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New Joint-Thompson Sampling algorithm improves communication link adaptation

Researchers have introduced a new algorithm called Joint-Thompson Sampling (Joint-TS) for link adaptation in communication systems. This algorithm models the problem as a multi-armed bandit, where each modulation and coding scheme (MCS) is an arm. Unlike traditional Thompson Sampling, Joint-TS uses a multivariate ordered Beta distribution to account for the inherent ordering of MCS success probabilities, leading to more robust and consistent performance across various scenarios. AI

IMPACT This research could lead to more efficient and reliable communication systems by improving link adaptation strategies.

RANK_REASON The cluster describes a new algorithm proposed in a research paper submitted to arXiv. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Joint-Thompson Sampling algorithm improves communication link adaptation

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The cluster describes a new algorithm proposed in a research paper submitted to arXiv. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Vignatha Vinjam, Manjunath Kolavennu, Myna Vajha, Karthik Periyapattana Narayanaprasad ·

    Link Adaptation Using Joint-Thompson Sampling

    arXiv:2607.11075v1 Announce Type: new Abstract: The choice of Modulation and Coding (MCS) type for a particular channel condition is made through link adaptation (LA) algorithms that operate at the MAC layer. These algorithms rely on the ACK/NACK statistics and the channel qualit…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Link Adaptation Using Joint-Thompson Sampling

    The choice of Modulation and Coding (MCS) type for a particular channel condition is made through link adaptation (LA) algorithms that operate at the MAC layer. These algorithms rely on the ACK/NACK statistics and the channel quality index (CQI) feedback. Several existing works m…