{"product_id":"machine-learning-for-future-wireless-communications","title":"Machine Learning for Future Wireless Communications","description":"\u003cp\u003e\u003cb\u003eA comprehensive review to the theory, application and research of machine learning for future wireless communications\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn one single volume, \u003ci\u003eMachine Learning for Future Wireless Communications\u003c\/i\u003e provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to all the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities.?? \u003c\/p\u003e\u003cp\u003eDeep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency, flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eOffers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks\u003c\/li\u003e \u003cli\u003eCovers a range of topics from architecture and optimization to adaptive resource allocations\u003c\/li\u003e \u003cli\u003eReviews state-of-the-art machine learning based solutions for network coverage\u003c\/li\u003e \u003cli\u003eIncludes an overview of the applications of machine learning algorithms in future wireless networks\u003c\/li\u003e \u003cli\u003eExplores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, \u003ci\u003eMachine Learning for Future Wireless Communications\u003c\/i\u003e presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.\u003c\/p\u003e","brand":"Fa-Long Luo","offers":[{"title":"Default Title","offer_id":42856561279037,"sku":"9781119562252","price":220.46,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781119562252_e97d4ae0-5cfd-429a-a55d-c8cbe83c3cb2.jpg?v=1766990451","url":"https:\/\/www.palmleaf.com.au\/products\/machine-learning-for-future-wireless-communications","provider":"Palmleaf","version":"1.0","type":"link"}