Analysis of efficiency, reliability and security of communication networks form standpoint of multiterminal information theory

给出了基于数制的区间随机数生成算法的一个显式评价。利用这个表达式，我们得到了一个改进的区间算法的性能分析界。我们制定了一个新的方案的随机数产生使用的多终端信源编码系统的框架，并给出了它的解决方案。考虑的情况下，许多分布式传感器观察噪声版本的发射信号。这些噪声数据被单独编码并发送到一个信息中心，CEO（首席执行官）希望在那里重建信号。在这种通信系统中，确定估计误差和传输速率之间的折衷的问题被称为CEO问题。1998年，首席研究员解决了高斯CEO问题，其中发射的信号是高斯信号，观察到的信号是被独立的加性白色高斯噪声破坏的信号的噪声版本。在2005年，我们扩展了 ...更多信息 高斯CEO问题我们进一步推广了2005年的结果。我们还将高斯CEO问题推广到发射信号和加性噪声均为高斯随机向量的情况，并得到了该问题的部分解。我们已经考虑了离散CEO问题，并推导出最优传输速率的上界和下界。讨论了传感器网络与多端信息理论的密切关系，表明我们的研究结果对传感器网络理论的构建具有重要意义。我们考虑一个中继信道，中继帮助从一个发送者到一个接收者的消息传输。中继站不仅是帮助信息传输的发送者，而且是能够获取信息的窃听者。2001年，研究组组长研究了在部分传输信息对中继来说是保密的情况下，中继信道的编码问题。他对这个问题给出了部分解决办法.我们重新考虑了这个问题，并给出了一类中继信道的完整解。少

We gave an explicit evaluation of the interval algorithm for random number generation based on the number system. Using this expression we obtain an improved bound on the performance analysis of the interval algorithm. We formulate a new scheme of random number generation using the framework of multiterminal source coding system and gave the solution to it. Consider the situation where many distributed sensors observe noisy versions of an emitted signal. Those noisy data are separately encoded and sent to one information center, where the CEO(Chief Executive Officer) wishes to reconstruct the signal. In this communication system the problem to determine the trade-off between the estimation error and transmission rates is called the CEO problem. In 1998, the head investigator solved the Gaussian CEO problem, where the emitted signal is Gaussian and the observed signals are noisy version of the signal corrupted by independent additive white Gaussian noises. In 2005 we extended the result … More of Gaussian CEO problem. We have further extended the result we obtain in 2005. We have also extended the Gaussian CEO problem to the case where the emitted signal and additive noises are Gaussian random vector and have obtained partial solution to this problem. We have considered the discrete CEO problem and have derived upper and lower bounds of the optimal transmission rate. We have discussed the close relation between sensor networks and multiterminal information theory, demonstrating that our obtained results play important roles in the construction of theory of sensor networks. We consider a relay channel where a relay helps the transmission of messages from one sender to one receiver. The relay is considered not only as a sender that helps the message transmission but as a wire-tapper who can obtain some knowledge about the transmitted messages. In 2001 the head investigator studied the coding problem of the relay channel under the situation that some of transmitted messages are confidential to the relay. He gave a partial solution to this problem. We considered the problem again and gave the complete solution for a class of relay channels. Less