@ARTICLE{TCOM2012, 
author={Zanella, A. and Zorzi, M.}, 
  abstract = {In this paper, we address the problem of computing the probability
	that r out of n interfering wireless signals are "captured," i.e.,
	received with sufficiently large Signal to Interference plus Noise
	Ratio (SINR) to correctly decode the signals by a receiver with multi-packet
	reception (MPR) and Successive Interference Cancellation (SIC) capabilities.
	We start by considering the simpler case of a pure MPR system without
	SIC, for which we provide an expression for the distribution of the
	number of captured packets, whose computational complexity scales
	with n and r. This analysis makes it possible to investigate the
	system throughput as a function of the MPR capabilities of the receiver.
	We then generalize the analysis to SIC systems. In addition to the
	exact expressions for the capture probability and the normalized
	system throughput, we also derive approximate expressions that are
	much easier to compute and provide accurate results in some practical
	scenarios. Finally, we present selected results for some case studies
	with the purpose of illustrating the potential of the proposed mathematical
	framework and validating the approximate methods.},
journal={Communications, IEEE Transactions on}, title={Theoretical Analysis of the Capture Probability in Wireless Systems with Multiple Packet Reception Capabilities}, 
year={2012}, 
month={april }, 
volume={60}, 
number={4}, 
pages={1058 -1071}, 
keywords={MPR system;SIC;SINR;capture probability;computational complexity;mathematical framework;multipacket reception;multiple packet reception capabilities;signal to interference plus noise ratio;successive interference cancellation;theoretical analysis;wireless systems;computational complexity;interference suppression;radio networks;}, 
doi={10.1109/TCOMM.2012.021712.100782}, 
ISSN={0090-6778},}