Dynamic spectrum access with reinforcement learning for unlicensed access in 5G and beyond
Dynamic spectrum access (DSA) to achieve spectrum sharing in unlicensed bands is a
promising approach for meeting the growing demands of forthcoming and deployed wireless …
promising approach for meeting the growing demands of forthcoming and deployed wireless …
A novel machine learning approach to estimating KPI and PoC for LTE-LAA-based spectrum sharing
Machine learning (ML) approaches have been extensively exploited to model and to
improve wireless communication networks in the past few years. Nonetheless, the …
improve wireless communication networks in the past few years. Nonetheless, the …
Enhancing multi-RAT coexistence in unlicensed mmWave bands using hybrid-beamforming
The radio spectrum is becoming an increasingly scarce and valuable resource to such an
extent that sharing the unlicensed bands is inevitable. In this work, we consider a multi-cell …
extent that sharing the unlicensed bands is inevitable. In this work, we consider a multi-cell …
Bi-criteria radio spectrum sharing with subspace-based Pareto tracing
Radio spectrum is a scarce resource. To meet demands, new wireless technologies must
operate in shared spectrum over unlicensed bands (coexist). We consider coexistence of …
operate in shared spectrum over unlicensed bands (coexist). We consider coexistence of …
Optimizing unlicensed band spectrum sharing with subspace-based Pareto tracing
To meet the ever-growing demands of data throughput for forthcoming and deployed
wireless networks, new wireless technologies like Long-Term Evolution License-Assisted …
wireless networks, new wireless technologies like Long-Term Evolution License-Assisted …