Towards a learning-based framework for self-driving design of networking protocols
HB Pasandi, T Nadeem - IEEE Access, 2021 - ieeexplore.ieee.org
Networking protocols are designed through long-standing and hard-working human efforts.
Machine Learning (ML)-based solutions for communication protocol design have been …
Machine Learning (ML)-based solutions for communication protocol design have been …
Mac protocol design optimization using deep learning
HB Pasandi, T Nadeem - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Deep learning (DL)-based solutions have recently been developed for communication
protocol design. Such learning-based solutions can avoid manual efforts to tune individual …
protocol design. Such learning-based solutions can avoid manual efforts to tune individual …
Unboxing MAC protocol design optimization using deep learning
HB Pasandi, T Nadeem - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Evolving amendments of 802.11 standards feature a large set of physical and MAC layer
control parameters to support the increasing communication objectives spanning application …
control parameters to support the increasing communication objectives spanning application …
Challenges and limitations in automating the design of mac protocols using machine-learning
HB Pasandi, T Nadeem - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
To cope with the emergence of new technologies, various device characteristics and
application requirements, complex and custom design of high performance networking …
application requirements, complex and custom design of high performance networking …
Towards a machine learning-based framework for automated design of networking protocols
HB Pasandi - 2019 IEEE International Conference on Pervasive …, 2019 - ieeexplore.ieee.org
Today, due to the increasing demands on wireless communications and new emerged
technologies, new protocols will be designed faster than before. By evolving network …
technologies, new protocols will be designed faster than before. By evolving network …
Poster: Towards self-managing and self-adaptive framework for automating mac protocol design in wireless networks
H Barahouei Pasandi, T Nadeem - … of the 20th International Workshop on …, 2019 - dl.acm.org
Wireless protocols are continuously evolving to meet new and more complex service
requirements. The current methods for protocol design are mainly human-based and thus …
requirements. The current methods for protocol design are mainly human-based and thus …
Automatic MAC protocol selection in wireless networks based on reinforcement learning
Existing MAC protocols do not address the dynamism and complexity of the environment
and applications of today's wireless networks. The running applications and the environment …
and applications of today's wireless networks. The running applications and the environment …
Deep reinforcement learning paradigm for performance optimization of channel observation–based MAC protocols in dense WLANs
The potential applications of deep learning to the media access control (MAC) layer of
wireless local area networks (WLANs) have already been progressively acknowledged due …
wireless local area networks (WLANs) have already been progressively acknowledged due …
Neuro-DCF: Design of wireless MAC via multi-agent reinforcement learning approach
The carrier sense multiple access (CSMA) algorithm has been used in the wireless medium
access control (MAC) under standard 802.11 implementation due to its simplicity and …
access control (MAC) under standard 802.11 implementation due to its simplicity and …
Deep reinforcement learning paradigm for dense wireless networks in smart cities
Wireless local area networks (WLANs) are widely deployed for Internet-centric data
applications. Due to their extensive norm in our day-to-day wireless-enabled life, WLANs are …
applications. Due to their extensive norm in our day-to-day wireless-enabled life, WLANs are …