Abstract:Abstract-Many software based OFDM techniques were proposed from last half decade to improve the performance of the system. This paper tried to implement the same with Hardware implementation. We created Hardware based MISO platform with OFDM. We implemented Alamouti algorithm on this test bed. The test bed is implemented with the help of Field Programmable Gate Array (FPGA). The test bed is functionalized with the help of FPGA through Xilinx based system generator for DSP. In this paper we considered the 2×1 M… Show more
“…When compared to the literature with 49,83–89 and optical systems, 90–92 Table 21 indicates that the findings obtained are suitable for system designs to achieve high data rates from 10.9 Gbps to 50 Gbps with a BER of 10 −3 to 10 −4 . The suggested technique describes MIMO‐OFDM programmable and reconfigurable co‐design, simulation, and implementation using a model‐based and SoC platform with computer architecture performances that are PS, Mali‐400 GPU, and Programmable Logic (PL).…”
Section: Comparative Analysis Of Mimo‐ofdm System Architecturementioning
confidence: 98%
“…When compared to the literature with 49,[83][84][85][86][87][88][89] and optical systems, [90][91][92] Table 21 indicates that the findings obtained are suitable for system designs to achieve high data rates from 10.9 Gbps to 50 Gbps with a BER of 10 83 MIMO-OFDM has a data rate of 1347.2 Mbps, or 1 Gbps, and uses a Simulink implementation on an FPGA implementation. 84 Kilaru implemented a MISO OFDM system with a 100 Mbps data throughput and a BER of 10 −4 at an SNR of 18 dB.…”
Section: Comparative Analysis Of Mimo-ofdm Data Rate With Literaturementioning
confidence: 99%
“…84 Kilaru implemented a MISO OFDM system with a 100 Mbps data throughput and a BER of 10 −4 at an SNR of 18 dB. 86 Riberio and Gameiro demonstrated on-the-fly scalable band width from 20 to 61.44 MHz with a data rate of 500 Mbps using 256-QAM with a BER of 10 −2 and SNR ranging from 10 to 40 dB for different modulation-based OFDM with LTE-like transceiver implementation using COTS FPGA and RF development boards. The design of OFDM-based transceivers is fully pipelined to fulfill the envisioned 5G bandwidth demands.…”
Section: Comparative Analysis Of Mimo-ofdm Data Rate With Literaturementioning
confidence: 99%
“…MIMO‐OFDM has a data rate of 1347.2 Mbps, or 1 Gbps, and uses a Simulink implementation on an FPGA implementation 84 . Kilaru implemented a MISO OFDM system with a 100 Mbps data throughput and a BER of 10 −4 at an SNR of 18 dB 86 . Riberio and Gameiro demonstrated on‐the‐fly scalable band width from 20 to 61.44 MHz with a data rate of 500 Mbps using 256‐QAM with a BER of 10 −2 and SNR ranging from 10 to 40 dB for different modulation‐based OFDM with LTE‐like transceiver implementation using COTS FPGA and RF development boards.…”
Section: Comparative Analysis Of Mimo‐ofdm System Architecturementioning
With the emerging challenges for the data rate requirements of 5G/6G applications and reusing the 4G infrastructure for 5G, it is necessary to understand the System‐on‐Chip (SoC) platform‐based embedded co‐design and implementation of the programmable and reconfigurable MIMO‐OFDM system. For both uplink and downlink data transmissions, these applications require a larger data throughput as well as reduced bit error rates, latency, and increased spectral efficiency. This work describes the co‐design and development of hardware and software for the MIMO‐OFDM algorithms for 5G and 6G eNodeBs. An efficient design through computer architecture based on pipeline and parallelization using systolic and CORDIC has been applied for the IP development of the sub‐components of the MIMO‐OFDM systems. A Zynq platform with computing resources including PS, Mali GPU‐400, and PL is utilized to increase the data rate for MIMO‐OFDM system architecture co‐design and implementation. The architecture approach used in this work enabled a data rate of 10–50 Gbps and beyond reaching Tbps based on the system's programmability and reconfigurability with an efficient SoC platform design. The design platform provides a programming feature such as MIMO‐OFDM, OFDM, and MIMO without OFDM through software programming for the range of applications of the desired data rates. With 64‐QAM modulation, the three channels' observed performance in the predicted multipath channel velocity of 15 km/h for pedestrians, vehicles, and AWGN is seen in simulation. To reach the application clock frequencies, the device's PLL (ZUI7EG) upscales and downscales clock frequencies from 750 to 1600 MHz using a configurable register. When the system is configured to operate as MIMO‐OFDM or OFDM in order to get an execution throughput of 300 msec and a data throughput ranging from 71 Gbps to 1749 Gbps using 2 × 2/4 × 4 configurations. The device scalability depends on at present devices of advanced embedded reconfigurable architecture platform. Massive MIMO and multi‐user MIMO will be used in the future to increase throughput and data rates. Additionally, future work will focus on creating a MIMO‐OFDM hardware‐software embedded architecture and testbed to enhance implementation and verification of the vehicle and pedestrian.
