Random Cellular Networks and Stochastic Geometry
In this chapter, we discuss the physical layer security in stochastic geometric networks. We first present the randomness of cellular networks deployment, and summarize the challenges to solve the physical layer security issue. We then introduce some prim
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Random Cellular Networks and Stochastic Geometry
Abstract In this chapter, we discuss the physical layer security in stochastic geometric networks. 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. Finally, we provide a brief survey of recent researches on physical layer security in wireless networks, and introduce three open problems in this field which we are going to deal with in the following chapters.
2.1 Deployment of Cellular Networks With the rapidly increasing demand of big traffic and high data rate, emerging wireless networks, such as heterogeneous cellular networks (HCNs), cognitive radio networks (CRNs), wireless ad hoc networks, etc., have drawn significant research interests in both academia and industry over the last decade. To protect the confidentiality of the data and information transmitted through wireless links in these networks, physical layer security approach is a very competitive solution due to its low complexity and flexibility. In Chap. 1 we have reviewed some techniques for enhancing the physical layer security of wireless transmissions. We note that all those techniques are initially developed for a point-to-point communication system, i.e., there is only one source destination pair under consideration. However, a wireless communication network can be viewed as a collection of transceivers located in an area, For example, a cellular network consists of a mass of base stations (BSs) and mobile user equipments (UEs) distributed in a city. Compared with a point-to-point communication system, the most significant difference in a wireless cellular network is that the transmission is highly interference-limited. In a cellular network, there are a large amount of concurrent transmissions between different BS-UE pairs sharing a same frequency band, which © The Author(s) 2016 H.-M. Wang and T.-X. Zheng, Physical Layer Security in Random Cellular Networks, SpringerBriefs in Computer Science, DOI 10.1007/978-981-10-1575-5_2
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2 Random Cellular Networks and Stochastic Geometry
causes ubiquitous interference in the whole network. For any receiver, the signals intended for the other receivers are treated as interferences. The aggregated interference will result in a great impact on the secrecy performance of a wireless link. As can be seen from the fact that secrecy performance depends heavily on the achievable rates at the legitimate destination and the potential eavesdroppers in Chap. 1, the ubiquitous interference will bring in two effects. On the one hand, the legitimate link rate R B
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