• DocumentCode
    3603331
  • Title

    On Capacity and Association Area Characterization in Small Cell-Based Multi-Tier Networks

  • Author

    Naghshin, Vahid ; Reed, Mark C.

  • Author_Institution
    Sch. of Eng. & Inf. Tech., Univ. of New South Wales, Canberra, ACT, Australia
  • Volume
    4
  • Issue
    5
  • fYear
    2015
  • Firstpage
    505
  • Lastpage
    508
  • Abstract
    A mathematical framework is developed for statistical characterization of association cell and channel capacity in co-channel two-tier networks. The cell association and capacity derivation are based on maximum instantaneous received power (IRP) or equivalently Max-SIR in the downlink. We consider two-tier networks consisting of Macro cell base station (MBS) and small cell base station (SCBS). Characterizing coverage in multi-tier networks is critical as it is connected directly to network throughput and load. Two channel models, Log-normal shadowing and Nakagmi- m fading are considered to account for multipath fading. It is shown that in both channel models the cell association areas of SCBS have different behavior compared to path-loss only case. Numerical results provided herein confirm the validity of analytical results.
  • Keywords
    Nakagami channels; cellular radio; channel capacity; multipath channels; statistical analysis; IRP; Log normal shadowing; MBS; Nakagmi-m fading; SCBS; association cell statistical characterization; channel capacity; cochannel two-tier network; instantaneous received power; macrocell base station; mathematical framework; max-SIR; multipath fading; small cell base station; small cell-based multitier network; Base stations; Channel capacity; Channel models; Downlink; Fading; Nakagami distribution; Shadow mapping; Multipath fading; capacity; downlink association; multi-tier networks; user association;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2015.2449294
  • Filename
    7132731