Browsing by Author "Munkhbat, E."

Now showing 1 - 2 of 2
  • Item
    Fair Partitioning of the Downlink Resources of an OFDMA-based Multi-User Multi-Tier Cellular Network Using Fractional Frequency Reuse
    (Maruzen Co., Ltd/Maruzen Kabushikikaisha, 2012) Afolabi, A. S.; Munkhbat, E.; Takaki, Y.; Ohta, C.; Tamaki, H.; Tanaka, Y.; Yamamoto, T.; Okada, Y.
    Orthogonal Frequency Division Multiple Access (OFDMA) is a leading air interface candidate for future generation cellular networks. However, if deployed in a multi-user multi-tier cellular system, it is important to fairly share radio resources such as transmission power and sub-carriers among co-tier and cross-tier users. This paper focuses on a mathematical formulation of cell inner-zone radio resource partitioning variables and considers the case of an FFR-based macrocell underlaid with femtocell. By applying an exhaustive search procedure on the developed formulation, we determine the optimal radio resource partitioning parameter values from the perspectives of macrocell user fairness and femtocell throughput maximization.
  • Item
    Fair Resource Partitioning Between Cell-edge and Cell-center of FFR-based Multi-tier Wireless Access Networks
    (Institute of Electrical and Electronics Engineers (IEEE), 2011) Afolabi, A. S.; Munkhbat, E.; Ohta, C.; Tamaki, H.
    This paper addresses the problem of fair radio resource partitioning between the cell-edge and cell-center regions in the context of the downlink of a SISO-OFDMA cellular system. Although, a plethora of studies concerning OFDMAbased radio resource allocation exists, it is, however, imperative to accord special attention to the proper design of network resource partitioning variables in order to ensure fairness in cell structures in which cell-wide reuse-1 is impracticable. This work focuses on the mathematical formulation of cell-edge/cell-center radio resource partitioning variables and considers the case of an FFR-based multi-layer cellular structure comprising of femtocell underlay. By way of exhaustive search procedure, we determined the optimal radio resource partitioning parameter values from the perspective of user fairness and throughput maximization.