• DocumentCode
    3328497
  • Title

    Joint Multicast Beamforming and Admission Control

  • Author

    Matskani, E. ; Sidiropoulos, N.D. ; Luo, Z.-Q. ; Tassiulas, L.

  • Author_Institution
    Dept. of ECE, Tech. Univ. of Crete, Chania
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    Wireless multicasting is quickly emerging as an important enabling technology for mass content distribution to mobile hand-held devices. With channel state information at the transmitter, it is possible to tailor transmissions by selective beamforming towards specific user groups, thereby harnessing the wireless ´broadcast advantage´ and managing co-channel interference. Wireless (physical layer) multicasting options are currently being debated in the emerging UMTS-LTE standard. A key problem in this context is admission control: it is often infeasible or impractical to serve all subscribers from a single access point, due to mutual interference or power limitations. This paper considers the joint multicast beamforming and admission control problem, aiming to maximize the number of subscribers that can be served and minimize the power required to serve them. The joint problem is NP-hard, yet suitable reformulation reveals that it can be naturally relaxed to a semidefinite program (SDP), leading to an approximation by deflation over SDP. Experimental results using measured channels indicate that the proposed approximation approach is fast and efficient.
  • Keywords
    3G mobile communication; approximation theory; array signal processing; cochannel interference; mathematical programming; mobile radio; multicast communication; telecommunication congestion control; UMTS-LTE standard; admission control; approximation theory; channel state information; co-channel interference; mass content distribution; mobile hand-held devices; multicast beamforming; semidefinite program; Admission control; Array signal processing; Broadcasting; Channel state information; Downlink; Interchannel interference; Interference constraints; Receiving antennas; Signal to noise ratio; Transmitters; Multicasting; UMTS-LTE; admission control; transmit beamforming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on
  • Conference_Location
    St. Thomas, VI
  • Print_ISBN
    978-1-4244-1713-1
  • Electronic_ISBN
    978-1-4244-1714-8
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2007.4497997
  • Filename
    4497997