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Volumn , Issue , 2007, Pages 397-403

Developing agent-based biological ontology prediction for resource allocation strategy in cellular systems

Author keywords

Biological ontology; Blocking probability; Cellular systems; Interference mitigation

Indexed keywords

AGENT BASED; BIOLOGICAL ONTOLOGIES; BIOLOGICAL PROCESS; CELLULAR SYSTEM; INTERFERENCE MITIGATION; MULTIAGENT NEGOTIATION; RESOURCE ALLOCATION STRATEGIES;

EID: 84870177458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (12)
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  • 2
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  • 3
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    • Optimal resource allocation and adaptive call admission control for voice/data integrated cellular networks
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    • C. W. Leong, W. Zhuang, Y. Cheng, and L. Wang: Optimal Resource Allocation and Adaptive Call Admission Control for Voice/Data Integrated Cellular Networks, IEEE Transactions on Vehicular technology, Vol. 55, No. 2, March 2006.
    • (2006) IEEE Transactions on Vehicular Technology , vol.55 , Issue.2
    • Leong, C.W.1    Zhuang, W.2    Cheng, Y.3    Wang, L.4
  • 4
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    • Performance analysis of dynamic channel assignment algorithms in cellular mobile systems with hand-off
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  • 5
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    • Manvi, S.S.1    Venkataram, P.2
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    • Ren, T.1    La, R.J.2
  • 8
    • 33645799470 scopus 로고    scopus 로고
    • Blocking probability and channel assignment in wireless networks
    • April
    • M. Zafer and E. Modiano: Blocking Probability and Channel Assignment in Wireless Networks, IEEE Transaction on Wireless Communications, Vol. 5, No. 4, April 2006.
    • (2006) IEEE Transaction on Wireless Communications , vol.5 , Issue.4
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  • 9
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    • Distributed dynamic channel allocation in mobile networks: Combining search and update
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    • S. Gupta and P. Srimani: Distributed Dynamic Channel Allocation in Mobile Networks: combining Search and Update, The Journal Supercomputing Vol.17, No.1, August 2000.
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.