Rate‐adaptive indoor infrared wireless communication systems using punctured convolutional codes and adaptive PPM

2001 ◽  
Vol 84 (8) ◽  
pp. 31-39
Author(s):  
Michihito Matsuo ◽  
Tomoaki Ohtsuki ◽  
Iwao Sasase ◽  
Tomoyuki Udagawa
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
Convolutional Codes ◽  
Wireless Communication Systems ◽  
Rate Adaptive ◽  
Punctured Convolutional Codes

Design and Implementation of an Efficient Parallel LFSR Architecture for Wireless Communication Systems

2019 ◽  
Vol 14 ◽  
Author(s):  
A. Suresh Babu ◽  
B. Anand
Keyword(s):  
Wireless Communication ◽  
Power Consumption ◽  
Low Power ◽  
Communication Systems ◽  
High Speed ◽  
Design Tool ◽  
Shift Register ◽  
Linear Feedback ◽  
Wireless Communication Systems ◽  
Coverage Area

: A Linear Feedback Shift Register (LFSR) considers a linear function typically an XOR operation of the previous state as an input to the current state. This paper describes in detail the recent Wireless Communication Systems (WCS) and techniques related to LFSR. Cryptographic methods and reconfigurable computing are two different applications used in the proposed shift register with improved speed and decreased power consumption. Comparing with the existing individual applications, the proposed shift register obtained >15 to <=45% of decreased power consumption with 30% of reduced coverage area. Hence this proposed low power high speed LFSR design suits for various low power high speed applications, for example wireless communication. The entire design architecture is simulated and verified in VHDL language. To synthesis a standard cell library of 0.7um CMOS is used. A custom design tool has been developed for measuring the power. From the results, it is obtained that the cryptographic efficiency is improved regarding time and complexity comparing with the existing algorithms. Hence, the proposed LFSR architecture can be used for any wireless applications due to parallel processing, multiple access and cryptographic methods.

Sign in / Sign up

Export Citation Format

Share Document