LEADER 01561cam0-22004571i-450- 001 990002586790403321 005 20060907122511.0 010 $a88-7206-088-5 035 $a000258679 035 $aFED01000258679 035 $a(Aleph)000258679FED01 035 $a000258679 100 $a20030910d1995----km-y0itay50------ba 101 1 $aita$ceng 105 $ay-------001yy 200 1 $aCome provare la normalitą ed altre ipotesi per le distribuzioni di frequenza$fSamuel S. Shapiro 210 $aMilano$cEditoriale Itaca$d1995 215 $aVI, 90 p.$d28 cm 225 1 $aCollana sui metodi statistici applicati$v3 300 $aIn testa al frontespizio : "American Society for Quality Control Statistics Division. 300 $aAlla pubblicazione della collana ha contribuito il Centro Tessile Cotonierio e Abbigliamento 454 0$12001$aHow to Test Normality and Other Distributional Assumptions$922122 610 0 $aStatistica aziendale 610 0 $aControllo di qualitą e affidabilitą 610 0 $aControllo di qualitą 610 0 $aDistribuzioni di frequenza 676 $a519.8 676 $a519.86 676 $a519.532 700 1$aShapiro,$bSamuel S.$010189 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002586790403321 952 $aXVII-C-51$b3750$fMAS 952 $aVI E 658 (3)$b29207$fFSPBC 952 $a519.86 ITA 3$b5307$fBFS 959 $aMAS 959 $aFSPBC 959 $aBFS 996 $aHow to test normality and other distributional assumptions$922122 997 $aUNINA LEADER 04096nam 22006495 450 001 9910896185803321 005 20251202152159.0 010 $a981-9776-44-9 024 7 $a10.1007/978-981-97-7644-3 035 $a(CKB)36315421200041 035 $a(MiAaPQ)EBC31716979 035 $a(Au-PeEL)EBL31716979 035 $a(DE-He213)978-981-97-7644-3 035 $a(EXLCZ)9936315421200041 100 $a20241008d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI-enabled Spectrum Sharing $eRecent Advances In Wireless Edge Networks /$fby Lin Zhang, Ming Xiao, Zicun Wang, Wanbin Tang 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (92 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$a981-9776-43-0 320 $aIncludes bibliographical references. 327 $aChapter 1 Introductions and Preliminaries -- Chapter 2 AI-Enabled opportunistic Spectrum Sharing -- Chapter 3 AI-Enabled Centralized Spectrum Sharing -- Chapter 4 AI-Enabled Distributed Spectrum Sharing -- Chapter 5: Conclusions. 330 $aWireless edge networks aim to provide last-mile wireless connections between access points and diversified wireless end devices. Recent years witness the rapid development of wireless communication ecosystems including fundamental theory breakthroughs, manufacture capability improvements, as well as the explosively increasing wireless end devices and service demands. It is known that spectrum is the irreplaceable resource for wireless transmissions in edge networks. Nevertheless, it is quite challenging and inefficient to allocate dedicated spectrum for each single transmission link due to the severe shortage of spectrum resource. Alternatively, by enabling different links to use the same spectrum, spectrum sharing is envisioned to be a promising paradigm to properly accommodate the conflict between the scarce spectrum resource and substantial spectrum demands. Conventionally, model-driven optimization methods are widely adopted to optimize the spectrum sharing policy in the edge network and achieve friendly coexistence among different transmission links. However, future wireless edge network is predicted to be large-scale and heterogeneous, model-driven optimization methods will be problematic such as imperfect modelling and unacceptable overheads. Different from the existing related books on spectrum sharing or spectrum management for wireless edge networks, our book leverages the artificial intelligence (AI) to achieve smart spectrum sharing for wireless edge networks and elaborates AI-enabled spectrum sharing technique in typical scenarios, which can guide the development of next-generation spectrum sharing standards, as well as provide innovative spectrum sharing methods for related practitioners, including research fellow, lecturers, and students. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aComputer networks 606 $aWireless communication systems 606 $aMobile communication systems 606 $aMultiagent systems 606 $aInternet of things 606 $aComputer Communication Networks 606 $aWireless and Mobile Communication 606 $aMultiagent Systems 606 $aInternet of Things 615 0$aComputer networks. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aMultiagent systems. 615 0$aInternet of things. 615 14$aComputer Communication Networks. 615 24$aWireless and Mobile Communication. 615 24$aMultiagent Systems. 615 24$aInternet of Things. 676 $a621.384 700 $aZhang$b Lin$f1927-$01846307 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910896185803321 996 $aAI-enabled Spectrum Sharing$94522961 997 $aUNINA