Scheduler-Dependent Inter-cell Interference and Its Impact on LTE Uplink Performance at Flow Level

  • D. C. Dimitrova
  • G. Heijenk
  • J. L. van den Berg
  • S. Yankov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6649)


The Long Term Evolution (LTE) cellular technology is expected to extend the capacity and improve the performance of current 3G cellular networks. Among the key mechanisms in LTE responsible for traffic management is the packet scheduler, which handles the allocation of resources to active flows in both the frequency and time dimension. This paper investigates for various scheduling scheme how they affect the inter-cell interference characteristics and how the interference in turn affects the user’s performance. A special focus in the analysis is on the impact of flow-level dynamics resulting from the random user behaviour. For this we use a hybrid analytical/simulation approach which enables fast evaluation of flow-level performance measures. Most interestingly, our findings show that the scheduling policy significantly affects the inter-cell interference pattern but that the scheduler specific pattern has little impact on the flow-level performance.


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  1. 1.
    3GPP TS 36.942. LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Frequency (RF) system scenarios (2010)Google Scholar
  2. 2.
    Bonald, T., Hegde, N.: Capacity gains of some frequency reuse schemes in OFDMA networks. In: Proc. of Globecom 2009, Honolulu, Hawaii, USA, pp. 1–6 (2009)Google Scholar
  3. 3.
    Dimitrova, D.C.: Analysing uplink scheduling in mobile networks. A flow-level perspective. PhD thesis, Wöhrmann Print Service (2010)Google Scholar
  4. 4.
    Dimitrova, D.C., van den Berg, H., Heijenk, G.: Scheduler dependent modelling of inter-cell interference in UMTS EUL. In: Proc. of NGMAST 2008, Cardiff, UK (2009)Google Scholar
  5. 5.
    Fodor, G., Telek, M.: Performance analysis of the uplink of a CDMA cell supporting elastic services. In: Proc. of Networking 2005, Waterloo, Canada (2005)Google Scholar
  6. 6.
    Holma, H., Toskala, A.: LTE for UMTS: OFDMA and SC-FDMA based radio access. John Wiley & Sons, Chichester (2009)CrossRefGoogle Scholar
  7. 7.
    Mao, X., Maaref, A., Teo, K.H.: Adaptive soft frequency reuse for inter-cell interference coordination in SC-FDMA based 3GPP LTE uplinks. In: Proc. of Globecom 2008, New Orleans, Louisiana, USA, pp. 1–6 (2008)Google Scholar
  8. 8.
    Racz, A., Reider, N., Fodor, G.: On the impact of inter-cell interference in LTE. In: Proc. of Globecom 2008, New Orleans, USA, pp. 1 –6 (November 2008)Google Scholar
  9. 9.
    Xiang, X., Liu, F., Ji, Y.: Simulation based performance evaluation of ICI mitigation schemes for broadband wireless access networks. In: Proc. of CNS 2008, Montreal, Canada, pp. 181–187 (2008)Google Scholar
  10. 10.
    Xiangning, F., Si, C.: Z Xiaodong. An inter-cell interference coordination technique based on users’ ratio and multi-level frequency allocations. In: Proc. of WiCom 2007, Shanghai, China, pp. 799–802 (2007)Google Scholar
  11. 11.
    Xie, Z., Walke, B.: Resource allocation and reuse for inter-cell interference mitigation in OFDMA based communication networks. In: Proc. of WICON 2010, Singapore-city, Singapore, pp. 1–6 (2010)Google Scholar
  12. 12.
    Zhang, T., Zeng, Z.: Ch. Feng, J. Cheng, and L. Song. Uplink power allocation for interference coordination in multi-cell OFDM systems. In: Proc. of ChinaCom 2008., pp. 716–720 (2008)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • D. C. Dimitrova
    • 1
  • G. Heijenk
    • 1
  • J. L. van den Berg
    • 1
    • 2
  • S. Yankov
    • 3
  1. 1.Enschede, The NetherlandsUniversity of TwenteBernSwitserland
  2. 2.TNO ICTDelftThe Netherlands
  3. 3.Technical University SofiaBulgaria

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