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Moyukh Laha

dblp:263/4379 · DBLP profile ↗
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3ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0001-8130-1179ORCID · verified

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

Computer networks · 3 · 3 first-author · 3 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
1 paper
Cellular and mobile networks · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › 5g
eMBB and URLLC coexistence
0.312026
Delay-Reliability Aware Downlink Scheduling for Multi-Sensory Immersive Extended Reality in NextG · IEEE J. Sel. Areas Commun. 2026

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

model predictive control · 1.0constrained optimization · 1.0
YearPublicationVenuePosition
2026 Protocol Data Unit Set-based QoS-aware Downlink Scheduling for Extended Reality Applications in 6G
Moyukh Laha, Gabriel-Miro Muntean
ICC1
2026 Delay-Reliability Aware Downlink Scheduling for Multi-Sensory Immersive Extended Reality in NextG
abstract
Multi-sensory Extended Reality (mXR) applications represent a cornerstone technology for immersive communications in the 6G and IMT-2030 frameworks, enabling synchronized stimulation across multiple human sensory modalities to create authentic immersive experiences. mXR applications demand simultaneous satisfaction of stringent data rate, delay, and reliability requirements across all sensory streams, necessitating an unprecedented convergence of enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC) service paradigms. Existing 5G scheduling schemes, designed to optimize either eMBB or URLLC services independently and typically handling decoupled data streams, do not address the cross-modal synchronization and joint optimization challenges of mXR applications. This paper proposesDREAM-X (Delay-Reliability Aware Scheduling for Multi-sensory XR Applications), a unified scheduling framework specifically designed for next generation (NextG) networks to support mXR services. This framework includes a novel Multi-modal Delay Tracking Queue architecture that organizes multi-sensory data units based on transmission deadlines, enabling precise cross-modal delay coordination. We formulate the scheduling problem as a constrained optimization and develop a Model Predictive Control (MPC) solution with rolling horizon optimization to ensure computational tractability for real-time deployment. The simulation results show that DREAM-X provides multi-fold gains in the number of satisfied mXR users compared to conventional and state-of-the-art XR scheduling approaches, while maintaining strict delay and reliability constraints.
Moyukh Laha, Goutam Das 0001, Gabriel-Miro Muntean
IEEE J. Sel. Areas Commun.1
2023 A Steiner Tree based efficient network infrastructure design in 5G urban vehicular networks
Moyukh Laha, Raja Datta
Comput. Commun.1