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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Peng Guan Di Renzo, M. Duong, T.Q. |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Electron., Electr. Eng. & Comput. Sci., Queen's Univ. Belfast, Belfast, UK (Duong, T.Q.) || Lab. of Signals & Syst., Paris-Saclay Univ., Gif-sur-Yvette, France (Peng Guan; Di Renzo, M.) |
| Abstract | In this paper, a mathematical framework for evaluating the error probability of downlink Multiple-Input-Multiple-Output (MIMO) cellular networks is introduced. It is based on the Poisson Point Process (PPP)-based abstraction for modeling the spatial locations of the Base Stations (BSs) and it exploits results from stochastic geometry to characterize the distribution of the other-cell interference. The framework is applicable to spatial multiplexing MIMO systems with an arbitrary number of antennas at the transmitter (Nt) and at the receiver (Nr). It is shown that the proposed framework leads to easy-to-compute integral expressions, which provide insights for network design and optimization. The accuracy of the mathematical analysis is substantiated through extensive Monte Carlo simulations for various MIMO cellular network setups. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 212903 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479980918 |
| DOI | 10.1109/VTCFall.2015.7391156 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Error probability MIMO Mathematical model Stochastic processes Interference Geometry Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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