NeTS: Small: Demand-Aware Dynamic Virtual Base Station Provisioning and Allocation in Cloud Radio Access Networks (C-RANs)

在过去几年中，个人移动计算设备的激增以及大量数据密集型移动应用程序导致对无处不在的高数据速率无线通信的需求急剧增加。为了满足不断增长的容量需求而额外部署和维护大量独立蜂窝基站（BSs）的效率非常低，因为资本和运营支出过高。目前，多个无线接入网（ran）是静态配置和部署的，每个无线接入网由地理上邻近的BSs组成；但是，这种方法没有任何余地来处理由于不断变化的移动应用程序环境和突发事件（如紧急情况）而导致的容量需求波动。云- ran （C-RAN）由分布在广泛地理区域的远程无线电单元（rru）组成，由集中BS池中的远程虚拟基站（VBSs）控制，是一种有效解决容量需求波动的宽带无线接入新范例。本研究的重点是设计一个动态可重构的蜂窝通信系统，该系统依赖于弹性vbs，它可以动态调整大小以满足每个用户容量需求的波动。这种弹性可以提高c - ran中的用户服务质量（QoS）以及能源和计算资源利用率。但是，虚拟机（VM）发放，即确定？大小？如何将承载vbs的虚拟机分配给物理服务器，是一项非同小可的挑战。该项目的任务包括设计和开发(i)需求感知动态VM配置算法，该算法依赖于软件中实现的通信功能的计算复杂性和内存占用的离线分析；（ii）基于qos的虚拟机分配算法，该算法利用VBS协同定位模型；（iii）虚拟化企业级服务器上的C-RAN测试平台，通过仿真活动验证分析和分配解决方案。这项工作将培养具有计算机知识的本科生和研究生研究人员，他们对节能设计和计算资源管理有全面的了解。该项目将创建弹性资源分配的新教学模块，为交流项目提供机会，利用罗格斯大学现有的少数族裔学生拓展网络，并纳入学生交流项目。

The proliferation of personal mobile computing devices along with a plethora of data-intensive mobile applications has resulted in a tremendous increase in demand for ubiquitous and high-data-rate wireless communications over the last few years. Additional deployment and maintenance of a large number of stand-alone cellular Base Stations (BSs) to meet the growing capacity demand are highly inefficient due to excessive capital and operating expenditures. Presently, multiple Radio Access Networks (RANs), each composed of geographically proximal BSs, are statically configured and deployed; such an approach, however, does not allow for any margin to handling the fluctuations in capacity demands due to the ever transforming mobile applications landscape and unexpected events such as emergencies. Cloud-RAN (C-RAN), composed of Remote Radio Units (RRUs) distributed over a wide geographic region controlled by remote Virtual Base Stations (VBSs) housed in centralized BS pools, is a new paradigm for broadband wireless access to address the fluctuation in capacity demand efficiently.This research focuses on designing a dynamic reconfigurable cellular communication system that relies on elastic VBSs, which can be dynamically resized to meet the fluctuations in per-user capacity demands. This elasticity enables improvements in user Quality of Service (QoS) and efficiency in energy and computing resource utilization in C-RANs. However, Virtual Machine (VM) provisioning, i.e., determining the ?size? of VMs that hold VBSs, as well as appropriate allocation of VMs to physical servers are non-trivial challenges. The tasks of this project consist in the design and development of (i) a demand-aware dynamic VM provisioning algorithm that relies on an offline profiling of the computational complexity and memory footprint of the communication functionalities implemented in software; (ii) a QoS-aware VM allocation algorithm that exploits VBS co-location models; (iii) a C-RAN testbed on virtualized enterprise-class servers for validation of the profiling and allocation solutions through emulation campaigns.This work will generate computer-literate undergraduate and graduate researchers with a comprehensive knowledge of energy-efficient design and management of computing resources. The PI will create new teaching modules on elastic resource allocation, provide opportunities for exchange programs, leverage existing minority student outreach networks at Rutgers University, and incorporate student exchange programs.