• DocumentCode
    137041
  • Title

    SRS-based user proximity detection in LTE small cells

  • Author

    Gonuguntla, V. ; Garg, Radhika ; Kompalli, Sayee Chakravartula ; Akhtar, Naheed

  • Author_Institution
    Centre of Excellence in Wireless Technol. (CEWiT), Chennai, India
  • fYear
    2014
  • fDate
    Feb. 28 2014-March 2 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Heterogeneous Networks (HetNets) consist of two layers of base stations: a coverage layer that consists of conventional macro base stations and a capacity layer of low-power base stations, variously called small, pico etc. To maximize spectrum reuse in the capacity layer, dense small cell deployment is necessary. However, with a large number of small cells, user´s battery consumption increases due to the increased number of measurements to be performed in order to achieve high offloading gain. In addition, small cells also need to transmit reference signals which consumes power and also contributes to interference in the macro-cell. These problems can be mitigated by network-based user detection algorithms and user-based small cell discovery algorithms. In this paper, we propose an efficient network-based user proximity detection method that determines a user´s presence by listening to its uplink transmissions like Sounding Reference Signals (SRS) transmissions, or Physical Random Access CHannel (PRACH) transmissions that are used for random access. This can be used to take handover decisions as well as to control the ON-OFF periods of the small cell.
  • Keywords
    Long Term Evolution; mobility management (mobile radio); radiofrequency interference; signal detection; HetNets; LTE small cells; PRACH; SRS-based user proximity detection; battery consumption; capacity layer; dense small cell deployment; handover decisions; heterogeneous networks; low-power base stations; macro base stations; macro-cell interference; physical random access channel; small cell discovery; sounding reference signals; uplink transmissions; user detection; Battery charge measurement; Correlation; Estimation; Frequency-domain analysis; Indexes; Interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2014 Twentieth National Conference on
  • Conference_Location
    Kanpur
  • Type

    conf

  • DOI
    10.1109/NCC.2014.6811266
  • Filename
    6811266