A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements.
Akbar M. SayeedPeter G. VourasCamillo GentileAlec WeissJeanne T. QuimbyZihang ChengBassel ModadYuning ZhangChethan Kumar AnjinappaFatih ErdenÖzgür ÖzdemirRobert MüllerDiego A. DupleichHan NiuDavid G. MichelsonAidan HughesPublished in: GLOBECOM (Workshops) (2020)
Keyphrases
- parameter settings
- orders of magnitude
- main contribution
- significant improvement
- theoretical analysis
- parameter tuning
- theoretical framework
- recently developed
- probabilistic model
- computational cost
- learning algorithm
- measured data
- parameter values
- times faster
- free parameters
- computational efficiency
- fusion framework
- benchmark datasets
- computationally efficient
- maximum likelihood
- input data
- graphical models
- optimization problems
- least squares
- computational complexity
- social networks