3 papers
eess.SP2020
Machine Learning assisted Handover and Resource Management for Cellular Connected Drones
Amin Azari, Fayezeh Ghavimi, Mustafa Ozger +2
Enabling cellular connectivity for drones introduces a wide set of challenges and opportunities. Communication of cellular-connected drones is influenced by 3-dimensional mobility…
cs.NI2018
Risk-Aware Resource Allocation for URLLC: Challenges and Strategies with Machine Learning
Amin Azari, Mustafa Ozger, Cicek Cavdar
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G wireless networks. Stringent delay and reliability requirements need to be satisfied for bot…
cs.NI2014
Dimensioning of PA for massive MIMO system with load adaptive number of antennas
M. M. Aftab Hossain, Riku Jäntti, Cicek Cavdar
This paper takes into consideration the non-ideal efficiency characteristics of realistic power amplifiers (PAs) along with the daily traffic profile in order to investigate the im…