Voronoi Cell Geometry Based Dynamic Fractional Frequency Reuse for OFDMA Cellular Networks

Rahat, Ullah and Norsheila, Fisal and Hashim, Safdar and Wajahat, Maqbool and Zubair, Khalid and Adnan, Shahid Khan (2013) Voronoi Cell Geometry Based Dynamic Fractional Frequency Reuse for OFDMA Cellular Networks. In: 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 8-10 Oct. 2013, Melaka.

Voronoi Cell Geometry Based Dynamic Fractional (abstract).pdf

Download (127kB) | Preview
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...


Interference Management (1M) is one of the major challenges of next generation wireless communication. Fractional Frequency Reuse (FFR) has been acknowledged as an efficient 1M technique, which offers significant capacity enhancement and improve cell edge coverage with low complexity. In literature, FFR has been analyzed mostly with cellular networks described by Hexagon Grid Model, which is neither tractable nor scalable to the dense deployment of next generation wireless networks. Moreover, the perfect geometry based grid model tends to overestimate the system performance and not able to reflect the reality. In this paper, we use the stochastic geometry approach, FFR is analyzed with cellular network modeled by homogeneous Poisson Point Process (PPP). A dynamic frequency allocation scheme is proposed which take into account the randomness of the cell coverage area describe by Voronoi tessellation. It is shown that the proposed scheme outperforms the traditional fixed frequency allocation schemes in terms of per user capacity and capacity density.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Inter-Cell Interference (ICI), Interference Management, Fractional Frequency Reuse, Long Term Evolution (LTE), Poisson Point Process, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 07 Apr 2016 07:48
Last Modified: 07 Apr 2016 07:48
URI: http://ir.unimas.my/id/eprint/11303

Actions (For repository members only: login required)

View Item View Item