Physical Sciences › Engineering › Electrical and Electronic Engineering
Advanced Wireless Network Optimization
1 papers indexed
This topic and its hierarchy come from the OpenAlex classification, the open catalogue of the world's scientific research.
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Latest papers
- Offline Diffusion Policy for Multi-User Delay-Constrained Scheduling
Zhuoran Li, Ruishuo Chen, Hai Zhong, Longbo Huang · 11 June 2026
Effective multi-user delay-constrained scheduling is crucial in various real-world applications, including embodied AI, instant messaging, live streaming, and data center management, where efficient resource allocation is required among users with diverse delay sensitivities. In these scenarios, sch…
- A Context Augmented Multi-Play Multi-Armed Bandit Algorithm for Fast Channel Allocation in Opportunistic Spectrum Access
Ruiyu Li, Guangxia Li, Xiao Lu, Jichao Liu, Yan Jin · 26 May 2026
We study the restless contextual multi-play multi-armed bandit (MP-MAB) problem for channel allocation in the opportunity spectrum access (OSA) scenario. Most existing MP-MAB methods are impractical for real-world OSA systems as they assume many ideal conditions, incur a heavy computational cost, an…
- A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
Mohammad Pedramfar, Vaneet Aggarwal · 23 February 2026
In this paper, we analyze the problem of online convex optimization in different settings, including different feedback types (full-information/semi-bandit/bandit/etc) in either stochastic or non-stochastic setting and different notions of regret (static adversarial regret/dynamic regret/adaptive re…
- To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
Rashika Raina, Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub, Trung Q. Duong · 10 November 2025
In next-generation communications and networks, machine learning (ML) models are expected to deliver not only accurate predictions but also well-calibrated confidence scores that reflect the true likelihood of correct decisions. This paper studies the calibration performance of an ML-based outage pr…
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