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Resource Allocator for Non Real-Time Traffic in Wireless Networks Using Fuzzy Logic

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Abstract

Providing efficient access to a large user population with variantservice requirements in wireless communications networks poses a verychallenging problem. Resource allocation in the wireless domain shouldtake into account bandwidth limitations and fading effects inherent towireless channels, while accommodating for resource constraintsencountered in wireline networks. In this paper, a fuzzy resourceallocator is proposed in order to facilitate the efficient allocation ofnetwork resources in the wireless domain. The network preferentiallyallocates its resources to real-time (RT) traffic sources. Usingeffective transmission rate statistics of non real-time (NRT) trafficdsources as a measure of fading channel conditions, the fuzzy allocatoroptimally allocates the remaining resources to NRT traffic. Simulationsshow that the fuzzy allocator can reduce delay and incurs fewerretransmissions for NRT traffic. An overall improvement in wirelesschannel utilization is demonstrated.

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References

  1. M. Schwartz, Broadband Integrated Networks, Prentice Hall PTR, Upper Saddle River, New Jersey, 1996.

    Google Scholar 

  2. T.S. Rappaport, Wireless Communications: Principles and Practices, Prentice Hall PTR, Upper Saddle River, New Jersey, 1996.

    Google Scholar 

  3. G. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall PTR, Upper Saddle River, New Jersey, 1995.

    Google Scholar 

  4. T.D. Ndousse, “Fuzzy Control of Multi-Rate Traffic in Multimedia Cell-Based Networks”, Telecommunications Systems, Vol. 8, pp. 79–93, 1997.

    Google Scholar 

  5. J.H. Bandara, “A Fuzzy Resource Allocator for Wireless Non-Real-Time Traffic”, Masters thesis, University of Waterloo, Canada, August 1999.

    Google Scholar 

  6. X. Wu and I. Lambadaris et al., “A Comparative Study of Some Leaky Bucket Network Access Schemes”, in Proceedings of IEEE Globecom' 94, 1994, pp. 1586–1591.

  7. V. Catania, G. Ficili, S. Palazzo, and D. Panno, “A Comparative Analysis of Fuzzy Versus Conventional Policing Mechanism for ATM Networks”, IEEE/ACM Transactions on Networking, Vol. 4, No. 3, pp. 449–459, 1996.

    Google Scholar 

  8. W.S. Jeon and D.G. Jeong, “Comparison of Time Slot Allocation Strategies for CDMA/TDD Systems”, IEEE Journal on Selected Areas in Communications, Vol. 18, No. 7, pp. 1271–1278, 2000.

    Google Scholar 

  9. X. Shen and J.W. Mark, “Mobility Information for Resource Management in Wireless ATM Networks”, Computer Networks, Vol. 31, pp. 1049–1062, 1999.

    Google Scholar 

  10. P. Demestichas et al., “Management of Networks and Services in a Diversified Radio Environment”, in Proceedings of IST Mobile Communications Summit 2001, September 2001.

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Bandara, J., Shen, X. & Nurmohamed, Z. Resource Allocator for Non Real-Time Traffic in Wireless Networks Using Fuzzy Logic. Wireless Personal Communications 21, 329–344 (2002). https://doi.org/10.1023/A:1016060910543

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  • DOI: https://doi.org/10.1023/A:1016060910543

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