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| Content Provider | ACM Digital Library |
|---|---|
| Author | Rangarajan, Sampath Krishnamurthy, Srikanth V. Sundaresan, Karthikeyan Singh, Shailendra Arslan, Mustafa Y. |
| Copyright Year | 2016 |
| Description | Author Affiliation: NEC Laboratories America Inc., Mobile Communications and Networking, Princeton(Nec labs america, Broadband and Mobile Networking, Princeton (Rangarajan, Sampath; Krishnamurthy, Srikanth V.); University of california of riverside, Riverside (Singh, Shailendra; Arslan, Mustafa Y.); Sundaresan, Karthikeyan) |
| 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 $\textit{FluidNet}---a$ scalable, light-weight framework for realizing the full potential of C-RAN. $\textit{FluidNet}$ 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. $\textit{FluidNet}'s$ 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 $\textit{FluidNet}$ on a 6 BBU, 6 RRH WiMAX C-RAN testbed. Prototype evaluations and large-scale simulations reveal that $\textit{FluidNet}'s$ 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. |
| Starting Page | 915 |
| Ending Page | 928 |
| Page Count | 14 |
| File Format | |
| ISSN | 10636692 |
| Volume Number | 24 |
| Issue Number | 2 |
| Journal | IEEE/ACM Transactions on Networking (TON) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-04-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | DAS FFR Cellular Cloud RAN Front-haul |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Networks and Communications Software Computer Science Applications |
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