Energy-Efficiency of Millimeter-Wave Full-Duplex Relaying Systems: Challenges and Solutions. - Zhongxiang Wei; Xu Zhu 001; Sumei Sun; Yi Huang 001; Ahmed Al-Tahmeesschi; Yufei Jiang (IEEE Access, 2016)

Analytical study on the estimation of primary activity distribution based on spectrum sensing. - Ahmed Al-Tahmeesschi; Miguel López-Benítez; Kenta Umebayashi; Janne J. Lehtomäki (PIMRC, 2017)

Investigating the Estimation of Primary Occupancy Patterns under Imperfect Spectrum Sensing. - Ahmed Al-Tahmeesschi; Miguel López-Benítez; Janne J. Lehtomäki; Kenta Umebayashi (WCNC Workshops, 2017)

PECAS: A Low-Cost Prototype for the Estimation of Channel Activity Statistics in Cognitive Radio. - Miguel López-Benítez; Ahmed Al-Tahmeesschi; Kenta Umebayashi; Janne J. Lehtomäki (WCNC, 2017)

Accurate estimation of primary user traffic based on periodic spectrum sensing. - Ahmed Al-Tahmeesschi; Miguel López-Benítez; Janne J. Lehtomäki; Kenta Umebayashi (WCNC, 2018)

Improving primary statistics prediction under imperfect spectrum sensing. - Ahmed Al-Tahmeesschi; Miguel López-Benítez; Janne J. Lehtomäki; Kenta Umebayashi (WCNC, 2018)

A Triple-Band Dual-Polarized Indoor Base Station Antenna for 2G, 3G, 4G and Sub-6 GHz 5G Applications. - Ahmed Al-Tahmeesschi; Yi Huang 001; Stephen J. Boyes; Manoj Stanley; Sumin D. Joseph; Qiang Hua; Dajun Lei (IEEE Access, 2018)

A Dual-Broadband Dual-Polarized Fylfot-Shaped Antenna for Mobile Base Stations Using MIMO Over-Lapped Antenna Subarrays. - Ahmed Al-Tahmeesschi; Yi Huang 001; Stephen J. Boyes; Manoj Stanley; Sumin D. Joseph; Bahaa Al-Juboori (IEEE Access, 2018)

A 5G MIMO Antenna for Broadcast and Traffic Communication Topologies Based on Pseudo Inverse Synthesis. - Ahmed Al-Tahmeesschi; Yi Huang 001; Manoj Stanley; Sumin D. Joseph; Dajun Lei (IEEE Access, 2018)

Cooperative Estimation of Primary Traffic Under Imperfect Spectrum Sensing and Byzantine Attacks. - Ahmed Al-Tahmeesschi; Miguel López-Benítez; Valerio Selis; Dhaval K. Patel; Kenta Umebayashi (IEEE Access, 2018)

A Capacitive Coupled Patch Antenna Array With High Gain and Wide Coverage for 5G Smartphone Applications. - Manoj Stanley; Yi Huang 001; Hanyang Wang 002; Hai Zhou; Ahmed Al-Tahmeesschi; Sumin D. Joseph (IEEE Access, 2018)

Research Issues, Challenges, and Opportunities of Wireless Power Transfer-Aided Full-Duplex Relay Systems. - Zhongxiang Wei; Xu Zhu 001; Sumei Sun; Yufei Jiang; Ahmed Al-Tahmeesschi; Mingzhu Yue (IEEE Access, 2018)

Time and Frequency Varying Noise Floor Estimation for Spectrum Usage Measurement. - Hiroki Iwata; Kenta Umebayashi; Ahmed Al-Tahmeesschi; Miguel López-Benítez; Janne J. Lehtomäki (WCNC Workshops, 2019)

Lightweight and Low-Loss 3-D Printed Millimeter-Wave Bandpass Filter Based on Gap-Waveguide. - Bahaa Al-Juboori; Jiafeng Zhou; Yi Huang 001; Muaad Naser Hussein; Ahmed Al-Tahmeesschi; William J. Otter; Dirk Klugmann; Stepan Lucyszyn (IEEE Access, 2019)

A Novel Compact Quadruple-Band Indoor Base Station Antenna for 2G/3G/4G/5G Systems. - Qiang Hua; Yi Huang 001; Chaoyun Song; Mobayode O. Akinsolu; Bo Liu 003; Tianyuan Jia; Qian Xu 012; Ahmed Al-Tahmeesschi (IEEE Access, 2019)

On the Sample Size for the Estimation of Primary Activity Statistics Based on Spectrum Sensing. - Ahmed Al-Tahmeesschi; Miguel López-Benítez; Dhaval K. Patel; Janne Lehtomäki; Kenta Umebayashi (IEEE Trans. Cogn. Commun. Netw., 2019)

Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Periodic Spectrum Sensing Observations. - Miguel López-Benítez; Ahmed Al-Tahmeesschi; Dhaval K. Patel; Janne J. Lehtomäki; Kenta Umebayashi (IEEE Trans. Wirel. Commun., 2019)

