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020 _a9783030105464
_9978-3-030-10546-4
024 7 _a10.1007/978-3-030-10546-4
_2doi
050 4 _aTK5103.2-.4885
072 7 _aTJKW
_2bicssc
072 7 _aTEC061000
_2bisacsh
072 7 _aTJKW
_2thema
082 0 4 _a621.384
_223
100 1 _aYu, F. Richard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_933289
245 1 0 _aDeep Reinforcement Learning for Wireless Networks
_h[electronic resource] /
_cby F. Richard Yu, Ying He.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aVIII, 71 p. 28 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
520 _aThis Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool. .
650 0 _aWireless communication systems.
_93474
650 0 _aMobile communication systems.
_94051
650 0 _aArtificial intelligence.
_93407
650 0 _aTelecommunication.
_910437
650 1 4 _aWireless and Mobile Communication.
_933290
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aCommunications Engineering, Networks.
_931570
700 1 _aHe, Ying.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_933291
710 2 _aSpringerLink (Online service)
_933292
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030105457
776 0 8 _iPrinted edition:
_z9783030105471
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8120
_933293
856 4 0 _uhttps://doi.org/10.1007/978-3-030-10546-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75408
_d75408