A multi-armed bandit that discretizes and searches non-uniform preamble access probabilities comes within about 5% of an SQP-optimized allocation for high-priority RACH throughput, but its reward scaling depends on the unknown device count.
How accurate is the RACH procedure model in LTE and LTE-A?
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach
A multi-armed bandit that discretizes and searches non-uniform preamble access probabilities comes within about 5% of an SQP-optimized allocation for high-priority RACH throughput, but its reward scaling depends on the unknown device count.