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The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

Anabi, Hilary Kelechi and MOHAMMED, H. ALSHARIF and Athirah, Mohd Ramly and NOR, FADZILAH ABDULLAH and ROSDIADEE, NORDIN (2019) The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review. Energies. ISSN 1996-1073

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Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flexibility compared to prior existing deployed technologies. The scalability dimension caters for meeting rapid demand as new applications evolve. While flexibility complements the scalability dimension by investigating novel non-stacked protocol architecture. The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability. The Four (4) C framework consisting of cost, complexity, cross-layer and computing is hereby analyzed and discussed. The Four (4) C framework discusses several emerging new technologies of software defined network (SDN), network function virtualization (NFV) and fog networking. This review paper will contribute significantly towards the future implementation of flexible and high capacity ultra-low latency 5G communications.

Item Type: Article
Uncontrolled Keywords: 5G; ultra-reliable communication; ultra-low latency; SDN; NFV; MU-MIMO; MM2M; caching; computing; virtualization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 28 Jan 2020 14:23
Last Modified: 28 Jan 2020 14:23

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