LEADER 03480nam 2200565 450 001 9910830365203321 005 20230706141722.0 010 $a1-119-79028-X 010 $a1-119-79032-8 010 $a1-119-79031-X 035 $a(MiAaPQ)EBC6953228 035 $a(Au-PeEL)EBL6953228 035 $a(CKB)21513015600041 035 $a(OCoLC)1287752035 035 $a(EXLCZ)9921513015600041 100 $a20221118d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial intelligence and quantum computing for advanced wireless networks /$fSavo G. Glisic, Beatriz Lorenzo 210 1$aHoboken, New Jersey :$cWiley,$d2022 210 4$d©2022 215 $a1 online resource (1259 pages) 300 $aIncludes index. 311 08$aPrint version: Glisic, Savo G. Artificial Intelligence and Quantum Computing for Advanced Wireless Networks Newark : John Wiley & Sons, Incorporated,c2022 9781119790297 330 $a"By increasing the density and number of different functionalities in wireless networks there is more and more need for the use of artificial intelligence for planning network deployment, running their optimization and dynamically controlling their operation. For example, machine learning algorithms are used for the prediction of traffic and network state in order to timely reserve resources for smooth communication with high reliability and low latency; Big data mining is used to predict customer behaviour and pre-distribute the information content across the network so that it can be efficiently delivered as soon as requested; Intelligent agents can search the internet on behalf of the customer in order to find the best options when it comes to buying any product online. This timely book presents a review of AI-based learning algorithms with a number of case studies supported by Python and R programs, providing a discussion of the learning algorithms used in decision making based on game theory and a number of specific applications in wireless networks, such as channel, network state and traffic prediction. It is expected that once quantum computing becomes a commercial reality, it will be used in wireless communications systems in order to speed up specific processes due to its inherent parallelization capabilities. This is a practical book packed with case studies and follows a basic through to advanced level path and is an ideal course accompaniment for graduate/masters students, and online professional study."--$cProvided by publisher. 606 $aQuantum computing 606 $aArtificial intelligence 606 $aWireless communication systems 606 $aComputació quŕntica$2lemac 606 $aIntel·ligčncia artificial$2lemac 606 $aComunicació sense fil, Sistemes de$2lemac 615 0$aQuantum computing. 615 0$aArtificial intelligence. 615 0$aWireless communication systems. 615 7$aComputació quŕntica 615 7$aIntel·ligčncia artificial 615 7$aComunicació sense fil, Sistemes de 676 $a006.3843 700 $aGlisic$b Savo G.$028518 702 $aLorenzo$b Beatriz 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830365203321 996 $aArtificial intelligence and quantum computing for advanced wireless networks$94094659 997 $aUNINA