Efficient Online Incentive Mechanism Designs for Wireless Communications

Li, Gang, Cai, Jun

Efficient Online Incentive Mechanism Designs for Wireless Communications
  • 出版商: Springer
  • 出版日期: 2024-05-28
  • 售價: $2,380
  • 貴賓價: 9.5 折 $2,261
  • 語言: 英文
  • 頁數: 110
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 303158452X
  • ISBN-13: 9783031584527
  • 相關分類: Wireless-networks

    • 海外代購書籍(需單獨結帳)

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商品描述

This book initially delves into its fundamentals to initiate the exploration of online incentive mechanisms in wireless communications. Three case studies are provided to elaborate details on designing online mechanism design in practical system. For crowdsensing with random task arrivals, this book introduces a linear online incentive mechanism model with insurance of the quality of information for each incoming task. In the context of edge computing systems, the authors model a nonlinear online incentive mechanism with the consideration of mobile users' energy budget constraints. It also explores online incentive mechanism for collaborative task offloading in mobile edge computing to achieve on-arrival instant responses. This book not only disseminates current knowledge but also sheds light on future research directions.

The design of incentive mechanisms in wireless communication systems is of paramount importance as it encourages dormant terminals within networks to contribute their valuable resources. The consideration of randomness of network processes enhances the mechanism design under online settings and decision making on the fly. This book endeavours to bridge existing knowledge gaps by comprehensively presenting and developing fundamental insights into online incentive mechanisms and their design methods in the realm of wireless communications. It's one of the first books to provide a comprehensive understanding of the fundamental principles of online incentive mechanisms and their intricately designed methods in the dynamic world of wireless communications. Future research directions include an investigation in the evolving domain of online incentive mechanism designs within wireless communications.

This book strikes a balance between theoretical knowledge and practical application, making it a valuable resource for both researchers and practitioners in the field of wireless communications and network economics. Advanced-level students majoring in computer science and/or electrical engineering will want to purchase this book as a study guide.

商品描述(中文翻譯)

本書最初探討其基本原理，以啟動對無線通信中在線激勵機制的探索。提供了三個案例研究，以詳細說明在實際系統中設計在線機制的細節。針對隨機任務到達的群眾感知，本書介紹了一個線性在線激勵機制模型，確保每個進來任務的信息質量。在邊緣計算系統的背景下，作者建模了一個非線性在線激勵機制，考慮到移動用戶的能量預算限制。本書還探討了在移動邊緣計算中協作任務卸載的在線激勵機制，以實現即時響應。本書不僅傳播當前知識，還為未來的研究方向提供了啟示。

在無線通信系統中設計激勵機制至關重要，因為它鼓勵網絡中的閒置終端貢獻其寶貴資源。考慮到網絡過程的隨機性，增強了在線環境下的機制設計和即時決策。本書努力填補現有的知識空白，全面呈現並發展對無線通信領域在線激勵機制及其設計方法的基本見解。這是首批提供在線激勵機制基本原則及其在無線通信動態世界中精心設計方法的綜合理解的書籍之一。未來的研究方向包括對無線通信中在線激勵機制設計不斷演變領域的調查。

本書在理論知識和實踐應用之間取得了平衡，成為無線通信和網絡經濟學領域研究人員和實務工作者的寶貴資源。主修計算機科學和/或電機工程的高級學生將希望購買本書作為學習指南。

作者簡介

Gang Li (S'19-M'22) received the Ph.D. degree from the Concordia University, QC, Canada, in 2022, and the M.S. degree in information and communication systems with the Guilin University of Electronic Technology, Guilin, China, in 2016. Since Mar. 2024, he is with the College of Computer Science, Inner Mongolia University, Hohhot, China, where he is currently a full research professor. From Jun 2022 to Feb. 2024, he was with the School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan, China. He was awarded the International Graduate Student Scholarship from University of Manitoba in 2018, and was the recipient of Concordia International Tuition Award of Excellence for 2019-2020. His current research interests include online algorithm, mechanism design, machine learning, and their applications in federated learning, edge computing, B5G.


Jun Cai received the Ph.D. degree from the University of Waterloo, ON, Canada, in 2004. From June 2004 to April 2006, he was with McMaster University, Canada, as a Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellow. From July 2006 to December 2018, he has been with the Department of Electrical and Computer Engineering, University of Manitoba, Canada, where he was a full Professor and the NSERC Industrial Research Chair. Since January 2019, he has joined the Department of Electrical and Computer Engineering, Concordia University, Canada, as a full Professor and the PERFORM Centre Research Chair. His current research interests include edge/fog computing, ehealth, radio resource management in wireless communication networks, and performance analysis. Dr. Cai served as the General Chair of BSC 2023 and Technical Program Committee (TPC) Co-Chair for IEEE GreenCom 2018. He also serviced Track/Symposium TPC Co-Chair for several conferences, including IEEE VTC-Fall 2020, 2019, 2012, IEEE CCECE 2017, IEEE Globecom 2010, and IWCMC 2008. He also served on the editorial board of IEEE Internet of Things Journal, IEEE Wireless Communications Magazine, IEEE Systems Journal, and Wireless Communications and Mobile Computing.

作者簡介(中文翻譯)

Gang Li (S'19-M'22) 於 2022 年獲得加拿大魁北克省康考迪亞大學的博士學位，並於 2016 年獲得中國桂林電子科技大學的資訊與通信系統碩士學位。自 2024 年 3 月起，他在中國呼和浩特的內蒙古大學計算機科學學院任職，目前擔任全職研究教授。從 2022 年 6 月到 2024 年 2 月，他在中國武漢的武漢紡織大學電子與電氣工程學院工作。他於 2018 年獲得曼尼托巴大學的國際研究生獎學金，並於 2019-2020 年獲得康考迪亞國際優秀學費獎。其目前的研究興趣包括在線算法、機制設計、機器學習及其在聯邦學習、邊緣計算、B5G 中的應用。

Jun Cai 於 2004 年獲得加拿大安大略省滑鐵盧大學的博士學位。從 2004 年 6 月到 2006 年 4 月，他在加拿大麥克馬斯特大學擔任自然科學與工程研究理事會 (NSERC) 的博士後研究員。從 2006 年 7 月到 2018 年 12 月，他在加拿大曼尼托巴大學的電氣與計算機工程系任職，擔任全職教授及 NSERC 工業研究主席。自 2019 年 1 月起，他加入加拿大康考迪亞大學的電氣與計算機工程系，擔任全職教授及 PERFORM 中心研究主席。他目前的研究興趣包括邊緣/霧計算、電子健康、無線通信網絡中的無線資源管理及性能分析。Cai 博士曾擔任 BSC 2023 的總主席及 IEEE GreenCom 2018 的技術程序委員會 (TPC) 聯合主席。他還擔任過多個會議的 Track/Symposium TPC 聯合主席，包括 IEEE VTC-Fall 2020、2019、2012、IEEE CCECE 2017、IEEE Globecom 2010 和 IWCMC 2008。他也曾擔任 IEEE Internet of Things Journal、IEEE Wireless Communications Magazine、IEEE Systems Journal 及 Wireless Communications and Mobile Computing 的編輯委員會成員。

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