متابعة
Mohammad Shehab
Mohammad Shehab
King Abdullah University of Science and Technology
بريد إلكتروني تم التحقق منه على oulu.fi - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Six key features of machine type communication in 6G
NH Mahmood, H Alves, OA López, M Shehab, DPM Osorio, M Latva-Aho
2020 2nd 6G Wireless Summit (6G SUMMIT), 1-5, 2020
2692020
Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization
M Shehab, AT Khader, M Laouchedi, OA Alomari
The Journal of Supercomputing 75, 2395-2422, 2019
842019
Multi-UAV path learning for age and power optimization in IoT with UAV battery recharge
E Eldeeb, JM de Souza Sant'Ana, DE Pérez, M Shehab, NH Mahmood, ...
IEEE Transactions on Vehicular Technology 72 (4), 5356-5360, 2022
602022
Effective capacity and power allocation for machine-type communication
M Shehab, H Alves, M Latva-aho
IEEE Transactions on Vehicular Technology 68 (4), 4098-4102, 2019
432019
A learning-based fast uplink grant for massive IoT via support vector machines and long short-term memory
E Eldeeb, M Shehab, H Alves
IEEE Internet of Things Journal 9 (5), 3889-3898, 2021
352021
On the performance of non-orthogonal multiple access in the finite blocklength regime
E Dosti, M Shehab, H Alves, M Latve-aho
Elsevier Ad Hoc Networks, 2018
342018
Statistical tools and methodologies for ultrareliable low-latency communication—A tutorial
OLA López, NH Mahmood, M Shehab, H Alves, OM Rosabal, L Marata, ...
Proceedings of the IEEE 111 (11), 1502-1543, 2023
272023
Traffic prediction based fast uplink grant for massive IoT
M Shehab, AK Hagelskjær, AE Kalør, P Popovski, H Alves
2020 IEEE 31st annual international symposium on personal, indoor and mobile …, 2020
272020
Ultra reliable communication via CC-HARQ in finite block-length
E Dosti, M Shehab, H Alves, M Latva-aho
2017 European Conference on Networks and Communications (EuCNC), 1-5, 2017
262017
Ultra reliable communication via optimum power allocation for HARQ retransmission schemes
E Dosti, M Shehab, H Alves, M Latva-Aho
IEEE Access 8, 89768-89781, 2020
252020
Minimization of the worst case average energy consumption in UAV-assisted IoT networks
OM Rosabal, OLA López, DE Pérez, M Shehab, H Hilleshein, H Alves
IEEE Internet of Things Journal 9 (17), 15827-15838, 2022
212022
Effective energy efficiency of ultrareliable low-latency communication
M Shehab, H Alves, EA Jorswieck, E Dosti, M Latva-Aho
IEEE Internet of Things Journal 8 (14), 11135-11149, 2021
202021
On the Effective Capacity of MTC Networks in the Finite Blocklength Regime
M Shehab, E Dosti, H Alves, M Latva-aho
European Conference on Networks and Communications (EUCNC 2017), 2017
192017
Traffic prediction and fast uplink for hidden Markov IoT models
E Eldeeb, M Shehab, AE Kalør, P Popovski, H Alves
IEEE Internet of Things Journal 9 (18), 17172-17184, 2022
182022
A learning-based trajectory planning of multiple UAVs for AoI minimization in IoT networks
E Eldeeb, DE Pérez, JM de Souza Sant’Ana, M Shehab, NH Mahmood, ...
2022 Joint European Conference on Networks and Communications & 6G Summit …, 2022
162022
Effective energy efficiency and statistical QoS provisioning under Markovian arrivals and finite blocklength regime
F Qasmi, M Shehab, H Alves, M Latva-Aho
IEEE Internet of Things Journal 9 (18), 17741-17755, 2022
132022
Traffic learning and proactive UAV trajectory planning for data uplink in markovian IoT models
E Eldeeb, M Shehab, H Alves
IEEE Internet of Things Journal 11 (8), 13496-13508, 2023
102023
Optimum transmission rate in fading channels with Markovian sources and QoS constraints
F Qasmi, M Shehab, H Alves, M Latva-Aho
2018 15th International Symposium on Wireless Communication Systems (ISWCS), 1-5, 2018
92018
Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach
E Eldeeb, M Shehab, H Alves
82023
On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime
M Shehab, E Dosti, H Alves, M Latva-aho
ISWCS 2017 (Best Student Paper Award), 275-280, 2017
82017
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20