Sum of gamma variates and performance of wireless communication systems over Nakagami-fading channels
By Mohamed-Slim Alouini, Ali Abdi, M. Kaveh. IEEE Transactions on Vehicular Technology, 2001
366 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/d4cd9952cf5855078ab2b7d5cea6e487b2a3c598
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Carole-Jean Wu
- Robert W. Heath
- Sarma B. K. Vrudhula
- Benjamin Gaudette
- Marios Kountouris
- Young Geun Kim
- Jeffrey G. Andrews
- D. J. Love
In Electrical and Electronic Engineering
- Carole-Jean Wu
- Robert W. Heath
- Sarma B. K. Vrudhula
- Benjamin Gaudette
- Mustafa Emin Sahin
- Marios Kountouris
- Ismail Guvenc
- Huseyin Arslan
Citations in the corpus
- Modeling heterogeneous network interference (2012, background): “Mathematica code for computing the truncated distribution is found in [36].”
- Improving smartphone user experience by balancing performance and energy with probabilistic QoS guarantee (2016, methodology): “A model for sum of random interval lengths often used in the literature is the Gamma distribution [6].”
- Optimization of energy detector receivers for UWB systems (2005, background): “Once the signal passes through the square-law device in an energy detector, the distribution of the signal component (when a bit 1 is transmitted) will be due to the sum of squares of the fading coefficients [13].”