• DocumentCode
    2044427
  • Title

    A MUD/rate selection tool for cognitive radios in packet based asynchronous Gaussian multiple access channels

  • Author

    Basu, Prithwish ; Learned, Rachel

  • Author_Institution
    MIT Lincoln Lab., Lexington, MA, USA
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    1907
  • Lastpage
    1911
  • Abstract
    This work addresses the problem of on-the-fly optimization of throughput for MUD-based cognitive coexistence systems. Specifically, achievable throughput depends upon several factors including power and rate of the interfering signals as well as the exact level of interference or cross correlation between the interferers [5]. What is less understood is the impact a specific MUD technique will have on achievable throughput. For both types of coexistence, then, a critical enabler is, indeed, the MUD receiver, but having a MUD doesn´t guarantee a successful IMA link. Currently, prototype MUD-based IMA systems such as the DIMA system described in [6] must rely upon coordination of all interfering users via an IMA medium access controller (MAC) to ensure the specific details governing the scenario like powers and rates, do not “break the MUD” receivers that have been implemented within the IMA radios.
  • Keywords
    Gaussian channels; cognitive radio; multi-access systems; multiuser detection; DIMA system; IMA link; IMA medium access controller; IMA radios; MAC; MUD receiver; MUD-based IMA systems; MUD-based cognitive coexistence systems; MUD-rate selection tool; cognitive radios; multiuser detection; on-the-fly optimization; packet based asynchronous Gaussian multiple access channels; Approximation methods; Interference; Measurement; Multiuser detection; Polynomials; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810635
  • Filename
    6810635