• DocumentCode
    1760380
  • Title

    Dynamic eICIC — A Proactive Strategy for Improving Spectral Efficiencies of Heterogeneous LTE Cellular Networks by Leveraging User Mobility and Traffic Dynamics

  • Author

    Vasudevan, S. ; Pupala, Rahul N. ; Sivanesan, K.

  • Author_Institution
    Alcatel-Lucent, Murray Hill, NJ, USA
  • Volume
    12
  • Issue
    10
  • fYear
    2013
  • fDate
    41548
  • Firstpage
    4956
  • Lastpage
    4969
  • Abstract
    Enhanced Inter-cell Interference Co-ordination (eICIC) is a time-domain multiplexing technique for improving the performance of legacy co-channel Heterogeneous Networks (HetNets). eICIC offers several benefits, including a more equitable distribution of user traffic across the macro and embedded pico cells (i.e., load balancing), in turn leading to better pico cell utilizations and better edge user throughputs. eICIC uses two mechanisms to achieve load balancing: (i) a cell selection bias to increase the pico coverage area, enabling the pico to attract more users, and (ii) macro muting ("Almost Blank Sub-frame", ABS) to improve SINRs of range extended pico users. Network load in the cellular system varies continuously as a result of user mobility and traffic dynamics (the varying amount of data pending for a user - arising from packet arrivals and eventual departures). Previous work did not consider dynamically changing network conditions in HetNets. Hence, they studied the benefits of eICIC over legacy HetNets arising from static optimization of eICIC parameters. Our approach is dynamic, and further improves performance by keeping the HetNet continuously optimized for improved user experience, by adapting the ABS in response to dynamic variations in network load. We present several analytical formulations, which allow for simple optimizations and an intuitive understanding of the desired system response to load variation. Exhaustive system simulations illustrate the performance gains along different dimensions, such as spectral efficiency, fairness, mean file transfer times, number of file transmissions, number of file drops, and mean queue lengths. Furthermore, we study the impact of different mobility scenarios, traffic mixes, and adaptation rate. We also provide a brief discussion of practical considerations in implementing Dynamic eICIC.
  • Keywords
    Long Term Evolution; multiplexing; optimisation; picocellular radio; queueing theory; radiofrequency interference; resource allocation; telecommunication traffic; time-domain analysis; wireless channels; ABS; HetNets; LTE cellular network; SINR; almost blank subframe; dynamic eICIC; edge user throughput; enhanced intercell interference coordination; exhaustive system simulation; legacy cochannel heterogeneous network; leveraging user mobility; load balancing; macromuting; macropicocell; mean file transfer; optimization; queue length; spectral efficiency; time-domain multiplexing technique; traffic dynamics; user traffic distribution; Base stations; Interference; Load management; Measurement; Optimized production technology; Signal to noise ratio; Throughput; LTE; almost blank sub-frame (ABS); cell selection bias; dynamic eICIC; enhanced inter-cell interference co-ordination (eICIC); heterogeneous network (HetNet); interference co-ordination; load balancing; optimization;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2013.081413.121651
  • Filename
    6585734