Y Guo, C Hu, T Peng, H Wang… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
… for wireless network, ultra-densenetwork (UDN) is a promising solution [3] and it had already become one of the key networking mode in the fifth generation (5G) network. Network …
Q Liu, G Chuai, J Wang, J Pan - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… Abstract—Ultra-densenetworking (UDN) is a promising technology to improve the network capacity … the next serving base stations by the sequences of Received SignalStrength (RSS). …
M Kamel, W Hamouda… - … Communications surveys & …, 2016 - ieeexplore.ieee.org
… Successful prediction of the popular content has a two-fold gain, efficient use of storage … tion based on the signalstrength or the signal quality is far from the optimal operation of the …
… can be fairly favored and the network traffic can be balanced. The drawback of RSRP-based prediction is that the signal power is not equal to the signal quality. For example, consider …
… These predictions have raised alarm to … ultra-densenetwork deployment. These technical challenges need to be addressed in order to exploit the true potential of ultra-densenetworks. …
H Farooq, A Asghar, A Imran - … and Networking, 2018 - ieeexplore.ieee.org
… However, the ultra-dense deployments of SCs is on direct collision path with the … network energy that "always ON" small cells are bound to consume in an UltraDenseNetwork (UDN). In …
A Hakkarainen, J Werner, M Costa… - 2015 IEEE 82nd …, 2015 - ieeexplore.ieee.org
… 5G ultra-dense small cell networks. We also offer some insight for data fusion and location prediction … from the received signalstrength (RSS) of an uplink pilot signal with known transmit …
S Kim, J Son, B Shim - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
… ULTRA-DENSENETWORK SYSTEM A. System Model of Ultra-DenseNetwork In this … When compared to the conventional cellular networks in which a single BS serves whole mobiles …
J Cao, X Liu, W Dong, T Peng, R Duan… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
… of the predicted SINR value as the edge weight of the constructed conflict-graph in this paper because each user has a different tolerance for interference since the received signal …