Publications by Haitham Al Hassanieh

Towards URLLC with Open-Source 5G Software

Haitham Al Hassanieh, Dan Mihai Dumitriu

Ultra-Reliable Low-Latency Communication is a key feature of 5G, yet achieving its strict one-way latency target remains challenging in real-world deployments. While previous work proposes latency reduction techniques, most are theoretical or simulation-ba ...

Association for Computing Machinery2025

Heartbeat Aware Decoding in Molecular Networks

Haitham Al Hassanieh

Molecular communication (MC) is a competitive candidate of implementing the long-lasting in-body communication for the body-area medical network, considering its unparalleled advantages over conventional wireless communication in bio-compatibility. Blood v ...

Institute of Electrical and Electronics Engineers Inc.2025

Around the Corner mmWave Imaging in Practical Environments

Haitham Al Hassanieh, Junfeng Guan

We present the design, implementation, and evaluation of RFlect, a mmWave imaging system capable of producing around-the-corner high-resolution images in practical environments. RFlect leverages signals reflected off complex surfaces (e.g., poles, concave ...

Association for Computing Machinery2024

Towards Seamless 5G Open-RAN Integration with WebAssembly

Haitham Al Hassanieh, Dan Mihai Dumitriu

O-RAN (Open Radio Access Network) multivendor integration, despite its promise of a diverse 5G ecosystem, faces compatibility challenges such as vendor-specific implementations. We propose WA-RAN, a novel framework that leverages WebAssembly (Wasm) to enha ...

Association for Computing Machinery2024

Ultra-Reliable Low-Latency in 5G: A Close Reality or a Distant Goal?

Haitham Al Hassanieh, Dan Mihai Dumitriu

Ultra-Reliable Low-Latency Communication (URLLC) was introduced in 5G to meet the demanding requirements of latencies as low as 0.5 ms and reliability of 99.999 % for specific applications. Despite over a decade of discussions on URLLC, achieving these sta ...

Association for Computing Machinery2024

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

Haitham Al Hassanieh, Junfeng Guan

The perception of autonomous vehicles using radars has attracted increased research interest due its ability to operate in fog and bad weather. However, training radar models is hindered by the cost and difficulty of annotating largescale radar data. To ov ...

IEEE2024

SliceGuard: Secure and Dynamic 5G RAN Slicing with WebAssembly

Haitham Al Hassanieh, Dan Mihai Dumitriu

5G enables diverse services through network slicing, allowing multiple virtual networks to share physical infrastructure. However, efficiently managing resources across slices is challenging. This demo presents SliceGuard, a two-level scheduling system tha ...

Association for Computing Machinery2024

WINC: A Wireless IoT Network for Multi-Noise Source Cancellation

Haitham Al Hassanieh, Junfeng Guan, Jiaming Wang

This paper introduces Wireless IoT-based Noise Cancellation (WINC) which defines a framework for leveraging a wireless network of IoT microphones to enhance active noise cancellation in noise-canceling headphones. The IoT microphones forward ambient noise ...

Assoc Computing Machinery2023

Channel-Aware 5G RAN Slicing with Customizable Schedulers

Haitham Al Hassanieh

This paper focuses on 5G RAN slicing, where the 5G radio resources must be divided across slices (or enterprises) so as to achieve high spectrum efficiency, fairness and isolation across slices, and the ability for each slice to customize how the radio res ...

USENIX ASSOC2023

DChannel: Accelerating Mobile ApplicationsWith Parallel High-bandwidth and Low-latency Channels

Haitham Al Hassanieh

Interactive mobile applications like web browsing and gaming are known to benefit significantly from low latency networking, as applications communicate with cloud servers and other users' devices. Emerging mobile channel standards have not met these needs ...

USENIX ASSOC2023