Physical Layer Security in Downlink Multi-Antenna Cellular Networks
Preprint
Abstract
In this paper, we study physical layer security for the downlink of cellular networks, where the confidential messages transmitted to each mobile user can be eavesdropped by both (i) the other users in the same cell and (ii) the users in the other cells. The locations of base stations and mobile users are modeled as two independent two-dimensional Poisson point processes. Using the proposed model, we analyze the secrecy rates achievable by regularized channel inversion (RCI) precoding by performing a large-system analysis that combines tools from stochastic geometry and random matrix theory. We obtain approximations for the probability of secrecy outage and the mean secrecy rate, and characterize regimes where RCI precoding achieves a nonzero secrecy rate. We find that unlike isolated cells, the secrecy rate in a cellular network does not grow monotonically with the transmit power, and the network tends to be in secrecy outage if the transmit power grows unbounded. Furthermore, we show that there is an optimal value for the base station deployment density that maximizes the secrecy rate, and this value is a decreasing function of the signal-to-noise ratio.Keywords
All Related Versions
- Version 1, 2013-07-27, ArXiv
- Published version: IEEE Transactions on Communications, 62 (6), 2006.
This publication has 31 references indexed in Scilit:
- Principles of Physical Layer Security in Multiuser Wireless Networks: A SurveyIEEE Communications Surveys & Tutorials, 2014
- On the Optimality of Linear Precoding for Secrecy in the MIMO Broadcast ChannelIEEE Journal on Selected Areas in Communications, 2013
- Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential MessagesIEEE Journal on Selected Areas in Communications, 2013
- Linear Precoding for Broadcast Channels with Confidential Messages under Transmit-Side Channel CorrelationIEEE Communications Letters, 2013
- Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular NetworksIEEE Journal on Selected Areas in Communications, 2012
- Random Matrix Methods for Wireless Communications2011
- Physical layer security in wireless networks: a tutorialIEEE Wireless Communications, 2011
- MIMO techniques in WiMAX and LTE: a feature overviewIEEE Communications Magazine, 2010
- A Vector-Perturbation Technique for Near-Capacity Multiantenna Multiuser Communication—Part I: Channel Inversion and RegularizationIEEE Transactions on Communications, 2005
- An introduction to the multi-user MIMO downlinkIEEE Communications Magazine, 2004