Applying Deep Neural Networks for Duty Cycle Estimation. - Ahmed Al-Tahmeesschi; Kenta Umebayashi; Hiroki Iwata; Miguel López-Benítez; Janne Lehtomäki (WCNC, 2020)

A Study on High-Efficiency Energy Detection-Based Spectrum Measurements. - Hiroki Iwata; Kenta Umebayashi; Ahmed Al-Tahmeesschi; Satya Krishna Joshi; Miguel López-Benítez; Janne J. Lehtomäki (WCNC Workshops, 2020)

Enhanced Signal Detection for Massive SIMO Communications with 1-Bit ADCs. - Doaa Abdelhameed; Kenta Umebayashi; Ahmed Al-Tahmeesschi; Italo Atzeni; Antti Tölli (SPAWC, 2021)

Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate. - Ahmed Al-Tahmeesschi; Kenta Umebayashi; Hiroki Iwata; Janne Lehtomäki; Miguel López-Benítez (IEEE Access, 2021)

High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements. - Hiroki Iwata; Kenta Umebayashi; Ahmed Al-Tahmeesschi; Janne Lehtomäki (IEEE Access, 2021)

Distance Estimation Based on Molecular Absorption at THz Frequencies. - Janne Lehtomäki; Kenta Umebayashi; Ahmed Al-Tahmeesschi; Markku J. Juntti (GLOBECOM (Workshops), 2022)

Deep Learning-based Fingerprinting for Outdoor UE Positioning Utilising Spatially Correlated RSSs of 5G Networks. - Ahmed Al-Tahmeesschi; Jukka Talvitie; Miguel López-Benítez; Laura Ruotsalainen (ICL-GNSS, 2022)

Spectrum Occupancy Prediction based on adaptive Recurrent Neural Networks. - Kenta Umebayashi; Yoshiki Kasahara; Hiroki Iwata; Ahmed Al-Tahmeesschi; Johanna Vartiainen (WCNC, 2023)

GNSS Jammer Localization in Urban Areas Based on Carrier-to-Noise Ratio and Classification Methods. - Zhe Yan; Ahmed Al-Tahmeesschi; Titti Malmivirta; Laura Ruotsalainen (WIPHAL, 2023)

Energy Saving in 6G O-RAN Using DQN-Based xApp. - Qiao Wang; Swarna Bindu Chetty; Ahmed Al-Tahmeesschi; Xuanyu Liang; Yi Chu; Hamed Ahmadi (CAMAD, 2024)

Multi-Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic. - Ahmed Al-Tahmeesschi; Jukka Talvitie; Miguel López-Benítez; Hamed Ahmadi; Laura Ruotsalainen (EuCNC/6G Summit, 2024)

Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNet. - Mikko Saukkoriipi; Jaakko Sahlsten; Joel Jaskari; Ahmed Al-Tahmeesschi; Laura Ruotsalainen; Kimmo Kaski (HNTS-MRG@MICCAI, 2024)

Enhancing Energy Efficiency in O-RAN Through Intelligent xApps Deployment. - Xuanyu Liang; Ahmed Al-Tahmeesschi; Qiao Wang; Swarna Bindu Chetty; Chenrui Sun; Hamed Ahmadi (WINCOM, 2024)

Energy Consumption of Machine Learning Enhanced Open RAN: A Comprehensive Review. - Xuanyu Liang; Qiao Wang; Ahmed Al-Tahmeesschi; Swarna Bindu Chetty; David Grace; Hamed Ahmadi (IEEE Access, 2024)

Advancing 6G: Survey for Explainable AI on Communications and Network Slicing. - Haochen Sun; Yifan Liu; Ahmed Al-Tahmeesschi; Avishek Nag; Mohadeseh Soleimanpour; Berk Canberk; Hüseyin Arslan; Hamed Ahmadi (IEEE Open J. Commun. Soc., 2025)

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences. - Adnan Shahid; Adrian Kliks; Ahmed Al-Tahmeesschi; Ahmed Elbakary; Alexandros Nikou; Ali Maatouk; Ali Mokh; Amirreza Kazemi; Antonio De Domenico; Athanasios Karapantelakis; Bo Cheng 001; Bo Yang 035; et al. (CoRR, 2025)

Long Short Term Memory Based Traffic Prediction Using Multi-Source Data. - Matti Leinonen; Ahmed Al-Tahmeesschi; Banu Turkmen; Nahid Atashi; Laura Ruotsalainen (Int. J. Intell. Transp. Syst. Res., 2025)

An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing. - Haochen Sun; Yifan Liu; Ahmed Al-Tahmeesschi; Swarna Bindu Chetty; Syed Ali Raza Zaidi; Avishek Nag; Hamed Ahmadi (CoRR, 2025)

Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-Based VNF Deployments. - Swarna Bindu Chetty; Avishek Nag; Ahmed Al-Tahmeesschi; Qiao Wang; Berk Canberk; Johann Márquez-Barja; Hamed Ahmadi (IEEE Netw., 2025)