Browsing by Author "Adiono, Trio"

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    A Comparative Study of Channel Estimation Based on Symbol Source of Pilot for Downlink OFDMA System on IEEE 802.16e Standard
    (Pusat Penelitian Institut Teknologi Telkom, 2009-06) Galih, Savitri; Karlina, Riafeni; Nugroho, Fifin; Adiono, Trio; Kurniawan, Adit
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    FOLDING MEMORY SHARED PROCESSOR ARRAY (FMSPA) ARCHITECTURE FOR CHANNEL ESTIMATION OF DOWNLINK OFDMA IEEE 802.16E SYSTEM
    (IEEE Computer Sociaty and University of Bedfordshire, 2011-04-04) Galih, Savitri; Adiono, Trio; Iskandar
    Abstract—The implementation of complex signal processing algorithms are required to achieve robust transmission, whereas mobile wireless application require low power dissipation. This paper describes an algorithm and a corresponding hardware architecture for the implementation of OFDMA 802.16e channel estimation. The advantage of the proposed architecture are low power and efficient resource utilization since we use iterative memory shared architecture that exploits reutilization of the processor elements and memory units. The higher data access scheme is utilized by scheduled memory sharing with common bus. Furthermore, we increase parallel efficiency by folding the architecture to reduce the number of processor elements.
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    ITERATIVE MEMORY SHARED PROCESSOR ARRAY (MSPN ARCHITECTURE DESIGN FOR CHANNEL ESTIMATION OF DOWNLINK OFDM IEEE 802.16A SYSTEM
    (International Journal of Computer Science and Network Security, 2011-10-30) Galih, Savitri; Adiono, Trio; Kurniawan, Adit; Iskandar
    WiMAX communication system has spectrum alocation that enable wireless service operator to operate throughout the world including the rural area. WiMAX is suitable for development country condition, where wiring infrastructures are limited. This advantages make WiMAX become a desirable future wireless technology that can be implemented in an developed archipelago country like Indonesia. WiMAX Communication System needs accurate channel estimation process to predict fluctuative channel condition in order to equalize received signal with the transmitted signal. Channel Estimation recent studies, mostly analyzed the algorithm side without considering implementation issue. The hardware implementation of complex signal processing algorithm such as MMSE(Minimum Mean Square Error) chamel estimation with high computational complexity. are required to achieve robust trasmission, whereas mobile wireless aplication require low power dissipation. Therefore we need an algorithm mapping method to the corresponding hardware architecture that practically fits with overall system hardware. The proposed architecture aims to achieve low power and efficient resource utilization by using iterative memory shared architecture.
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    LOW COMPLEXITY MMSE CHANNEL ESTIMATION BY WEIGHT MATRIX ELEMENTS SAMPLING FOR DOWNLINK OFDMA MOBILE WIMAX SYSTEM
    (IJCSNS : DAE-SANG OFFICE 301, SANGDO 5 DONG 509-1, DONGJACK GU, SEOUL - 156-741 KOREA, 2010-02) Galih, Savitri; Adiono, Trio; Kurniawan, Adit
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