New trends in stochastic geometry for wireless networks: A tutorial and survey
Next-generation wireless networks are expected to be highly heterogeneous, multilayered,
with embedded intelligence at both the core and edge of the network. In such a context …
with embedded intelligence at both the core and edge of the network. In such a context …
Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data
On-device machine learning (ML) enables the training process to exploit a massive amount
of user-generated private data samples. To enjoy this benefit, inter-device communication …
of user-generated private data samples. To enjoy this benefit, inter-device communication …
Wireless network intelligence at the edge
J Park, S Samarakoon, M Bennis… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …
based machine learning (ML) have transformed every aspect of our lives from face …
Communication-efficient and distributed learning over wireless networks: Principles and applications
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
A survey of mmWave user association mechanisms and spectrum sharing approaches: An overview, open issues and challenges, future research trends
Fifth generation (5G) cellular networks promise to support multi-radio access technologies
(multi-RATs) with low and high frequencies aiming at delivering good coverage, several …
(multi-RATs) with low and high frequencies aiming at delivering good coverage, several …
RIS-assisted coverage enhancement in millimeter-wave cellular networks
The use of millimeter-wave (mmWave) bandwidth is one key enabler to achieve the high
data rates in the fifth-generation (5G) cellular systems. However, mmWave signals suffer …
data rates in the fifth-generation (5G) cellular systems. However, mmWave signals suffer …
Combination of ultra-dense networks and other 5G enabling technologies: A survey
MA Adedoyin, OE Falowo - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, to address the astonishing capacity requirement of 5G, researchers are
investigating the possibility of combining different technologies with ultra-dense networks …
investigating the possibility of combining different technologies with ultra-dense networks …
16 federated knowledge distillation
Machine learning is one of the key building blocks in 5G and beyond [1–3], spanning a
broad range of applications and use cases. In the context of mission-critical applications [2 …
broad range of applications and use cases. In the context of mission-critical applications [2 …
Wireless edge computing with latency and reliability guarantees
Edge computing is an emerging concept based on distributed computing, storage, and
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
Downlink and uplink cell association with traditional macrocells and millimeter wave small cells
Millimeter wave (mmWave) links will offer high capacity but are poor at penetrating into or
diffracting around solid objects. Thus, we consider a hybrid cellular network with traditional …
diffracting around solid objects. Thus, we consider a hybrid cellular network with traditional …