Adaptive mobility load balancing algorithm for LTE small-cell networks
Small cells were introduced to support high data-rate services and for dense deployment.
Owing to user equipment (UE) mobility and small-cell coverage, the load across a small-cell …
Owing to user equipment (UE) mobility and small-cell coverage, the load across a small-cell …
Adaptive parameters for lora-based networks physical-layer
Sub-GHz communication provides long-range coverage with low power consumption and
reduced deployment cost. LoRa (Long-Range) has emerged, among existing LPWAN (Low …
reduced deployment cost. LoRa (Long-Range) has emerged, among existing LPWAN (Low …
Efficient detection and localization of dos attacks in heterogeneous vehicular networks
Vehicular communication has emerged as a powerful tool for providing a safe and
comfortable driving experience for users. Long Term Evolution (LTE) supports and …
comfortable driving experience for users. Long Term Evolution (LTE) supports and …
In depth performance evaluation of LTE-M for M2M communications
S Dawaliby, A Bradai, Y Pousset - 2016 IEEE 12th international …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) represents the next wave in networking and communication
which will bring by 2020 tens of billions of Machine-to-Machine (M2M) devices connected …
which will bring by 2020 tens of billions of Machine-to-Machine (M2M) devices connected …
Cluster-based load balancing algorithm for ultra-dense heterogeneous networks
In a highly dense heterogeneous cellular network, the loads across cells are uneven due to
random deployment of cells and the mobility of user equipments (UEs). Such unbalanced …
random deployment of cells and the mobility of user equipments (UEs). Such unbalanced …
How to meet increased capacities by future green 5G networks: A survey
A Bohli, R Bouallegue - Ieee Access, 2019 - ieeexplore.ieee.org
The mass and widespread adoption of connected mobile devices have brought about
enormous social changes with significant economic, cultural, and technological impacts on a …
enormous social changes with significant economic, cultural, and technological impacts on a …
ALPACA: An Asymmetric Loss Prediction Algorithm for Channel Adaptation Based on a Convolutional-Recurrent Neural Network in URLLC Systems
A key feature of 5G systems is the Ultra-Reliable Low-Latency Communication (URLLC),
which can be used for remote surgery, smart grids, industrial control, etc. URLLC requires …
which can be used for remote surgery, smart grids, industrial control, etc. URLLC requires …
Transfer learning for tilt-dependent radio map prediction
Machine learning will play a major role in handling the complexity of future mobile wireless
networks by improving network management and orchestration capabilities. Due to the large …
networks by improving network management and orchestration capabilities. Due to the large …
Reinforcement learning for communication load balancing: approaches and challenges
The amount of cellular communication network traffic has increased dramatically in recent
years, and this increase has led to a demand for enhanced network performance …
years, and this increase has led to a demand for enhanced network performance …
Analisa Perbandingan Kuat Sinyal 4G LTE Antara Operator Telkomsel dan XL AXIATA Berdasarkan Paramater Drive Test Menggunakan Software G-NetTrack Pro Di …
R Efriyendro, Y Rahayu - 2017 - neliti.com
Abstract Improved quality of Long Term Evolution (LTE) network can be do it by analyze the
performance and coverage each of operator in Indonesia. Signal strength among of …
performance and coverage each of operator in Indonesia. Signal strength among of …