Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks


Soaring capability and coverage demands dictate that future cellular networks would like to migrate soon toward ultra-dense networks. But, network densification comes with a number of challenges that include compromised energy efficiency, advanced interference management, cumbersome mobility management, burdensome signaling overheads, and better backhaul prices. Curiously, most of the issues that beleaguer network densification stem from legacy networks' one common feature, i.e., tight coupling between the control and knowledge planes no matter their degree of heterogeneity and cell density. Consequently, in wake of 5G, management and information planes separation design (SARC) has recently been conceived as a promising paradigm that has potential to handle most of the aforementioned challenges. In this survey, we have a tendency to review various proposals that are presented within the literature so way to enable SARC. More specifically, we tend to analyze how and to what degree varied SARC proposals address the four main challenges in network densification, specifically: energy efficiency, system level capability maximization, interference management, and mobility management. We tend to then target two salient features of future cellular networks that have not nonetheless been custom-made in legacy networks at wide scale and so stay a trademark of 5G, i.e., coordinated multipoint (CoMP) and device-to-device (D2D) Communications. Once providing necessary background on CoMP and D2D, we tend to analyze how SARC will notably act as a major enabler for CoMP and D2D in context of 5G. This text therefore serves as both a tutorial and an up-to-date survey on SARC, CoMP, and D2D. Most importantly, this survey provides an intensive outlook of challenges and opportunities that lie at the crossroads of those three mutually entangled rising technologies.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Automated Method for Retinal Artery Vein Separation via Graph Search Metaheuristic Approach ABSTRACT: Identifying retinal biomarkers linked with systemic and neurodegenerative illnesses requires the separation
PROJECT TITLE : Windowed State-Space Filters for Signal Detection and Separation - 2018 ABSTRACT: This Project introduces a toolbox for model-primarily based detection, separation, and reconstruction of signals that
PROJECT TITLE :Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation - 2018ABSTRACT:Joint blind supply separation (J-BSS) is an rising knowledge-driven technique for multi-set information-fusion. In
PROJECT TITLE :Application of Manifold Separation to Parametric Localization for Incoherently Distributed Sources - 2018ABSTRACT:By using the manifold separation technique (MST), we develop a computationally efficient nonetheless
PROJECT TITLE :Control-Data Separation With Decentralized Edge Control in Fog-Assisted Uplink Communications - 2018ABSTRACT:Fog-aided network architectures for 5G systems encompass wireless edge nodes, known as remote radio systems

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry