Wireless Personal Communications

, Volume 42, Issue 2, pp 225–246 | Cite as

MIMO Based Radio Resource Management for UMTS Multicast Broadcast Multimedia Services

  • Armando SoaresEmail author
  • João C. Silva
  • Nuno Souto
  • Filipe Leitão
  • Américo Correia


MIMO systems promise high performance gains over conventional single antenna systems. To accomplish high data rates over wireless links the use of multiple transmit and receive antennas is an alternative that does not require any extra bandwidth. It has the potential to address the unprecedented demand for wireless services, particularly for the Multimedia Broadcast Multicast Service (MBMS). This service supports downlink streaming and download-and-play type services to large groups of users. From the radio perspective, MBMS includes point-to-point (PtP) and point-to-multipoint (PtM) modes. New proposed MBMS related enhancements in the physical layer specifications and their effects on resource requirements are presented in this paper, such as the use of High Speed Downlink Packet Access (HSDPA) to broadcast/multicast video streaming using the Deficit Round Robin (DRR) scheduler algorithm as a way to maintain an acceptable QoS for all the users. Other improvements, based on the use of MIMO including macro-diversity, are independent of the mode used and are dependent on deployment scenarios, but can yield substantial reduction in resource demand.


MIMO MBMS Macro-diversity combining QoS 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    GPP, 25.803, “S-CCPCH Performance for MBMS”.Google Scholar
  2. 2.
    GPP TS 25.308 V5.4.0, “High Speed Downlink Packet Access (HSDPA) Stage 2 - Release 5”, 2002–10.Google Scholar
  3. 3.
    GPP TS 25.308 V5.4.0, “High Speed Downlink Packet Access (HSDPA) Stage 2 - Release 6”, 2004–03.Google Scholar
  4. 4.
    M. Shreedhar, G. Varghese “Efficient Fair Queuing Using Deficit Round-Robin”, IEEE Trans. Netw., Vol. 4, No. 3. 1996.Google Scholar
  5. 5.
    D. Fernández and H. Montes, “An Enhanced Quality Of Service Method for Guaranteed Bitrate Services over Shared Channels in EGPRS Systems”, IEEE Veh. Tech. Conf., Spring 2002, 2/957.961Google Scholar
  6. 6.
    Foschini G.J., Gans M.J. (Mar. 1998). “On limits of wireless communications in a fading environment when using multiple antennas”. Wireless Pers. Commun. 6:311–335CrossRefGoogle Scholar
  7. 7.
    E. Telatar, “Capacity of multiantenna Gaussian channels”, AT&T Bell Laboratories, Tech. Memo., June 1995.Google Scholar
  8. 8.
    Telatar I.E. (1999). “Capacity of multiantenna Gaussian channels”. Eur. Trans. Commun. 10(6):585–595Google Scholar
  9. 9.
    J.C. Silva et al., “Equalization Based Receivers for Wideband MIMO/BLAST Systems”, Wireless Pers. Commun., accepted for publication.Google Scholar
  10. 10.
    J.C. Silva et al., “MMSE with Non-Uniform Modulations for a MIMO/BAST System”, Proc. Conf. Tele’ 2005, Tomar, Portugal, April 2005.Google Scholar
  11. 11.
    F.H.P. Fitzek and M. Reisslein, “MPEG–4 and H.263 Video Traces for Network Performance Evaluation”, IEEE Netw., Vol. 15, No. 6, pp. 40–54, November/December 2001.Google Scholar
  12. 12.
    GPP, 25.996-v6.1.0, “Spatial channel model for Multiple Input Multiple Output (MIMO) simulations”.Google Scholar
  13. 13.
    FP6-IST-507607 Project B-BONE, “Broadcasting and multicasting over enhanced UMTS mobile broadband networks”, URL: Scholar

Copyright information

© Springer 2006

Authors and Affiliations

  • Armando Soares
    • 2
    Email author
  • João C. Silva
    • 1
  • Nuno Souto
    • 1
    • 2
  • Filipe Leitão
    • 2
  • Américo Correia
    • 1
    • 2
  1. 1.Instituto de TelecomunicaçõesLisboaPortugal
  2. 2.Associação para o Desenvolvimento das Telecomunicações e Técnicas de InformáticaLisboaPortugal

Personalised recommendations