By Hui-Ming Wang, Tong-Xing Zheng
ISBN-10: 9811015740
ISBN-13: 9789811015748
ISBN-10: 9811015759
ISBN-13: 9789811015755
This e-book investigates key defense matters in reference to the actual layer for random instant mobile networks. It first introduces readers to the basics of knowledge theoretic safety within the actual layer. by way of reading lately brought safety concepts for instant point-to-point communications, the e-book proposes new recommendations to actual layer safety in response to stochastic geometric frameworks for random mobile networks. It as a result elaborates on physical-layer protection in multi-tier heterogeneous networks. With the hot modeled settings, the authors additionally determine the protection functionality with the influence of the full-duplex transceivers. the explicit version layout offered the following bargains a helpful element of reference for readers in comparable components. moreover, the ebook highlights promising subject matters and proposes capability destiny study directions.
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Extra resources for Physical Layer Security in Random Cellular Networks
Example text
34, 35] have derived closed-form expressions for both coverage probability and per user rate by using tools from stochastic orders, which nevertheless are not analytically tractable. Adhikary et al. [36] have proposed interference coordination strategies through spatial blanking by exploiting the directionality in channel vectors at the massive MIMO regime. Li et al. in a very recent contribution [37] have developed a semi-closed expression for success probability in a multiuser MIMO HCN, where the tradeoff between link reliability and the area spectrum efficiency has been discussed.
We first present the randomness of cellular networks deployment, and summarize the challenges to solve the physical layer security issue. We then introduce some primary knowledge of stochastic geometry theory, especially some useful properties of Poisson point process, which will be extensively used in the following chapters. It is concluded that various random wireless networks can be modeled and analyzed using the framework of stochastic geometry. Moreover, we introduce the network security performance metrics to evaluate the physical layer security.
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