First, the S-CDMA-HFC system with integrated traffic is introduced and the method of traffic integration is given. Second, the upstream channel capacity of the S-CDMA-HFC system with integrated traffic that has the same rate is analyzed. The chronoff limit and Gaussian approximate equation of the upstream channel cutoff probability are derived. Third, the impact of the selection of the line transmission rate on the upstream channel capacity of the S-CDMA-HFC system with integrated traffic is discussed in detail. The cutoff probability and throughout equations of the upstream channel with different integrated traffic are derived. Fourth, the impact of the power control error on the capacity is discussed. Results show that the power control error will degrade the upstream channel capacity and have different influence on the different traffic. Finally, the capacity requirement of the initialization process is raised. Analytical results show that the initialization process will impact on the capacity slightly.

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It is essentially the study of Shannon theorem which states that "it is possible to transmit information through a noisy channel at any rate less than channel capacity with an arbitrarily small probability of error" This course is intented to introduces the basic information theory.

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In the channel state information, and the method of channel capacity.

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To reach the channel capacity is the ultimate objective of the research on channel coding theory.

達到Shannon限是信道編碼理論研究的根本目標迷奸黄色网站在线观看。

Compared with some typical systems, the results of channel capacity analysis of MIMO channel are given.

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This article introduces the channel capacity based on Rayleigh channel and gives the function.

本文介紹了MIMO中系統(tǒng)的信道容量免费A级毛片无码A∨中文，給出了Rayleigh信道下MIMO系統(tǒng)的信道容量表達式。

The topics covered include the basic concepts of information theory--entropy, mutual information, channel capacity, information rate, Shannon's noiseless coding theorem and Shannon's fundamental coding theorem; modeling of information sources--zero-memory and Markov models; modeling of information channels--BSC and BEC channels, additivity of information and cascaded channels; construction of compact source codes--Kraft inequality, compact codes, Huffman and LZW compression codes; and analysis and design of error-control channel codes--Hamming distance, binary linear codes and the parity-check matrix, Hamming codes, checksum codes, cyclic codes and the generator polynomial and CRC codes.

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However, system delays (such as processing time, channel information collection time, etc) are unavoidable so that the base station can only know the delayed channel information at most. These delays make the current subchannel and power allocation scheme not optimal to the current channel condition, which decreases the channel capacity gain of dynamic resource allocation over fixed allocation.

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Its ideal is that modulation mode can be adaptively adjusted by estimating such wireless parameters as fading degree,channel traffic and etc. Channel capacity will achieve a maximum and system performance will be best anytime. By this way,although mobile wireless channel broadband is more and more congesting today,adaptive modulation can be provided preferable spectral efficiency and can be increased the information transmission rate.

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The optimum channel capacity for using diversity technique in the Nakagami fading or Weibull fading channels has been derived based on the optimum capacity of multi-antenna Gaussian channel model.

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