Quality, Reliability, Security and Robustness in Heterogeneous Networks. 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers

Research Article

Channel Aware and Queue Aware Scheduling in LTE Uplink

Download197 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-29222-4_9,
        author={Javad Hajipour and Amr Mohamed and Victor Leung},
        title={Channel Aware and Queue Aware Scheduling in LTE Uplink},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 7th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2010, and Dedicated Short Range Communications Workshop, DSRC 2010, Houston, TX, USA, November 17-19, 2010, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2012},
        month={10},
        keywords={LTE SCFDMA Resource Allocation Channel and Queue Aware Scheduling},
        doi={10.1007/978-3-642-29222-4_9}
    }
    
  • Javad Hajipour
    Amr Mohamed
    Victor Leung
    Year: 2012
    Channel Aware and Queue Aware Scheduling in LTE Uplink
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-29222-4_9
Javad Hajipour1,*, Amr Mohamed2,*, Victor Leung1,*
  • 1: University of British Columbia
  • 2: Qatar University
*Contact email: hajipour@ece.ubc.ca, amrm@qu.edu.qa, vleung@ece.ubc.ca

Abstract

Long Term Evolution (LTE) uses single carrier frequency division multiple access (SCFDMA) technique as the multiple access scheme in the uplink, due to its low peak to average power ratio (PAPR) compared to orthogonal frequency division multiple access (OFDMA). This advantage is achieved when the Resource Blocks (RBs) allocated to a user are contiguous in frequency domain. Considering this constraint we devise Channel and Queue Aware Scheduling (CQAS) algorithms to keep the users’ queue sizes low and at the same time utilize the system resources efficiently. Using extensive simulations we verify the performance of these algorithms in terms of system throughput and queue size probability.