throughput

The TiHAN-V2X Dataset was collected in Hyderabad, India, across various Vehicle-to-Everything (V2X) communication types, including Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Infrastructure-to-Vehicle (I2V), and Vehicle-to-Cloud (V2C). The dataset offers comprehensive data for evaluating communication performance under different environmental and road conditions, including urban, rural, and highway scenarios.

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The data set was used to produce three figures (Figs. 4, 5, and 6) in the experimental section of a manuscript submitted for review to the IEEE Communications Magazine. The submission, titled Lightweight Determinism in Large-Scale Networks, describes a novel approach to the realization of network determinism in packet-switched networks of generic size and topology.

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In-building wireless solutions, such as distributed antenna systems and small cells, appear as alternatives for mobile operators to provide coverage, capacity and data traffic to subscribers in indoor scenarios where service from the macro network is poor, due to RF propagation losses, capacity limitations and signal interference. Each indoor scenario presents unique challenges in terms of throughput and spectral efficiency.

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This dataset includes real-world time-series statistics from network traffic on real commercial LTE networks in Greece. The purpose of this dataset is to capture the QoS/QoE of three COTS UEs interacting with three edge applications. Specifically, the following features are included:  Throughput and Jitter for each UE-Application and Channel Quality Indicator (CQI) for each UE. The interactions were generated from a realistic network behavior in an office by developing multiple network traffic scenarios.

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This is the MATLAB .fig file from the paper "Massive User Transmission Enabled Combinatorial Based Non-Orthogonal Multiple Access Wireless Networks With Theoretical Analysis"

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GENERATION OF MODE SELECTION PROBABILITY - SINGLE RATE CASE, IMPORTANCE OF DIRECT PATH, COMPARISON WITH CONVENTIONAL INCREMENTAL SCHEME

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