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most citedA Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks

11 citations · 21 across the 12 of their papers we have counts for

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eess.SP202211 cited

A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks

Elaheh Vaezpour, Layla Majzoobi, Mohammad Akbari +2

Cell outage compensation enables a network to react to a catastrophic cell failure quickly and serve users in the outage zone uninterruptedly. Utilizing the promising benefits of n…

eess.SP2019

Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs

Nahid Amani, Saeedeh Parsaeefard, Hassan Taheri +1

This paper considers the power-efficient resource allocation problem in a cloud radio access network (C-RAN). The C-RAN architecture consists of a set of base-band units (BBUs) whi…

eess.SP2019

Spectrum Sensing and Resource Allocation for 5G Heterogeneous Cloud Radio Access Networks

Hossein Safi, A. M Montazeri, Javane Rostampoor +1

In this paper, the problem of opportunistic spectrum sharing for the next generation of wireless systems empowered by the cloud radio access network (C-RAN) is studied. More precis…

eess.SP2019

Analytical Channel Models for Millimeter Wave UAV Networks under Hovering Fluctuations

Mohammad Taghi Dabiri, Hossein Safi, Saeedeh Parsaeefard +1

The integration of unmanned aerial vehicles (UAVs) and millimeter wave (mmWave) wireless systems has been recently proposed to provide high data rate aerial links for next generati…

eess.SP2018

Dynamic Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) in 5G Wireless Networks

Mina Baghani, Saeedeh Parsaeefard, Mahsa Derakhshani +1

In this paper, facilitated via the flexible software defined structure of the radio access units in 5G, we propose a novel dynamic multiple access technology selection among orthog…