Deep reinforcement learning for base station switching scheme with federated LSTM-based traffic predictions

To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and interference. Although these problems already exist be...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	ETRI Journal
المؤلفون الرئيسيون:	Hyebin Park, Seung Hyun Yoon
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Electronics and Telecommunications Research Institute (ETRI) 2024-06-01
الموضوعات:	base station switching deep reinforcement learning federated learning lstm traffic forecasting
الوصول للمادة أونلاين:	https://doi.org/10.4218/etrij.2023-0065