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By Biao Song, Wei Tang, Tien-Dung Nguyen, Sang-Ho Na (auth.), Tai-hoon Kim, Hojjat Adeli, Wai-chi Fang, Thanos Vasilakos, Adrian Stoica, Charalampos Z. Patrikakis, Gansen Zhao, Javier García Villalba, Yang Xiao (eds.)

The quantity set, CCIS 265 and CCIS 266, constitutes the refereed court cases of the overseas convention, FGCN 2011, held as a part of the longer term iteration details expertise convention, FGIT 2011, Jeju Island, Korea, in December 2011. The papers offered have been conscientiously reviewed and chosen from a number of submissions and concentrate on a number of the facets of destiny iteration communique and networking.

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Review:
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Additional resources for Communication and Networking: International Conference, FGCN 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, December 8-10, 2011. Proceedings, Part II

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S = pH1T ⊕ mH 2T = 0 . We can write the parity vector (3) p in terms of the message vector m as p = mH 2T H1−T . 2 LDPC Decoding LDPC decoder calculates the probability in variable nodes and check nodes, respectively. LDPC decoding algorithm can be divided into sum-product algorithm (SPA) and min-sum algorithm (MSA). SPA has better BER performance, but higher complexity. We use SPA to process LDPC decoding. LDPC decoder process 4 steps. Step 1 is initialized step. Step 2 is updating check nodes step.

When the vehicle 2 receives the acknowledgement signal, the response time is recorded. Results: The link setup time is approximately 1ms regardless of the vehicle speed and packet size. 4 29 Latency Measurement Setup: The setup for measuring latency is the same as the link setup time measurement. The only difference is in the measured layer. Link setup time is measured between the MAC layers of the transmitter and receiver, whereas the latency is measured between the application layers. Results: Our measurement results reveal that the latency is different depending on the packet size, and the vehicle speed does not affect the latency.

If we use this method, proposed system can improve performance because it corrects estimated channel response more accurately. In addition, proposed system can reduce complexity because it has a lower number of iterations than system that does not include feedback at same performance. We evaluate performance of OFDM system considered CFO and phase noise in multipath channel via simulation. Keywords: Decision feedback equalizer, LDPC, MSE, iteration number, CFO, phase noise, OFDM. 1 Introduction LDPC code is well known as a good performance channel coding method.

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