Cellular LTE-A technologies for the future Internet-of-Things: Physical layer features and challenges

M Elsaadany, A Ali, W Hamouda - … Communications Surveys & …, 2017 - ieeexplore.ieee.org
Human-generated information has been the main interest of the wireless communication
technologies designs for decades. However, we are currently witnessing the emerge of an …

Flex-NOMA: exploiting buffer-aided relay selection for massive connectivity in the 5G uplink

N Nomikos, ET Michailidis, P Trakadas… - IEEE …, 2019 - ieeexplore.ieee.org
The success of fifth generation (5G) mobile network and its long-term evolution (LTE) relies
on enabling demanding services with massive connectivity requirements, including Internet …

Throughput optimization with delay guarantee for massive random access of M2M communications in industrial IoT

C Zhang, X Sun, J Zhang, X Wang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The machine-to-machine (M2M) communication is an emerging technology that is widely
utilized in a vast number of industrial Internet-of-Things (IIoT) applications. Due to the …

Online control of preamble groups with priority in massive IoT networks

J Liu, M Agiwal, M Qu, H ** - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) imbued with several heterogeneous services and applications is
integral to the ultimate realization of connected living. However, massive connectivity would …

Priority-aware access strategy for GF-NOMA system in IIoT: the device-specific allocation approach

D Wu, Z Zhang, Y Huang, X Qin - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To support large-scale connectivity of massive machine-type communication (mMTC)
devices in Industrial Internet of Things (IIoT) scenario, a grant-free (GF) transmission aided …

A QoE-oriented scheduling scheme for energy-efficient computation offloading in UAV cloud system

A Gao, Y Hu, W Liang, Y Lin, L Li, X Li - IEEE Access, 2019 - ieeexplore.ieee.org
Air ground integrated mobile cloud computing (MCC) provides UAVs with more flexibility
and resilience from the cloud computing architecture. However, the increasing aerial mobile …

Deep reinforcement learning based flexible preamble allocation for RAN slicing in 5G networks

AM Gedikli, M Koseoglu, S Sen - Computer Networks, 2022 - Elsevier
One of the most difficult challenges in radio access network slicing occurs in the connection
establishment phase where multiple devices use a common random access channel in …

Hybrid collision avoidance-tree resolution for M2M random access

HM Gürsu, M Vilgelm, W Kellerer… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Wireless machine-to-machine (M2M) communication with synchronized traffic patterns plays
an important role in many aircraft systems. Recent research has separately examined …

Coupled Markovian arrival process for automotive machine type communication traffic modeling

E Grigoreva, M Laurer, M Vilgelm… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Automotive Machine Type Communication (MTC) features three groups of applications:
safety, road traffic efficiency and infotainment. The concrete set of automotive applications is …

Dynamic binary countdown for massive IoT random access in dense 5G networks

M Vilgelm, SR Liñares… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Massive connectivity for Internet of Things applications is expected to challenge the way
access reservation protocols are designed in 5G networks. Since the number of devices and …