Distribution of Downlink SINR in Heterogeneous Cellular Networks
By S. Mukherjee. IEEE Journal on Selected Areas in Communications, 2012
295 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/636ae5ca86fa0e4853cde93067f533d449b00ac2
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
- Jeffrey G. Andrews
- Hesham Elsawy
- Ekram Hossain
- Harpreet S. Dhillon
- Abhishek K. Gupta
- Robert W. Heath
- Tianyang Bai
- Martin Haenggi
In Electrical and Electronic Engineering
- Jeffrey G. Andrews
- Hesham Elsawy
- Abhishek K. Gupta
- Ekram Hossain
- Harpreet S. Dhillon
- Robert W. Heath
- Tianyang Bai
- Sarabjot Singh
Citations in the corpus
- Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments (2015, background): “density, contradicting the results in [66], [67] where it is independent of BS density.”
- Joint Resource Partitioning and Offloading in Heterogeneous Cellular Networks (2013, methodology): “Similar tractable frameworks were used for deriving SINR distribution in HCNs in [19]–[21].”
- On Stochastic Geometry Modeling of Cellular Uplink Transmission With Truncated Channel Inversion Power Control (2014, background): “Therefore, power control is not crucial1 for the network operation, and hence, power control is ignored in most of the stochastic geometry models on downlink cellular networks and it is generally assumed that all the BSs in the same tier transmit with equal power [1]–[3], [9]–[14].”
- A Primer on Cellular Network Analysis Using Stochastic Geometry (2016, methodology): “Note that while we considered only maximum instantaneous power based strategy for the HCN analysis in this tutorial, extensions to both average power based cell selection [24], [38] and in the presence of cell selection bias [24], [37] are known.”
- Modeling heterogeneous network interference (2012, background): “In [24], the downlink SINR distribution from the serving BS to an arbitrarily-located user is derived when the candidate serving BS at each tier is the nearest to the user.”
- Analysis of Blockage Effects on Urban Cellular Networks (2013, background): “In [8, 10] the results were extended to multi-tier networks.”
- Stochastic Geometry for Modeling, Analysis, and Design of Multi-Tier and Cognitive Cellular Wireless Networks: A Survey (2013, methodology): “[77], [78], [83], [85], [86] HCPP [9], [25]-[27], [32]-[35], [37], [39], [46] [54]-[60], [62]-[66] [68], [77], [78], [80], [81], [83], [85], [86] Technique #1”
- Offloading in Heterogeneous Networks: Modeling, Analysis, and Design Insights (2012, background): “This is similar to [21]–[23] with the key difference being the APs of a RAT act as interferers to only the user associated with that RAT.”