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    <title>Stochastic Geometry Analysis of Space-Air-Ground Networks</title>
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    <namePart>Shi, Minwei.</namePart>
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    <namePart>Yang, Kai.</namePart>
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    <namePart>Zhou, He.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XI, 123 p. 37 illus., 32 illus. in color. online resource.</extent>
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  <abstract>This book presents a comprehensive framework for the theoretical analysis of space-air-ground networks using stochastic geometry. This analytical approach is indispensable for evaluating the performance of large-scale space-air-ground networks, which serve as critical facilitators for the advancement of the sixth-generation wireless communication aimed at providing high-speed broadband coverage for remote areas. By incorporating the features of topology and channel model in different tiers, this book investigates the key performance metrics in terms of load balancing, coverage assessment, and mobility management. The developed mechanisms provide effective design insights for space-air-ground networks while obviating the need for complex system-level simulations.</abstract>
  <tableOfContents>Introduction -- Fundamentals of Wireless Network Analysis -- Terrestrial Cellular Networks with Dependence -- Unmanned Aerial Vehicle-Assisted Cellular Networks -- Low Earth Orbit Satellite Networks -- Summary and Discussion.</tableOfContents>
  <note type="statement of responsibility">by Minwei Shi, Kai Yang, He Zhou.</note>
  <subject authority="lcsh">
    <topic>Wireless communication systems</topic>
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  <subject authority="lcsh">
    <topic>Mobile communication systems</topic>
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  <subject authority="lcsh">
    <topic>Telecommunication</topic>
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  <subject authority="lcsh">
    <topic>Communication</topic>
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  <subject>
    <topic>Wireless and Mobile Communication</topic>
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  <subject>
    <topic>Communications Engineering, Networks</topic>
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  <subject>
    <topic>Media and Communication</topic>
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  <classification authority="lcc">TK5103.2-.4885</classification>
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  <identifier type="isbn">9789819762668</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-6266-8</identifier>
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