Multimedia over Cognitive Radio Networks: Algorithms, Protocols, and Experiments (Hardcover)
暫譯: 認知無線網路中的多媒體:演算法、協議與實驗 (精裝版)

Fei Hu, Sunil Kumar

  • 出版商: CRC
  • 出版日期: 2014-12-03
  • 售價: $3,465
  • 貴賓價: 9.5$3,292
  • 語言: 英文
  • 頁數: 492
  • 裝訂: Hardcover
  • ISBN: 1482214857
  • ISBN-13: 9781482214857
  • 相關分類: Algorithms-data-structuresRadio-networks
  • 立即出貨 (庫存 < 3)

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商品描述

With nearly 7 billion mobile phone subscriptions worldwide, mobility and computing have become pervasive in our society and business. Moreover, new mobile multimedia communication services are challenging telecommunication operators. To support the significant increase in multimedia traffic—especially video—over wireless networks, new technological infrastructure must be created. Cognitive Radio Networks (CRNs) are widely regarded as one of the most promising technologies for future wireless communications. This book explains how to efficiently deliver video, audio, and other data over CRNs.

Covering advanced algorithms, protocols, and hardware-/software-based experiments, this book describes how to encode video in a prioritized way to send to dynamic radio links. It discusses different FEC codes for video reliability and explains how different machine learning algorithms can be used for video quality control. It also explains how to use readily available software tools to build a CRN simulation model.

This book explains both theoretical and experimental designs. It describes how universal software radio peripheral (USRP) boards can be used for real-time, high-resolution video transmission. It also discusses how a USRP board can sense the spectrum dynamics and how it can be controlled by GNU Radio software. A separate chapter discusses how the network simulator ns-2 can be used to build a simulated CRN platform.

商品描述(中文翻譯)

隨著全球近70億的手機訂閱,移動性和計算已經在我們的社會和商業中變得無處不在。此外,新的移動多媒體通信服務正在挑戰電信運營商。為了支持無線網絡上多媒體流量,特別是視頻流量的顯著增加,必須創建新的技術基礎設施。認知無線電網絡(Cognitive Radio Networks, CRNs)被廣泛認為是未來無線通信中最有前景的技術之一。本書解釋了如何高效地通過CRNs傳送視頻、音頻和其他數據。

本書涵蓋了先進的算法、協議以及基於硬體/軟體的實驗,描述了如何以優先級的方式編碼視頻以發送到動態無線電鏈路。它討論了不同的前向糾錯碼(FEC)以提高視頻的可靠性,並解釋了如何使用不同的機器學習算法來進行視頻質量控制。它還解釋了如何使用現成的軟體工具來構建CRN模擬模型。

本書解釋了理論和實驗設計。它描述了如何使用通用軟體無線外圍設備(Universal Software Radio Peripheral, USRP)板進行實時、高解析度的視頻傳輸。它還討論了USRP板如何感知頻譜動態,以及如何通過GNU Radio軟體進行控制。另有一章討論了如何使用網絡模擬器ns-2來構建模擬的CRN平台。