Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Permanent link to this recordhttp://hdl.handle.net/10754/622545
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AbstractIn 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.
CitationAfify LH, ElSawy H, Al-Naffouri TY, Alouini M-S (2015) Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach. 2015 IEEE International Conference on Communication Workshop (ICCW). Available: http://dx.doi.org/10.1109/ICCW.2015.7247160.
Conference/Event nameIEEE International Conference on Communication Workshop, ICCW 2015