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Mukhtiar Ahmad

dblp:246/9119 · DBLP profile ↗
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4ranked-venue papers
4as first author
3since 2021 · last 2025
0000-0001-7965-5568ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3 · 3 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
3 papers
Cellular and mobile networks · 70% Edge and fog computing · 17% Network management and operations · 13%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%

Topics — the 8 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
fault tolerance
1.222023
Neutrino: A Fast and Consistent Edge-Based Cellular Control Plane · IEEE/ACM Trans. Netw. 2023
Enabling emerging edge applications through a 5G control plane intervention · CoNEXT 2022
Cellular and mobile networks
5g
0.612022
Enabling emerging edge applications through a 5G control plane intervention · CoNEXT 2022
Distributed systems › quorum systems
quorum consistency
0.612022
Enabling emerging edge applications through a 5G control plane intervention · CoNEXT 2022
Distributed systems
replication
0.612022
Enabling emerging edge applications through a 5G control plane intervention · CoNEXT 2022
Cellular and mobile networks › low-latency communication
control plane latency
0.412020
A Low Latency and Consistent Cellular Control Plane · SIGCOMM 2020
Network management and operations › network robustness
fault tolerance
0.412020
A Low Latency and Consistent Cellular Control Plane · SIGCOMM 2020
Cellular and mobile networks › mobile networks › mobile network architecture
mobile core network
0.412020
A Low Latency and Consistent Cellular Control Plane · SIGCOMM 2020
Cellular and mobile networks
5g core network
0.212023
Neutrino: A Fast and Consistent Edge-Based Cellular Control Plane · IEEE/ACM Trans. Netw. 2023

Methods — techniques the papers use, named apart from their topics

testbed evaluation · 2.2trace-driven evaluation · 1.3quorum-based consistency protocol · 1.1
YearPublicationVenuePosition
2025 Warping the Edge: Enabling Instant Mobility for Stateful Applications over 5G and Beyond
abstract
Real-time mobile applications such as AR/VR, cloud gaming, and collaborative robotics rely on edge computing to maintain ultra-low latency, yet they can suffer noticeable service interruptions when users move because the application's session state must migrate to a new edge site. We present EdgeWarp, a system that delivers instant mobility for stateful edge applications over 5G while laying the groundwork for 6G. EdgeWarp employs a two-step synchronization protocol that proactively mirrors application state at edge sites predicted to serve the user next, sharply reducing transfer delays, and it signals each session's latency budget to the 5G control plane so that critical flows are prioritized during handover. Experiments with real applications and 4G/5G radio traces show that EdgeWarp cuts mobility-induced downtime by up to 15.4×, charting a path toward zero-downtime edge computing—a prerequisite for emerging 6G scenarios such as holographic telepresence, tactile Internet, and large-scale digital twins. We have made our anonymized code publicly accessible here.
Mukhtiar Ahmad, Faaiq Bilal, Mutahar Ali, Syed Muhammad Nawazish Ali, Amir Salman, Shazer Ali, Fawad Ahmad 0002, Zafar Ayyub Qazi
SEC1
2023 Neutrino: A Fast and Consistent Edge-Based Cellular Control Plane
abstract
5G and next-generation cellular networks aim to support tactile internet to enable immersive and real-time applications by providing ultra-low latency and extremely high reliability. This imposes new requirements on the design of cellular core networks. A key component of the cellular core is the control plane. Time to complete cellular control plane operations (e.g., mobility handoff, service establishment) directly impacts the delay experienced by end-user applications. In this paper, we design Neutrino, a cellular control plane that provides users an abstraction of reliable access to cellular services while ensuring lower latency. Our testbed evaluations based on real cellular control traffic traces show that Neutrino provides an improvement in control procedure completion times by up to$3.1\times $without failures, and up to$5.6\times $under control plane failures, over existing 5G. We also show how these improvements translate into improving end-user application performance: for AR/VR applications and self-driving cars, Neutrino improves performance by up to$2.5\times $and$2.8\times $, respectively.
Mukhtiar Ahmad, Syed Muhammad Nawazish Ali, Muhammad Taimoor Tariq, Syed Usman Jafri, Adnan Abbas, Syeda Mashal Abbas Zaidi, Muhammad Basit Iqbal Awan, Zartash Afzal Uzmi, Zafar Ayyub Qazi
IEEE/ACM Trans. Netw.1
2022 Enabling emerging edge applications through a 5G control plane intervention
abstract
5G networks are considered potential enablers for many emerging edge applications, such as those related to autonomous vehicles, virtual and augmented reality, and online gaming. However, recent works have shown the cellular control plane is a potential bottleneck in enabling such applications --- control plane operations are slow, frequent, and can directly impact the delay experienced by end-user applications. Moreover, failures in the cellular control plane can significantly degrade application performance. In this paper, we consider the problem of enabling latency-sensitive and safety-critical edge applications on 5G networks. We identify fundamental control plane design challenges and posit enabling these applications requires re-thinking the cellular control plane. We propose a new edge-based cellular control plane, CellClone, which provides fast and fault-tolerant control plane processing. CellClone employs multiple active control plane clones at the network edge to mask control plane faults and speedup control processing. Central to its design is a custom quorum-based consistency protocol that provides state consistency with low latency. Testbed evaluations using real cellular traces show a median improvement of more than 3.8× in speeding up control plane operations with outright node failures and stragglers. These improvements translate into better application performance; with CellClone, autonomous cars and VR applications reduce missed application deadlines by more than 90%.
Mukhtiar Ahmad, Muhammad Ali Nawazish, Muhammad Taimoor Tariq, Muhammad Basit Iqbal Awan, Muhammad Taqi Raza, Zafar Ayyub Qazi
CoNEXT1
2020 A Low Latency and Consistent Cellular Control Plane
abstract
5G networks aim to provide ultra-low latency and higher reliability to support emerging and near real-time applications such as augmented and virtual reality, remote surgery, self-driving cars, and multi-player online gaming. This imposes new requirements on the design of cellular core networks. A key component of the cellular core is the control plane. Time to complete control plane operations (e.g. mobility handoff, service establishment) directly impacts the delay experienced by end-user applications. In this paper, we design Neutrino, a cellular control plane that provides users an abstraction of reliable access to cellular services while ensuring lower latency. Our testbed evaluations based on real cellular control traffic traces show that Neutrino provides an improvement in control procedure completion times by up to 3.1x without failures, and up to 5.6x under control plane failures, over existing cellular core proposals. We also show how these improvements translate into improving end-user application performance: for AR/VR applications and self-driving cars, Neutrino performs up to 2.5x and up to 2.8x better, respectively, as compared to existing EPC.
Mukhtiar Ahmad, Syed Usman Jafri, Muhammed Azam Ikram, Wasiq Noor Ahmad Qasmi, Muhammad Ali Nawazish, Zartash Afzal Uzmi, Zafar Ayyub Qazi
SIGCOMM1