448 citations · 972 across the 16 of their papers we have counts for
19 papers
The Rendezvous Between Extreme Value Theory and Next-generation Networks
Srinivas Sagar, Athira Subhash, Chen-Feng Liu +6
Promising technologies such as massive multiple-input and multiple-output, reconfigurable intelligent reflecting surfaces, non-terrestrial networks, millimetre wave communication,…
URLLC-Aware Proactive UAV Placement in Internet of Vehicles
Chen-Feng Liu, Nirmal D. Wickramasinghe, Himal A. Suraweera +2
Unmanned aerial vehicles (UAVs) are envisioned to provide diverse services from the air. The service quality may rely on the wireless performance which is affected by the UAV's pos…
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT
Chen-Feng Liu, Mehdi Bennis
While information delivery in industrial Internet of things demands reliability and latency guarantees, the freshness of the controller's available information, measured by the age…
Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach
Yung-Lin Hsu, Chen-Feng Liu, Sumudu Samarakoon +2
This work studies a real-time environment monitoring scenario in the industrial Internet of things, where wireless sensors proactively collect environmental data and transmit it to…
Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT: A Generative Adversarial Network Approach
Chen-Feng Liu, Mehdi Bennis
To date, model-based reliable communication with low latency is of paramount importance for time-critical wireless control systems. In this work, we study the downlink (DL) control…
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach
Abanoub M. Girgis, Jihong Park, Chen-Feng Liu +1
While Remote control over wireless connections is a key enabler for scalable control systems consisting of multiple actuator-sensor pairs, i.e., control systems, it entails two tec…
Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks
Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Chen-Feng Liu +2
While the notion of age of information (AoI) has recently been proposed for analyzing ultra-reliable low-latency communications (URLLC), most of the existing works have focused on…
Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing
Sadeep Batewela, Chen-Feng Liu, Mehdi Bennis +2
This letter studies an ultra-reliable low latency communication problem focusing on a vehicular edge computing network in which vehicles either fetch and synthesize images recorded…
Taming the Tail of Maximal Information Age in Wireless Industrial Networks
Chen-Feng Liu, Mehdi Bennis
In wireless industrial networks, the information of time-sensitive control systems needs to be transmitted in an ultra-reliable and low-latency manner. This letter studies the reso…
Wireless Edge Computing with Latency and Reliability Guarantees
Mohammed S. Elbamby, Cristina Perfecto, Chen-Feng Liu +4
Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth gene…
Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
Chen-Feng Liu, Mehdi Bennis, Merouane Debbah +1
To overcome devices' limitations in performing computation-intense applications, mobile edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster task…
Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail
Mohamed K. Abdel-Aziz, Chen-Feng Liu, Sumudu Samarakoon +2
While the notion of age of information (AoI) has recently emerged as an important concept for analyzing ultra-reliable low-latency communications (URLLC), the majority of the exist…
Ultra-Reliable and Low-Latency Vehicular Transmission: An Extreme Value Theory Approach
Chen-Feng Liu, Mehdi Bennis
Considering a Manhattan mobility model in vehicle-to-vehicle networks, this work studies a power minimization problem subject to second-order statistical constraints on latency and…
Path Selection and Rate Allocation in Self-Backhauled mmWave Networks
Trung Kien Vu, Chen-Feng Liu, Mehdi Bennis +2
We investigate the problem of multi-hop scheduling in self-backhauled millimeter wave (mmWave) networks. Owing to the high path loss and blockage of mmWave links, multi-hop paths b…
Fronthaul-Aware Software-Defined Wireless Networks: Resource Allocation and User Scheduling
Chen-Feng Liu, Sumudu Samarakoon, Mehdi Bennis +1
Software-defined networking (SDN) provides an agile and programmable way to optimize radio access networks via a control-data plane separation. Nevertheless, reaping the benefits o…
Latency and Reliability-Aware Task Offloading and Resource Allocation for Mobile Edge Computing
Chen-Feng Liu, Mehdi Bennis, H. Vincent Poor
While mobile edge computing (MEC) alleviates the computation and power limitations of mobile devices, additional latency is incurred when offloading tasks to remote MEC servers. In…
Ultra-Reliable and Low Latency Communication in mmWave-Enabled Massive MIMO Networks
Trung Kien Vu, Chen-Feng Liu, Mehdi Bennis +3
Ultra-reliability and low-latency are two key components in 5G networks. In this letter, we investigate the problem of ultra-reliable and low-latency communication (URLLC) in milli…
Towards Low-Latency and Ultra-Reliable Vehicle-to-Vehicle Communication
Muhammad Ikram Ashraf, Chen-Feng Liu, Mehdi Bennis +1
Recently vehicle-to-vehicle (V2V) communication emerged as a key enabling technology to ensure traffic safety and other mission-critical applications. In this paper, a novel proxim…
Fronthaul-Aware Software-Defined Joint Resource Allocation and User Scheduling for 5G Networks
Chen-Feng Liu, Sumudu Samarakoon, Mehdi Bennis
Software-defined networking (SDN) is the concept of decoupling the control and data planes to create a flexible and agile network, assisted by a central controller. However, the pe…