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- W4287663553 abstract "Interference mitigation is a major design challenge in wireless systems,especially in the context of ultra-reliable low-latency communication (URLLC) services. Conventional average-based interference management schemes are not suitable for URLLC as they do not accurately capture the tail information of the interference distribution. This letter proposes a novel interference prediction algorithm that considers the entire interference distribution instead of only the mean. The key idea is to model the interference variation as a discrete state space discrete-time Markov chain. The state transition probability matrix is then used to estimate the state evolution in time, and allocate radio resources accordingly. The proposed scheme is found to meet the target reliability requirements in a low-latency single-shot transmission system considering realistic system assumptions, while requiring only ~25% more resources than the optimum case with perfect interference knowledge." @default.
- W4287663553 created "2022-07-25" @default.
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- W4287663553 date "2020-09-21" @default.
- W4287663553 modified "2023-09-27" @default.
- W4287663553 title "A Predictive Interference Management Algorithm for URLLC in Beyond 5G Networks" @default.
- W4287663553 doi "https://doi.org/10.48550/arxiv.2009.09953" @default.
- W4287663553 hasPublicationYear "2020" @default.
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