MIMO-OFDM LTE system based on a parallel IFFT/FFT on NoC-based FPGA

Abstract

The growing demand for wireless devices capable of performing complex communication processes has imposed an urgent need for high-speed communication systems and advanced network processors. This paper proposes a hardware workflow developed for the Long Term Evolution (LTE) communication system. It studies the Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) LTE system. Specifically, this work focuses on the implementation of the OFDM block that dominates the execution time in high-speed communication systems. To achieve this goal, we have proposed an NoC-based low-latency OFDM LTE multicore system that leverages Inverse Fast Fourier Transform (IFFT) parallel computation on a variable number of processing cores. The proposed multicore system is implemented on an FPGA platform using the ProNoC tool, an automated rapid prototyping platform. Our obtained results show that LTE OFDM execution time is drastically reduced by increasing the number of processing cores. Nevertheless, the NoC's parameters, such as routing algorithm and topology, have a negligible influence on the overall execution time. The implementation results show up to 24% and 76% execution time reduction for a system having 2 and 16 processing cores compared to conventional LTE OFDM implemented in a single-core, respectively. We have found that a 4×4 Mesh NoC with XY deterministic routing connected to 16 processing tiles computing IFFT task is the most efficient configuration for computing LTE OFDM. This configuration is 4.12 times faster than a conventional system running on a single-core processor.

FPGA implementation of DTCWT architecture's high-speed DA structure for OFDM-based transceiver with CS

“…From ( 9), removing the common factor of 25 from the second and fourth terms and setting the summation limits for n=1 to 4, in (10) is obtained. DA structure realizing in (10). 1075 terms of latency and throughput.…”

“…Topics covered include the system architecture, various signal processing approaches, and performance testing. The results of the experiments show that the combined compressive sensing (CS) and DTCWT approach is effective for dependable signal recovery while using a low amount of electricity [10], [11]. CS and DTCWT processing modules nested within an FPGA-based mm-wave transceiver are two solutions that we recommend [12] for resolving the challenges at hand.…”

Performance Analysis of Combining Beamforming and ZF/MMSE-SIC Equalization Techniques for MIMO DWPT-COFDM Systems

“…When coupled with Multiple Input Multiple Output (MIMO) spatial multiplexing, these systems deploy multiple antennas at each end, enhancing capacity and spectral efficiency [9][10][11][12][13]. They rely on the Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) algorithms, which have drawbacks, including side-lobes due to a rectangular window and the need for a Cyclic Prefix (CP) to mitigate ISI, consuming 25% bandwidth [14][15][16][17].…”