一種結合雲端運算的感知無線電參數估測架構RADIO SYSTEM AND OPERATING METHOD OF THE SAME

專利類型

發明

專利國別 (專利申請國家)

美國

專利申請案號

13/445,930

專利證號

US 9,084,121 B2

專利獲證名稱

一種結合雲端運算的感知無線電參數估測架構RADIO SYSTEM AND OPERATING METHOD OF THE SAME

專利所屬機關 (申請機關)

國立交通大學

獲證日期

2015/07/14

技術說明

在這一篇報告中，我們提出了感知雲網路(Cognitive Radio Cloud Network, CRCN)在電視空白頻譜上的應用。在這樣的架構下，我們使用合作式的頻譜偵測結合了雲端運算以及儲存能力，提供能夠能在大尺度下的通訊網路運作。根據我們所蒐集到微軟雲端平台(Windows Azure)的資料，我們利用一稀疏貝氏估測演算法(Bayesian Sparse Learning algorithm)根據分散蒐集的功率分布資訊，估測出優先權使用者(Primary User)的功率分布。為了增進演算法的效率，基於MapReduce和dotNet 4.0的架構，提出多階層的平行化架構。 A Cognitive Radio Cloud Network (CRCN) in TV White Spaces (TVWS) is proposed in this patent. Under the infrastructure of CRCN, cooperative spectrum sensing (SS) and resource scheduling in TVWS can be efficiently implemented making use of the scalability and the vast storage and computing capacity of the Cloud. Based on the sensing reports collected on the Cognitive Radio Cloud (CRC) from distributed secondary users (SUs), we study and implement a sparse Bayesian learning (SBL) algorithm for cooperative SS in TVWS using Microsoft’s Windows Azure Cloud platform. A database for the estimated locations and spectrum power profiles of the primary users are established on CRC with Microsoft’s SQL Azure. Moreover to enhance the performance of the SBL-based SS on CRC, a hierarchical parallelization method is also implemented with Microsoft’s dotNet 4.0 in a MapReduce-like programming model.

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