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Volumn , Issue , 2016, Pages 794-798

Machine learning based handover management for improved QoE in LTE

Author keywords

Handover Management; Machine Learning; QoE

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

EID: 84979730132     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NOMS.2016.7502901     Document Type: Conference Paper
Times cited : (50)

References (9)
  • 1
    • 84879085472 scopus 로고    scopus 로고
    • A holistic view on hyper-dense heterogeneous and small cell networks
    • June
    • B. S. Hwang and S. Soliman, "A holistic view on hyper-dense heterogeneous and small cell networks," Communications Magazine, IEEE, vol. 51, no. 6, pp. 20-27, June 2013
    • (2013) Communications Magazine, IEEE , vol.51 , Issue.6 , pp. 20-27
    • Hwang, B.S.1    Soliman, S.2
  • 9
    • 0031162750 scopus 로고    scopus 로고
    • Importance of input data normalization for the application of neural networks to complex industrial problems
    • Jun. 798
    • J. Sola and J. Sevilla, "Importance of input data normalization for the application of neural networks to complex industrial problems," Nuclear Science, IEEE Transactions on, vol. 44, no. 3, pp. 1464-1468, Jun 1997. 798
    • (1997) Nuclear Science, IEEE Transactions on , vol.44 , Issue.3 , pp. 1464-1468
    • Sola, J.1    Sevilla, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.