Jan 8, 2020 · Motivated by this fact, this paper proposes a transfer learning framework for reconstructing the radio map corresponding to a target antenna ...

Motivated by this fact, this paper proposes a transfer learning framework for reconstructing the radio map corresponding to a target antenna tilt configuration ...

: TRANSFER LEARNING FOR TILT-DEPENDENT RADIO MAP PREDICTION. 5. Fig. 2. Tilt-dependent radio maps, normalized histograms and Probability Density Functions ...

Motivated by this fact, this paper proposes a transfer learning framework for reconstructing the radio map corresponding to a target antenna tilt configuration ...

Inspired by the concept of transfer learning [2], we evaluate here the performance of different prediction approaches when varying the degree of similarity ...

Aug 28, 2018 · By leveraging knowledge from related tasks or scenarios, transfer learning algorithms can improve performance and efficiency in these areas [10] ...

Co-authors ; Transfer Learning for Tilt-Dependent Radio Map Prediction. C Parera, Q Liao, I Malanchini, C Tatino, AEC Redondi, M Cesana. IEEE Transactions on ...

Jun 25, 2018 · Motivation. The next generation of mobile networks (5G) will support more users, higher data rates, reduced latency, improved energy ...

Jun 4, 2024 · Cesana, “Transfer learning for tilt-dependent radio map prediction,”. IEEE Transactions on Cognitive Communications and Networking, vol. 6 ...

Cesana, “Transfer Learning for Tilt-Dependent Radio Map Prediction”, IEEE Transactions on Cognitive Communications and Networking (Submitted). Conferences: C ...