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• W3037348529 abstract "This paper investigates schemes for multihop scheduling and power control for vehicle-to-vehicle (V2V) multicast communication, taking into account the effects of both co-channel interference and adjacent channel interference, such that requirements on latency or age of information (AoI) are satisfied. Optimal performance can be achieved by formulating and solving mixed Boolean linear programming (MBLP) optimization problems for various performance metrics, including network throughput and connectivity. Fairness among network nodes (vehicles) is addressed by considering formulations that maximizes the worst-case network node performance. Solving the optimization problem comes at the cost of significant computational complexity for large networks and requires that (slow) channel state information is gathered at a central point. To address these issues, a clustering method is proposed to partition the optimization problem into a set of smaller problems, which reduces the overall computational complexity, and a decentralized algorithm that does not need channel state information is provided." @default.
• W3037348529 created "2020-07-02" @default.
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• W3037348529 date "2021-11-01" @default.
• W3037348529 modified "2023-09-26" @default.
• W3037348529 title "Radio Resource Management for V2V Multihop Communication Considering Adjacent Channel Interference" @default.
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• W3037348529 doi "https://doi.org/10.1109/tits.2020.3001366" @default.
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