“…When compared to the literature with 49,83–89 and optical systems, 90–92 Table 21 indicates that the findings obtained are suitable for system designs to achieve high data rates from 10.9 Gbps to 50 Gbps with a BER of 10 −3 to 10 −4 . The suggested technique describes MIMO‐OFDM programmable and reconfigurable co‐design, simulation, and implementation using a model‐based and SoC platform with computer architecture performances that are PS, Mali‐400 GPU, and Programmable Logic (PL).…”
Section: Comparative Analysis Of Mimo‐ofdm System Architecturementioning
confidence: 98%
“…When compared to the literature with 49,[83][84][85][86][87][88][89] and optical systems, [90][91][92] Table 21 indicates that the findings obtained are suitable for system designs to achieve high data rates from 10.9 Gbps to 50 Gbps with a BER of 10 83 MIMO-OFDM has a data rate of 1347.2 Mbps, or 1 Gbps, and uses a Simulink implementation on an FPGA implementation. 84 Kilaru implemented a MISO OFDM system with a 100 Mbps data throughput and a BER of 10 −4 at an SNR of 18 dB.…”
Section: Comparative Analysis Of Mimo-ofdm Data Rate With Literaturementioning
confidence: 99%
“…84 Kilaru implemented a MISO OFDM system with a 100 Mbps data throughput and a BER of 10 −4 at an SNR of 18 dB. 86 Riberio and Gameiro demonstrated on-the-fly scalable band width from 20 to 61.44 MHz with a data rate of 500 Mbps using 256-QAM with a BER of 10 −2 and SNR ranging from 10 to 40 dB for different modulation-based OFDM with LTE-like transceiver implementation using COTS FPGA and RF development boards. The design of OFDM-based transceivers is fully pipelined to fulfill the envisioned 5G bandwidth demands.…”
Section: Comparative Analysis Of Mimo-ofdm Data Rate With Literaturementioning
confidence: 99%
“…MIMO‐OFDM has a data rate of 1347.2 Mbps, or 1 Gbps, and uses a Simulink implementation on an FPGA implementation 84 . Kilaru implemented a MISO OFDM system with a 100 Mbps data throughput and a BER of 10 −4 at an SNR of 18 dB 86 . Riberio and Gameiro demonstrated on‐the‐fly scalable band width from 20 to 61.44 MHz with a data rate of 500 Mbps using 256‐QAM with a BER of 10 −2 and SNR ranging from 10 to 40 dB for different modulation‐based OFDM with LTE‐like transceiver implementation using COTS FPGA and RF development boards.…”
Section: Comparative Analysis Of Mimo‐ofdm System Architecturementioning
With the emerging challenges for the data rate requirements of 5G/6G applications and reusing the 4G infrastructure for 5G, it is necessary to understand the System‐on‐Chip (SoC) platform‐based embedded co‐design and implementation of the programmable and reconfigurable MIMO‐OFDM system. For both uplink and downlink data transmissions, these applications require a larger data throughput as well as reduced bit error rates, latency, and increased spectral efficiency. This work describes the co‐design and development of hardware and software for the MIMO‐OFDM algorithms for 5G and 6G eNodeBs. An efficient design through computer architecture based on pipeline and parallelization using systolic and CORDIC has been applied for the IP development of the sub‐components of the MIMO‐OFDM systems. A Zynq platform with computing resources including PS, Mali GPU‐400, and PL is utilized to increase the data rate for MIMO‐OFDM system architecture co‐design and implementation. The architecture approach used in this work enabled a data rate of 10–50 Gbps and beyond reaching Tbps based on the system's programmability and reconfigurability with an efficient SoC platform design. The design platform provides a programming feature such as MIMO‐OFDM, OFDM, and MIMO without OFDM through software programming for the range of applications of the desired data rates. With 64‐QAM modulation, the three channels' observed performance in the predicted multipath channel velocity of 15 km/h for pedestrians, vehicles, and AWGN is seen in simulation. To reach the application clock frequencies, the device's PLL (ZUI7EG) upscales and downscales clock frequencies from 750 to 1600 MHz using a configurable register. When the system is configured to operate as MIMO‐OFDM or OFDM in order to get an execution throughput of 300 msec and a data throughput ranging from 71 Gbps to 1749 Gbps using 2 × 2/4 × 4 configurations. The device scalability depends on at present devices of advanced embedded reconfigurable architecture platform. Massive MIMO and multi‐user MIMO will be used in the future to increase throughput and data rates. Additionally, future work will focus on creating a MIMO‐OFDM hardware‐software embedded architecture and testbed to enhance implementation and verification of the vehicle and pedestrian.
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