Indoor signal focusing with deep learning designed reconfigurable intelligent surfaces

C Huang, GC Alexandropoulos… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Reconfigurable Intelligent Surfaces (RISs) comprised of tunable unit elements have been
recently considered in indoor communication environments for focusing signal reflections to …

Cross layer NOMA interference mitigation for femtocell users in 5G environment

I Budhiraja, S Tyagi, S Tanwar… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a joint channel allocation and power control algorithm by using
cognitive radio non-orthogonal multiple access (CR-NOMA) for femtocell users (FUs). The …

Dynamic spectrum access for multimedia transmission over multi-user, multi-channel cognitive radio networks

XL Huang, XW Tang, F Hu - IEEE Transactions on Multimedia, 2019 - ieeexplore.ieee.org
The optimal spectrum access strategy is investigated for multi-user multi-channel scenario in
cognitive radio networks. At first, an online learning method based on Dirichlet Process is …

Indoor localization using commodity Wi-Fi APs: techniques and challenges

LN Kandel, S Yu - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Over the past decade, many research studies have contributed to making indoor localization
of Wi-Fi devices accurate and practically useful for emerging applications wherein GPS …

[HTML][HTML] Primary user localization and its error analysis in 5G cognitive radio networks

N Saeed, H Nam, TY Al-Naffouri, MS Alouini - Sensors, 2019 - mdpi.com
It is crucial to estimate the location of primary users (PUs) for the development of cognitive
radio networks (CRNs). Great efforts have been made in the past to develop localization …

On developing SeamlessSpectrum handoff strategyfor cognitive radio networks

AIA Tair, MT El Astal, M Shaat… - 2019 IEEE 7th …, 2019 - ieeexplore.ieee.org
In Cognitive Radio (CR) systems, the spectrum handoff is a key-factor as it could affect
propagation path nature. Accordingly, it may affect the overall system coverage and …

Resource allocation in spectrum-sharing cognitive heterogeneous networks

H Zhang, TA Tsiftsis, J Cheng, VCM Leung - Handbook of Cognitive …, 2019 - elibrary.ru
Cognitive radio-enabled heterogeneous networks are an emerging technology to address
the exponential increase of mobile traffic demand in the next-generation mobile …

[PDF][PDF] Design and evaluation of QoS-aware radio resource allocation for 5G ultra-dense networks

MA Adedoyin, O Shoewu, AO Ogunlewe, NT Makajuola - Networks, 2019 - academia.edu
Lately, the heterogeneous deployment of ultra-dense small cells such as femtocells in the
coverage region of conventional macrocells, which is referred to as ultra-dense networks …

Realistic user mobility simulator for 5G communication networks

M Vološin, J Gazda… - 2019 IEEE 13th …, 2019 - ieeexplore.ieee.org
Simulation of end-users' movement is an essential part of wireless network models that may
highly affect conclusions derived from conducted experiments. This paper presents most …

Optimal spectrum sharing in RF energy harvesting cognitive femtocell networks

J Martyna - Computer Networks: 26th International Conference, CN …, 2019 - Springer
A cognitive femtocell network is considered as a highly promising solution to tackle
communications in indoor environments. Currently, the spectrum allocated in the femtocells …