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{ "item_title" : "Semantic Wireless Communications", "item_author" : [" Zhaohui Yang", "Mingzhe Chen", "Aylin Yener "], "item_description" : "This book covers the foundations and system design of semantic wireless communications from a joint communication and computation perspective. It introduces semantic and task-oriented communication, semantic information metrics, and key modeling tools such as autoencoders, semantic entropy, knowledge graphs, and probability graphs. It then develops resource-allocation methods for semantic similarity maximization and equivalent-rate and energy optimization under practical wireless constraints. Later chapters connect these ideas to emerging 6G scenarios. This includes probabilistic semantic communication over space-air-ground integrated networks, federated learning for audio semantic communication, integrated sensing/computing/semantic communication for e-healthcare, semantic feature multiple access with generative AI, and security and privacy. This book is intended for researchers and graduate students, as well as engineers building wireless, edge-intelligence, and AI-native network systems. It combines mathematical models, optimization formulations, algorithm design, simulation studies, and open research directions. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/236/726/3032367263_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Semantic Wireless Communications|Zhaohui Yang

Semantic Wireless Communications : Joint Communication and Computation Perspective

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Overview

This book covers the foundations and system design of semantic wireless communications from a joint communication and computation perspective. It introduces semantic and task-oriented communication, semantic information metrics, and key modeling tools such as autoencoders, semantic entropy, knowledge graphs, and probability graphs. It then develops resource-allocation methods for semantic similarity maximization and equivalent-rate and energy optimization under practical wireless constraints.

Later chapters connect these ideas to emerging 6G scenarios. This includes probabilistic semantic communication over space-air-ground integrated networks, federated learning for audio semantic communication, integrated sensing/computing/semantic communication for e-healthcare, semantic feature multiple access with generative AI, and security and privacy.

This book is intended for researchers and graduate students, as well as engineers building wireless, edge-intelligence, and AI-native network systems. It combines mathematical models, optimization formulations, algorithm design, simulation studies, and open research directions.

This item is Non-Returnable

Details

  • ISBN-13: 9783032367266
  • ISBN-10: 3032367263
  • Publisher: Springer
  • Publish Date: October 2026

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