Fluid net a flexible cloud based radio access network for small cells

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Fluid net a flexible cloud based radio access network for small cells +91-9994232214,7806844441, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2016-2017 ----------------------------------- Contact:+91-9994232214,+91-7806844441 Email: ieeeprojectchennai@gmail.com

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FluidNet: A Flexible Cloud-Based Radio Access Network for Small Cells
Abstract:
Cloud-based radio access networks (C-RAN) have been proposed as a cost-
efficient way of deploying small cells. Unlike conventional RANs, a C-RAN
decouples the baseband processing unit (BBU) from the remote radio head (RRH),
allowing for centralized operation of BBUs and scalable deployment of light-
weight RRHs as small cells. In this work, we argue that the intelligent
configuration of the front-haul network between the BBUs and RRHs, is essential
in delivering the performance and energy benefits to the RAN and the BBU pool,
respectively. We propose FluidNet-a scalable, light-weight framework for realizing
the full potential of C-RAN. FluidNet deploys a logically re-configurable front-haul
to apply appropriate transmission strategies in different parts of the network and
hence cater effectively to both heterogeneous user profiles and dynamic traffic
load patterns. FluidNet's algorithms determine configurations that maximize the
traffic demand satisfied on the RAN, while simultaneously optimizing
the compute resource usage in the BBU pool. We prototype FluidNet on a 6 BBU,
6 RRH WiMAX C-RAN testbed. Prototype evaluations and large-scale simulations
reveal that FluidNet's ability to re-configure its front-haul and tailor transmission
strategies provides a 50% improvement in satisfying traffic demands, while
reducing the compute resource usage in the BBU pool by 50% compared to
baseline schemes.

This document proposes two power optimization techniques for wireless fronthauls in cloud radio access networks (C-RAN) that minimize energy consumption at remote radio heads while satisfying quality of service constraints. It derives a closed-form upper bound on system block error rate via union bound analysis. Then, it proposes adaptive transmission schemes and practical power optimizations based on both block error rate and pair-wise error probability to reduce energy use at remote radio heads while meeting a predefined non-zero block error rate quality of service requirement.

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Service description in the nfv revolution trends, challenges and a way forward

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The telecommunications landscape is undergoing major changes with the introduction of SDN and NFV, which allow new ways of designing networks and deploying network functions. Accurately describing the services to be provided is crucial for integrating and ensuring interoperability between different NFV proposals. However, fully realizing the benefits of NFV presents unique challenges that the current service description proposals do not fully address. This paper reviews current NFV service description proposals, identifies key challenges, and proposes a straw man model for service and resource description that could guide future initiatives in addressing these challenges.

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