SFBC MIMO energy efficiency improvements of common packet schedulers for the long term evolution downlink

C. Turyagyenda, T. O'Farrell, J. He, P. Loskot

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    It is desirable that energy performance improvement is not realized at the expense of other network performance parameters. This paper investigates the trade off between energy efficiency, spectral efficiency and user QoS performance for a multi-cell multi-user radio access network. Specifically, the energy consumption ratio (ECR) and the spectral efficiency of several common frequency domain packet schedulers in a cellular E-UTRAN downlink are compared for both the SISO transmission mode and the 2x2 Alamouti Space Frequency Block Code (SFBC) MIMO transmission mode. It is well known that the 2x2 SFBC MIMO transmission mode is more spectrally efficient compared to the SISO transmission mode, however, the relationship between energy efficiency and spectral efficiency is undecided. It is shown that, for the E-UTRAN downlink with fixed transmission power, spectral efficiency improvement results into energy efficiency improvement. The effect of SFBC MIMO versus SISO on the user QoS performance is also studied.

    Original languageEnglish
    Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
    Number of pages5
    DOIs
    Publication statusPublished - 29 Aug 2011
    Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
    Duration: 15 May 201118 May 2011

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Conference

    Conference2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
    Country/TerritoryHungary
    CityBudapest
    Period15/05/1118/05/11

    Keywords

    • ECR
    • LTE
    • Mimo
    • Packet scheduling
    • SFBC

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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