Abstract
In this work, we develop an analytical paradigm to analyze the average symbol error probability (ASEP) performance of uplink traffic in a multi-tier cellular network. The analysis is based on the recently developed Equivalent-in-Distribution approach that utilizes stochastic geometric tools to account for the network geometry in the performance characterization. Different from the other stochastic geometry models adopted in the literature, the developed analysis accounts for important communication system parameters and goes beyond signal-to-interference-plus-noise ratio characterization. That is, the presented model accounts for the modulation scheme, constellation type, and signal recovery techniques to model the ASEP. To this end, we derive single integral expressions for the ASEP for different modulation schemes due to aggregate network interference. Finally, all theoretical findings of the paper are verified via Monte Carlo simulations.
| Original language | English |
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| Title of host publication | 2015 IEEE International Conference on Communication Workshop, ICCW 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 87-93 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781467363051 |
| DOIs | |
| State | Published - 8 Sep 2015 |
Publication series
| Name | 2015 IEEE International Conference on Communication Workshop, ICCW 2015 |
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Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Aggregate interference distribution
- equivalent-indistribution
- multi-tier uplink cellular networks
- per user power control
- stochastic geometry
ASJC Scopus subject areas
- Computer Networks and Communications