• DocumentCode
    742188
  • Title

    Frequency Domain Packet Scheduling with Stability Analysis for 3GPP LTE Uplink

  • Author

    Fengyuan Ren ; Yinsheng Xu ; Hongkun Yang ; Jiao Zhang ; Chuang Lin

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • Volume
    12
  • Issue
    12
  • fYear
    2013
  • Firstpage
    2412
  • Lastpage
    2426
  • Abstract
    In this paper, we investigate the Frequency Domain Packet Scheduling (FDPS) problem for 3GPP Long Term Evolution (LTE) Uplink (UL). Instead of studying a specific scheduling policy, we provide a unified approach to tackle this issue. First, we formalize a general LTE UL FDPS problem, which is suitable for various scheduling policies. Then, we prove that the problem is MAX SNP-hard, which implies that approximation algorithms with constant approximation ratios are the best that we can hope for. Therefore, we design two approximation algorithms, both of which have polynomial runtime. The first algorithm is based on a simple greedy method. The second one is based on the Local Ratio (L-R) technique and it can approximately solve the LTE UL FDPS problem with an approximation ratio of 2. To further analyze the stability of the 2-approximation L-R algorithm, we derive a specific FDPS problem, which incorporates the queue length and channel quality information. We utilize the Lyapunov Drift to prove the L-R algorithm is stable for any (ω00)-admissible LTE UL systems. The simulation results indicate good performance of the L-R scheduler.
  • Keywords
    3G mobile communication; Long Term Evolution; computational complexity; frequency-domain analysis; greedy algorithms; optimisation; polynomial approximation; scheduling; stability; 3GPP LTE uplink; L-R technique; LTE UL FDPS problem; Long Term Evolution; MAX SNP-hard; channel quality information; constant approximation ratios; frequency domain packet scheduling; local ratio technique; polynomial runtime; queue length; scheduling policy; simple greedy method; stability analysis; Algorithm design and analysis; Approximation algorithms; Approximation methods; Frequency domain analysis; Scheduling algorithms; Stability analysis; $((omega; Long term evolution (LTE); Lyapunov drift; Optimization Algorithm; approximation ratio; epsilon))$-admissible; frequency domain packet scheduling (FDPS); local ratio; stability analysis; uplink (UL);
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2012.223
  • Filename
    6338932