Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Interference Prediction for Low-Complexity Link Adaptation in Beyond 5G
  Ultra-Reliable Low-Latency Communications   Traditional link adaptation (LA) schemes in cellular network must be revised
for networks beyond the fifth generation (b5G), to guarantee the strict latency
and reliability requirements advocated by ultra reliable low latency
communications (URLLC). In particular, a poor error rate prediction potentially
increases retransmissions, which in turn increase latency and reduce
reliability. In this paper, we present an interference prediction method to
enhance LA for URLLC. To develop our prediction method, we propose a kernel
based probability density estimation algorithm, and provide an in depth
analysis of its statistical performance. We also provide a low complxity
version, suitable for practical scenarios. The proposed scheme is compared with
state-of-the-art LA solutions over fully compliant 3rd generation partnership
project (3GPP) calibrated channels, showing the validity of our proposal.

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The categories of this paper are: patt-sol
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The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: supr-con
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The categories of this paper are: comp-gas
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The categories of this paper are: ao-sci
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The categories of this paper are: mtrl-th
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The categories of this paper are: eess
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The categories of this paper are: q-fin
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The categories of this paper are: q-alg
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The categories of this paper are: adap-org
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The categories of this paper are: funct-an