Download Cooperative OFDM Underwater Acoustic Communications by Xilin Cheng, Liuqing Yang, Xiang Cheng PDF

By Xilin Cheng, Liuqing Yang, Xiang Cheng

Following underwater acoustic channel modeling, this ebook investigates the connection among coherence time and transmission distances. It considers the ability allocation problems with ordinary transmission situations, specifically short-range transmission and medium-long diversity transmission. For the previous state of affairs, an adaptive procedure is constructed in accordance with immediate channel kingdom info. the first concentration is on cooperative dual-hop orthogonal frequency department multiplexing (OFDM).This publication comprises the decomposed fountain codes designed to allow trustworthy communications with larger power potency. It covers the Doppler impact, which improves packet transmission reliability for powerful low-complexity mirror-mapping-based intercarrier interference cancellation schemes in a position to suppressing the intercarrier interference energy point. Designed for execs and researchers within the box of underwater acoustic communications, this ebook is usually compatible for advanced-level scholars in electric engineering or computing device science.

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Example text

2/ The MSE becomes higher for < 1. This is because with < 1, the older channel samples are weighted less and their channel statistic information is not fully utilized. Therefore, when the channel statistics is stationary, the optimal value of is 1. However, for UWA channels, where the channel statistics could change over time, it is suggested to choose as 1 1=L. L is the number of OFDM symbols within which the channel tap changing over time can be treated as a stationary process. 3/ It can be observed that the MSE with channel prediction is much smaller than the MSE without channel prediction.

The upper bound of the capacity of AF-based RA-UAC is u CRA . 21), respectively. u and u are chosen such that the total and individual power constraints are met; the lower bound of the capacity of AF-based RA-UAC is l . 30), respectively. b/ l and l are chosen such that the total and individual power constraints are met. 2 Optimal Power Allocation 21 Proof (Upper Bound of the Capacity of AF-Based RA-UAC). 5). 10) is a concave function over a convex set, it is a convex optimization problem. fk / can be obtained by solving the KKT conditions [3].

However, if the channel statistics is non-stationary, the recent channel samples should be weighted heavily by choosing < 1. n/ ! 2 MSE Analysis The prediction MSE at time n is given as Q C EP . 35) To analyze the prediction MSE, we consider the case that the channel is widesense stationary and D 1, and the following theorem is established. 2. , R. n and D 1, the MSE with channel prediction is given as lim EP . 1 Z. R C 2 1 e IN / Z. n ENP . n/, is given as

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