activity
20152022
most citedmmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment

19 citations · 34 across the 29 of their papers we have counts for

collaborators
Showing cs.ITShow all

6 papers · 1 filter

cs.IT20192 cited

User Association in Dense mmWave Networks based on Rate Requirements

Veljko Boljanovic, Forough Yaghoubi, Danijela Cabric

Commonly considered user association frameworks in millimeter-wave communications are based on the sum rate maximization, and they essentially neglect user specific rate and servic…

cs.IT2019

Downlink transceiver beamforming and admission control for massive MIMO cognitive radio networks

Shailesh Chaudhari, Danijela Cabric

In this paper, an optimization framework is proposed for joint transceiver beamforming and admission control in massive MIMO cognitive radio networks. The objective of the optimiza…

cs.IT20195 cited

Feasibility of Serving K Secondary Users in Underlay Cognitive Radio Networks using Massive MIMO

Shailesh Chaudhari, Danijela Cabric

In this paper, we analyze the feasibility of serving K secondary users (SUs) on the downlink using a secondary base station (SBS), equipped with a large antenna array, in an underl…

cs.IT2018

Performance Analysis of Uplink Cellular IoT Using Different Deployments of Data Aggregators

Ghaith Hattab, Danijela Cabric

Data aggregation is an effective solution to enable cellular support of Internet-of-things (IoT) communications. Indeed, it helps alleviate channel congestion, reduce the communica…

cs.IT2018

Energy-Efficient Massive IoT Shared Spectrum Access over UAV-enabled Cellular Networks

Ghaith Hattab, Danijela Cabric

Data aggregation has become an emerging paradigm to support massive Internet-of-things (IoT), a new and critical use case for fifth-generation new radio (5G-NR). Indeed, data aggre…

cs.IT2015

Improved Eigenvalue-based Spectrum Sensing via Sensor Signal Overlapping

Liping Du, Mihir Laghate, Chun-Hao Liu +1

Eigenvalue-based detectors are considered as an important method of spectrum sensing since they do not require the information about the primary user (PU) signal. In this paper we…