5 citations · 5 across the 10 of their papers we have counts for
10 papers
Neural 5G Indoor Localization with IMU Supervision
Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold +8
Radio signals are well suited for user localization because they are ubiquitous, can operate in the dark and maintain privacy. Many prior works learn mappings between channel state…
Neural RF SLAM for unsupervised positioning and mapping with channel state information
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga +4
We present a neural network architecture for jointly learning user locations and environment mapping up to isometry, in an unsupervised way, from channel state information (CSI) va…
Spatial Indexing for System-Level Evaluation of 5G Heterogeneous Cellular Networks
Roohollah Amiri, Eren Balevi, Jeffrey G. Andrews +1
System level simulations of large 5G networks are essential to evaluate and design algorithms related to network issues such as scheduling, mobility management, interference manage…
Lens-based Millimeter Wave Reconfigurable Antenna NOMA
Mojtaba Ahmadi Almasi, Roohollah Amiri, Mojtaba Vaezi +1
This paper proposes a new multiple access technique based on the millimeter wave lens-based reconfigurable antenna systems. In particular, to support a large number of groups of us…
Multi-Stream LDPC Decoder on GPU of Mobile Devices
Roohollah Amiri, Hani Mehrpouyan
Low-density parity check (LDPC) codes have been extensively applied in mobile communication systems due to their excellent error correcting capabilities. However, their broad adopt…
Reinforcement Learning for Self-Organization and Power Control of Two-Tier Heterogeneous Networks
Roohollah Amiri, Mojtaba Ahmadi Almasi, Jeffrey G. Andrews +1
Self-organizing networks (SONs) can help manage the severe interference in dense heterogeneous networks (HetNets). Given their need to automatically configure power and other setti…
A New Millimeter Wave MIMO System for 5G Networks
Mojtaba Ahmadi Almasi, Roohollah Amiri, Hani Mehrpouyan
Millimeter Wave (mmWave) band provides a large spectrum to meet the high-demand capacity by the 5th generation (5G) wireless networks. However, to fully exploit the available spect…
Joint Power Allocation in Interference-Limited Networks via Distributed Coordinated Learning
Roohollah Amiri, Hani Mehrpouyan, David Matolak +1
The deployment of ultra-dense networks is one of the main methods to meet the 5G data rate requirements. However, high density of independent small base stations (SBSs) will increa…
Self-Organizing mmWave Networks : A Power Allocation Scheme Based on Machine Learning
Roohollah Amiri, Hani Mehrpouyan
Millimeter-wave (mmWave) communication is anticipated to provide significant throughout gains in urban scenarios. To this end, network densification is a necessity to meet the high…
A Machine Learning Approach for Power Allocation in HetNets Considering QoS
Roohollah Amiri, Hani Mehrpouyan, Lex Fridman +3
There is an increase in usage of smaller cells or femtocells to improve performance and coverage of next-generation heterogeneous wireless networks (HetNets). However, the interfer…