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[Author] Dong Hoi KIM(2hit)

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  • Subchannel Multiplexing Scheme for Mobile Broadband Wireless Access Services in AMC-based OFDMA System

    Dong Hoi KIM  Chung Gu KANG  

     
    PAPER

      Vol:
    E88-B No:7
      Page(s):
    2810-2818

    In the adaptive modulation and coding (AMC)-based orthogonal frequency division multiple access (OFDMA) system for broadband wireless service, a large number of users with short packets cause a serious capacity mismatch problem, which incurs resource under-utilization when the data rate of subchannel increases with a better channel condition. To handle the capacity mismatch problem, we propose an AMC-based subchannel multiplexing (ASM) scheme, which allows for sharing the same subchannel among the different simultaneous flows of the same user. Along with the ASM scheme, we also consider multi-class scheduling scheme, which employs the different packet scheduling algorithm for the different service class, e.g., packet loss rate-based (PLR) scheduling algorithm for real-time (RT) service and modified minimum bit rate-based (MMBR) scheduling algorithm for non-real-time (NRT) service. In the typical integrated service scenario with voice, video, and data traffic, we have shown that the proposed schemes significantly improve the overall system capacity.

  • Packet Loss Rate-Based Packet Scheduling Algorithm for Wireless Multimedia Data Service in OFDMA System

    Dong Hoi KIM  Byung Han RYU  Chung Gu KANG  

     
    LETTER

      Vol:
    E87-B No:5
      Page(s):
    1276-1281

    In this letter, we propose a packet scheduling algorithm to support both real-time voice and video traffic for wireless multimedia data service in orthogonal frequency division multiple access (OFDMA) system. Our design objective is to maximize the number of real-time service users that can be supported in the system subject to QoS requirement of packet loss rate (PLR). Both time slots and subcarriers are taken into account as the basic resource allocation unit in OFDMA/FDD system. The simulation results show that our proposed algorithm can dramatically increase the number of users satisfying the underlying QoS requirement for the real-time service, as compared to the existing algorithm.