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20092026
most citedDelay-Based Back-Pressure Scheduling in Multihop Wireless Networks

119 citations · 884 across the 130 of their papers we have counts for

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30 papers · 1 filter

cs.NI2026

Online Scheduling for Throughput Maximization of Time-varying Markovian Channels with Unknown Statistics

Tasmeen Zaman Ornee, Clement Kam, Ness B. Shroff

We consider a wireless scheduling problem in downlink wireless networks with unknown channel statistics, where a Base Station (BS) sends data to multiple users. The scheduling perf…

cs.NI2026

Abstractions for Network Intelligence: A Reference Architecture for AI at the Wireless Edge

Salil Reddy, Haohuang Wen, Ness Shroff +5

Networks are increasingly adopting AI as are AI applications leveraging networks. Awareness sharing between networks and AI applications promises to unlock higher levels of network…

cs.NI2025

Curated Collaborative AI Edge with Network Data Analytics for B5G/6G Radio Access Networks

Sardar Jaffar Ali, Syed M. Raza, Duc-Tai Le +4

Despite advancements, Radio Access Networks (RAN) still account for over 50\% of the total power consumption in 5G networks. Existing RAN split options do not fully harness data po…

cs.NI2023

Optimal Edge Caching For Individualized Demand Dynamics

Guocong Quan, Atilla Eryilmaz, Ness Shroff

The ever-growing end user data demands, and the simultaneous reductions in memory costs are fueling edge-caching deployments. Caching at the edge is substantially different from th…

cs.NI2023★ 3 cited

Near Delay-Optimal Scheduling of Batch Jobs in Multi-Server Systems

Yin Sun, C. Emre Koksal, Ness B. Shroff

We study a class of scheduling problems, where each job is divided into a batch of unit-size tasks and these tasks can be executed in parallel on multiple servers with New-Better-t…

cs.NI2023

Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems

Babak Badnava, Keenan Roach, Kenny Cheung +2

In this paper, we consider a task offloading problem in a multi-access edge computing (MEC) network, in which edge users can either use their local processing unit to compute their…