Title :
Performance analysis of maximum likelihood arrangement in the receiver structure for LTE PCFICH aiming at low resource utilization using VLSI DSP techniques
Author :
Syed Ameer Abbas, S. ; Selvathi, D. ; Shobana, G. ; Thiruvengadam, S.J.
Author_Institution :
Dept. of Electron. & Commun. Eng, Mepco Schlenk Eng. Coll., Sivakasi, India
Abstract :
In Long Term Evolution (LTE) downlink systems, the Physical Control Format Indicator Channel (PCFICH) carries the control information about the number of Orthogonal Frequency Division Multiplexing (OFDM) symbols used for transmission of control information. In this paper, receiver structure using argument maximum in maximum likelihood (ML) algorithm that utilizes less hardware are proposed and implemented for decoding the CFI value. The proposed architectures are implemented in Virtex-6 xc6vlx240tff1156-1 FPGA device for various antenna configurations at base station and User Equipment (UE). The performance of the proposed architectures is analyzed and compared with the architecture already designed using argument minimum and direct methods in terms of timing cycles and resource complexity. It is shown that the proposed architectures use fewer amounts of hardware resources in FPGA compared to other methods.
Keywords :
Long Term Evolution; OFDM modulation; VLSI; antennas; field programmable gate arrays; integrated circuit design; maximum likelihood estimation; radio receivers; wireless channels; LTE PCFICH; Long Term Evolution downlink systems; VLSI DSP techniques; Virtex-6 xc6vlx240tff1156-1 FPGA device; antenna configurations; base station; control information; hardware resources; maximum likelihood arrangement; orthogonal frequency division multiplexing symbols; physical control format indicator channel; receiver structure; resource complexity; resource utilization; timing cycles; user equipment; Adders; Clocks; Computer architecture; Downlink; Receiving antennas; Vectors; Equalization Block; Folding; LTE; PCFICH; Receiver Processing Block; Superscalar; User Equipment; argument maximum; maximum likelihood;
Conference_Titel :
Communication and Network Technologies (ICCNT), 2014 International Conference on
Print_ISBN :
978-1-4799-6265-5
DOI :
10.1109/CNT.2014.7062759