Design and Hardware Implementation of Polar Codes Using Verilog for Digital Systems

Project Code :TVMAFE775

Objective

The objective of this project is to design and implement Polar codes using Verilog HDL for digital systems to provide efficient and reliable error correction. It aims to develop hardware modules for encoding and decoding that optimize area, speed, and power consumption. The project also seeks to demonstrate the applicability of Polar codes in real-time communication and data storage systems.

Abstract

Polar codes, introduced by Arkan, are capacity achieving error-correcting codes and have been adopted in a new 5G radio (NR) for encoding control channels due to their structured construction and efficient decoding. De spite extensive theoretical research, many existing designs lack attention to practical hardware constraints, particularly latency and synthesis complexity. Decoder architectures often struggle with scalability and parallelism, resulting in increased area and power consumption issues critical in embedded and resource-constrained environments. This work proposes a fully synthesized verilog RTL implementation of a 64-bit polar code encoder and a corresponding successive cancellation (SC) decoder, optimized for low-power, high-throughput digital systems. The encoder leverages Kronecker-based generator matrices for recursive encoding, while the SC decoder uses a depth-first traversal with hardware-efficient soft-decision logic. The design is modeled, synthesized, and validated on a 45 nm CMOStechnology node using Xilinx Vivado. Area, power, and delay analysis confirm the design’s efficiency and suitability for real-time digital communication systems. 


Index Terms—Polar codes, Verilog, 5G NR, Hardware im plementation, Successive cancellation decoding, Digital VLS

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

tools used: xilinx vivado

Learning Outcomes

  1. Understand the theory of Polar codes and channel polarization.

  2. Gain skills in Verilog HDL coding for digital hardware implementation.

  3. Learn to design efficient encoder and decoder circuits for error correction.

  4. Analyze trade-offs between hardware complexity, speed, and error correction performance.

  5. Develop understanding of FPGA/ASIC integration for digital communication systems.

  6. Apply Polar codes in real-time and energy-efficient digital systems.

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