Publications

Type of document

Keywords

Author

Of

At

Affichage de 51 à 60 sur 228

Article dans une revue

Enabling User Relaying In MCM-NOMA Under Doubly Selective Channels Using Iterative Interference Cancellation Schemes For Wireless IoT Networks

Anis Amazigh Hamza, Iyad Dayoub, Ihsen Alouani, Abderrahmane Amrouche

Cell-edge users of future cellular internet of things (IoT) sensor networks can suffer from extremely severe channel conditions, especially under mobility with high speeds, i.e., doubly selective channels. This paper presents a performance improvement method for IoT cell-edge users downlink…

IEEE Sensors Letters, 2022, 6 (3), pp.7500304. ⟨10.1109/LSENS.2022.3148330⟩. ⟨hal-03561509⟩

Communication dans un congrès

Compact Multi-Band Flexible Antenna for ISM, WLAN, Wi-Fi, and 5G sub-6-GHz Applications

Syed Muhammad Rizvi Jarchavi, Mohsin Iqbal, Mariana Dalarsson, Mohammad Alibakhshikenari, Iyad Dayoub

Design and analysis of a compact multi-band flexible antenna are presented here. The antenna is designed using the flexible substrate material Rogers 5880 and has a compact size of 18mm×18mm×0.254mm. The coplanar waveguide (CPW) fed radiator consists of a rectangular-shaped patch modified using a…

2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), May 2022, Gran Canaria, Spain. pp.1-3, ⟨10.23919/AT-AP-RASC54737.2022.9814285⟩. ⟨hal-03737945⟩

Article dans une revue

Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey

Julio Manco-Vasquez, Iyad Dayoub, Amor Nafkha, Mohammad Alibakhshikenari, Hayfa Ben Thameur

Cognitive radio (CR) network has emerged as a potential solution to the under-utilization problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to enable the coexistence between primary and secondary users. It has attracted research interests, and several works have…

IEEE Access, 2022, 10, pp.131887-131908. ⟨10.1109/ACCESS.2022.3229739⟩. ⟨hal-03926173⟩

Article dans une revue

Review on Unmanned Aerial Vehicle Assisted Sensor Node Localization in Wireless Networks: Soft Computing Approaches

Visalakshi Annepu, Deepika Rani Sona, Chinthaginjala Ravikumar, Kalapraveen Bagadi, Mohammad Alibakhshikenari, Ayman Althuwayb, Bader Alali, Bal Virdee, Giovanni Pau, Iyad Dayoub, Chan Hwang See, Francisco Falcone

Node positioning or localization is a critical requisite for numerous position-based applications of wireless sensor network (WSN). Localization using the unmanned aerial vehicle (UAV) is preferred over localization using fixed terrestrial anchor node (FTAN) because of low implementation complexity…

IEEE Access, 2022, 10, pp.132875-132894. ⟨10.1109/ACCESS.2022.3230661⟩. ⟨hal-03940270⟩

Article dans une revue

Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection

Kalapraveen Bagadi, Chinthaginjala V. Ravikumar, Mohammad Alibakhshikenari, Nagaraj Challa, A. Rajesh, Sonia Aïssa, Iyad Dayoub, Francisco Falcone, Ernesto Limiti

Multiple antennas at each User Equipment (UE) and/or thousands of antennas at the Base Station comprise the extremely spectrum efficient large scale Multi-User Multiple Input Multiple Output (MU-MIMO) system (BS). Due to space constraints, the closely spaced numerous antennas at each UE may cause…

Radio Science, 2022, 57 (12), pp.e2022RS007573. ⟨10.1029/2022RS007573⟩. ⟨hal-03890650⟩

Article dans une revue

Physical layer enhancement for next-generation railway communication systems

Qianrui Li, Jean-Christophe Sibel, Marion Berbineau, Iyad Dayoub, François Gallée, Herve Bonneville

This paper presents an overview of the challenges and state-of-the-art physical layer enhancement designs for next-generation railway communication, also known as high-speed train (HST) communication. The physical layer design for the HST should adapt from its counterpart in the general-purpose…

IEEE Access, 2022, 10, pp.83152 - 83175. ⟨10.1109/ACCESS.2022.3192971⟩. ⟨hal-03745413⟩

Article dans une revue

Codebook Designs for Millimeter-Wave Communication Systems in Both Lowand High-Mobility: Achievements and Challenges

Semah Mabrouki, Iyad Dayoub, Qianrui Li, Marion Berbineau

More connectivity, higher data rates, more reliability, massive network capacity, higher performance and fewer delays are required in the fifth generation (5G) of cellular networks. The last ten years have contained explosive growth in mobile data traffic due to the rapid proliferation of Internet-…

IEEE Access, 2022, 10, pp.25786 - 25810. ⟨10.1109/ACCESS.2022.3154016⟩. ⟨hal-03595846⟩

Article dans une revue

High gain/bandwidth off-chip antenna loaded with metamaterial unit-cell impedance matching circuit for sub-terahertz near-field electronic systems

Mohammad Alibakhshikenari, Bal Virdee, Dion Mariyanayagam, Valeria Vadalà, Mohammad Naser-Moghadasi, Chan See, Iyad Dayoub, Sonia Aïssa, Patrizia Livreri, Shah Nawaz Burokur, Anna Pietrenko-Dabrowska, Francisco Falcone, Slawomir Koziel, Ernesto Limiti

An innovative off-chip antenna (OCA) is presented that exhibits high gain and efficiency performance at the terahertz (THz) band and has a wide operational bandwidth. The proposed OCA is implemented on stacked silicon layers and consists of an open circuit meandering line. It is shown that by…

Scientific Reports, 2022, 12 (1), pp.17893. ⟨10.1038/s41598-022-22828-3⟩. ⟨hal-03839058⟩

Article dans une revue

PHY layer enhancements for next generation V2X communication

Andy Triwinarko, Iyad Dayoub, Soumaya Cherkaoui

IEEE 802.11p is a robust and mature technology for dedicated short-range communication (DSRC) where several field trials have been carried out, and the performance of various vehicle-to-everything (V2X) communication scenarios has been investigated. On the other hand, other IEEE 802.11 or wireless…

Vehicular Communications, 2021, 32, pp.100385. ⟨10.1016/j.vehcom.2021.100385⟩. ⟨hal-03382808⟩

Pré-publication, Document de travail

A Survey of Applied Machine Learning Techniques for Optical OFDM based Networks

Hichem Mrabet, Elias Giaccoumidis, Iyad Dayoub

In this survey, we analyze the newest machine learning (ML) techniques for optical orthogonal frequency division multiplexing (O-OFDM)-based optical communications. ML has been proposed to mitigate channel and transceiver imperfections. For instance, ML can improve the signal quality under low…

2021. ⟨hal-03383143⟩