Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: An adaptive low-power LDPC decoder using SNR estimation | Park and Chung EURASIP Journal on Wireless Communications and Networking 2011 2011 48 EURASIP Journal on . http content 20ii i 48 Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access An adaptive low-power LDPC decoder using SNR estimation Joo-Yul Park and Ki-Seok Chung Abstract Owing to advancement in 4 G mobile communication and mobile TV the throughput requirement in digital communication has been increasing rapidly. Thus the need for efficient error-correcting codes is increasing. Furthermore since most mobile devices operate with limited battery power low-power communication techniques are attracting considerable attention lately. In this article we propose a novel low-power low-density parity check LDPC decoder. The LDPC code is one of the most common error-correcting codes. In mobile TV SNR estimation is required for the adaptive coding and modulation technique. We apply the SNR estimation result to the proposed LDPC decoding to minimize power consumption due to unnecessary operations. The SNR estimation value is used for predicting the iteration count until the completion of the successful LDPC decoding. When the SNR value is low we omit computing the parity check and the tentative decision. We implemented the proposed decoder which is capable of adaptively skipping unnecessary operations based on the SNR estimation. The power consumption was measured to show the efficiency of our approach. We verified that by using our proposed method power consumption is reduced by 10 for the SNR range of dB. Keywords LDPC decoder SNR estimation low power 1. Introduction Recent advances in 4 G mobile communication systems require reliable high transmission rates. The bandwidth requirement for high speed 4 G information transfer is 100 Mbps while the requirement for low-speed or stationary-state transfer is 155 Mbps-1 Gbps. Thus the use of powerful error-correcting codes is crucial for the next generation mobile
