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Quantum Computing for Artificial Intelligence Based Mobile Network Optimization
[article]
2021
arXiv
pre-print
In this paper, we discuss how certain radio access network optimization problems can be modelled using the concept of constraint satisfaction problems in artificial intelligence, and solved at scale using a quantum computer. As a case study, we discuss root sequence index (RSI) assignment problem - an important LTE/NR physical random access channel configuration related automation use-case. We formulate RSI assignment as quadratic unconstrained binary optimization (QUBO) problem constructed
arXiv:2106.13917v1
fatcat:dfg2cuansvcphdhofyu5cmvzim