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An enhanced radio resource management based MIH policies in heterogeneous wireless networks

Author

Listed:
  • N. Omheni

    (National School of Electronics and Telecommunications of Sfax)

  • A. Gharsallah

    (National School of Electronics and Telecommunications of Sfax)

  • F. Zarai

    (National School of Electronics and Telecommunications of Sfax)

Abstract

The require of omnipresent wireless access and high data rate services are expected to increase extensively in the near future. In this context, heterogeneous networks, which are a mixture of different wireless technologies (LTE-advanced, LTE-advanced Pro, C-IoT (Cellular Internet of Thing), 5G WiFi, etc) are invited to enable important capabilities, such as high data rates, low latencies and efficient resource utilization in order to provide dedicated capacity to offices, homes, and urban hotspots. Mixing these technologies in the same system, with their complementary characteristics, to afford a complete coverage to users can cause various challenges such as seamless handover, resource management and call admission control. This article proposes a general radio resource management framework which can be supported by future network architectures. A combined call admission control, resource reservation algorithm and bandwidth adaptation based IEEE 802.21 MIH standard approach for heterogeneous wireless network is detailed in this framework. Our aims are to guarantee quality of service (QoS) requirements of all accepted calls, reduce new call blocking probability and handover call dropping probability, and maintain efficient resource utilization. Performance analysis shows that our proposed approach best guarantees QoS requirements.

Suggested Citation

  • N. Omheni & A. Gharsallah & F. Zarai, 2018. "An enhanced radio resource management based MIH policies in heterogeneous wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(4), pages 577-592, April.
  • Handle: RePEc:spr:telsys:v:67:y:2018:i:4:d:10.1007_s11235-017-0358-4
    DOI: 10.1007/s11235-017-0358-4
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    Cited by:

    1. P. I. Panagoulias & I. D. Moscholios, 2019. "Congestion probabilities in the X2 link of LTE networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(4), pages 585-599, August.

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