty of Computing, Engineering and Sciences > Engineering
Depositing User: Mohammad PATWARY
Date Deposited: 19 Sep 2016 08:56
Last Modified: 05 May 2017 13:28
URI: http://eprints.staffs.ac.uk/id/eprint/2418

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000