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Volumn , Issue , 2010, Pages 170-176

A cooperative reinforcement learning approach for inter-cell interference coordination in OFDMA cellular networks

Author keywords

Fuzzy Q learning; Inter cell interference coordination; LTE; OFDMA; Reinforcement learning; SON

Indexed keywords

FUZZY-Q-LEARNING; INTER-CELL INTERFERENCE COORDINATION; LTE; OFDMA; SON;

EID: 77955900359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (54)

References (17)
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  • 8
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    • Self-organizing dynamic fractional frequency reuse for best-effort traffic through distributed inter-cell coordination
    • A. L. Stolyar, H. Viswanathan, "Self-organizing dynamic fractional frequency reuse for best-effort traffic through distributed inter-cell coordination," Proc. IEEE Proc. INFOCOM, Rio de Janeiro, April 2009.
    • Proc. IEEE Proc. INFOCOM, Rio de Janeiro, April 2009
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  • 9
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    • Gross, J.1
  • 10
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    • to be published in
    • R. Combes Z. Altman, E. Altman, "On the use of packet scheduling in self-optimization processes: application to coverage-capacity optimization", to be published in WiOpt 2010.
    • WiOpt 2010
    • Combes, R.1    Altman, Z.2    Altman, E.3
  • 14
    • 0032140718 scopus 로고    scopus 로고
    • Fuzzy inference system learning by reinforcement methods
    • Aug.
    • L. Jouffe, "Fuzzy inference system learning by reinforcement methods," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 28, no. 3, pp. 338-355, Aug. 1998.
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    • Jouffe, L.1
  • 16
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    • Fair end-to-end window-based congestion control
    • Oct.
    • J. Mo, J. Walrand, "Fair end-to-end window-based congestion control," IEEE/ACM Trans. on Networking, vol. 8, Oct. 2000, pp. 556-567.
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    • Mo, J.1    Walrand, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.