scholarly journals Low Power Decoding of LDPC Codes

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Mohamed Ismail ◽  
Imran Ahmed ◽  
Justin Coon

Wireless sensor networks are used in many diverse application scenarios that require the network designer to trade off different factors. Two such factors of importance in many wireless sensor networks are communication reliability and battery life. This paper describes an efficient, low complexity, high throughput channel decoder suited to decoding low-density parity-check (LDPC) codes. LDPC codes have demonstrated excellent error-correcting ability such that a number of recent wireless standards have opted for their inclusion. Hardware realisation of practical LDPC decoders is a challenging area especially when power efficient solutions are needed. Implementation details are given for an LDPC decoding algorithm, termed adaptive threshold bit flipping (ATBF), designed for low complexity and low power operation. The ATBF decoder was implemented in 90 nm CMOS at 0.9 V using a standard cell design flow and was shown to operate at 250 MHz achieving a throughput of 252 Gb/s/iteration. The decoder area was 0.72 mm2 with a power consumption of 33.14 mW and a very small energy/decoded bit figure of 1.3 pJ.

Author(s):  
J. H. Kong ◽  
J. J. Ong ◽  
L.-M. Ang ◽  
K. P. Seng

This chapter presents low complexity processor designs for energy-efficient security and error correction for implementation on wireless sensor networks (WSN). WSN nodes have limited resources in terms of hardware, memory, and battery life span. Small area hardware designs for encryption and error-correction modules are the most preferred approach to meet the stringent design area requirement. This chapter describes Minimal Instruction Set Computer (MISC) processor designs with a compact architecture and simple hardware components. The MISC is able to make use of a small area of the FPGA and provides a processor platform for security and error correction operations. In this chapter, two example applications, which are the Advance Encryption Standard (AES) and Reed Solomon (RS) algorithms, were implemented onto MISC. The MISC hardware architecture for AES and RS were designed and verified using the Handel-C hardware description language and implemented on a Xilinx Spartan-3 FPGA.


2018 ◽  
pp. 14-1-14-23
Author(s):  
Brian P. Otis ◽  
Yuen Hui Chee ◽  
Richard Lu ◽  
Nathan M. Pletcher ◽  
Jan M. Rabaey ◽  
...  

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