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9096 results in Communications, Signal Processing and Information Theory

Page 107 of 455

Compressed Sensing in Radar Signal Processing
  • Edited by Antonio De Maio, Yonina C. Eldar, Alexander M. Haimovich
  • Published online:
    30 September 2019
    Print publication:
    17 October 2019
  • Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each chapter includes coverage of theoretical principles, a detailed review of current knowledge, and discussion of key applications, and also highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it easy to explore different topics side by side. Written by leading experts from both academia and industry, this is the ideal text for researchers, graduate students and industry professionals working in signal processing and radar.

Wireless AI
  • Wireless Sensing, Positioning, IoT, and Communications
  • K. J. Ray Liu, Beibei Wang
  • Published online:
    27 September 2019
    Print publication:
    03 October 2019
  • With this groundbreaking text, discover how wireless artificial intelligence (AI) can be used to determine position at centimeter level, sense motion and vital signs, and identify events and people. Using a highly innovative approach that employs existing wireless equipment and signal processing techniques to turn multipaths into virtual antennas, combined with the physical principle of time reversal and machine learning, it covers fundamental theory, extensive experimental results, and real practical use cases developed for products and applications. Topics explored include indoor positioning and tracking, wireless sensing and analytics, wireless power transfer and energy efficiency, 5G and next-generation communications, and the connection of large numbers of heterogeneous IoT devices of various bandwidths and capabilities. Demo videos accompanying the book online enhance understanding of these topics. Providing a unified framework for wireless AI, this is an excellent text for graduate students, researchers, and professionals working in wireless sensing, positioning, IoT, machine learning, signal processing and wireless communications.

  • 12 - Applications of Game Theory in Context-Aware Networks and Mobile Services

  • from Part II - Applications
  • Zhu Han, University of Houston, Dusit Niyato, Nanyang Technological University, Singapore, Walid Saad, Tamer Başar, University of Illinois, Urbana-Champaign
  • Book:
    Game Theory for Next Generation Wireless and Communication Networks
    Published online:
    13 June 2019
    Print publication:
    27 June 2019, pp 315-346

  • Summary

    This chapter presents two applications of game theory in context-aware wireless networks and mobile services. The first application is regarding the game modeling of sponsored content of mobile services. In the sponsored content concept, content providers can sponsor the subscribers of a service provider, i.e., a mobile network operator, to access contents or services from the content providers with discounted prices. The context of users in terms of network effects, which is the influence of one user to other users, is an important factor affecting the decisions for service access. The game theoretic model that captures this factor is presented. The second application is on content caching for social networks. In the caching environment, content centers and cache centers are two types of players. The content centers look for cache centers that maximize the content delivery performance. Likewise, the cache centers seek for content centers that provide the best benefit. The matching game is formulated to address this issue.

  • 13 - Applications of Game Theory for Green Communication Networks

  • from Part II - Applications
  • Zhu Han, University of Houston, Dusit Niyato, Nanyang Technological University, Singapore, Walid Saad, Tamer Başar, University of Illinois, Urbana-Champaign
  • Book:
    Game Theory for Next Generation Wireless and Communication Networks
    Published online:
    13 June 2019
    Print publication:
    27 June 2019, pp 347-376

  • Summary

    This chapter introduces two emerging green communication techniques, i.e., wireless-powered and ambient backscatter communications, which have been receiving a lot of attention recently due to their outstanding energy efficiency. The chapter then presents technical challenges in developing green communication networks and review solutions based on game theory to address these issues. Finally, the chapter introduces an application of Stackelberg game model to address the energy and communication efficiency for an RF-powered cognitive radio network with ambient backscatter communications.

Page 107 of 455