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Multiple users and data streams must be processed concurrently in a contemporary communication system based on existing 4G and future 5G technology. A Channelizer for 5G is used to segregate many users or channels from a single communication stream, requires a front-end transceiver to be able to broadcast and receive several channels at the same time.


A channelization process is in charge of three fundamental tasks.


  • Signal up/down conversion (mixing)
  • Sample rate change
  • Filtering

To fulfill performance requirements, the channelizer’s operations are conducted prior to frequency decimation and would most likely be implemented in an FPGA, ASIC, or structured ASIC. The full channelization structure might be implemented in a single FPGA with a 64-channel design, readily fitting into an Altera Stratix II or Xilinx Virtex II chip.


Modeling the channelizer for 5G algorithms is possible using a range of tools, including block-level environments like Simulink, general-purpose programming languages like C or C++, hardware-specific modeling languages like VHDL or Verilog, and mathematical programming languages like MATLAB.


A channelizer for 5G with a capacitor is utilized to minimize power consumption while boosting bandwidth capacity. The sample rate and dynamic range requirements are reduced using this channelizer. The Faststream’s main goal was to extend battery life, which resulted in a faster, lower-power 5G operation.




  • Larger bandwidth, reduced power, greater dynamic range, and scalability.
  • Low-power channelization for 5G devices across a broader frequency range.
  • Low-cost implementation using CMOS compatible technology.
  • Image/video processing with high quality and minimal power for drone image data.
  • Improved efficiency in using the existing transmission spectrum.