Internet of things 2.0: Concepts, applications, and future directions
Applications and technologies of the Internet of Things are in high demand with the increase
of network devices. With the development of technologies such as 5G, machine learning …
of network devices. With the development of technologies such as 5G, machine learning …
Real‐World Wireless Network Modeling and Optimization: From Model/Data‐Driven Perspective
With the rapid development of the fifthgeneration wireless communication systems, a
profound revolution in terms of transmission capacity, energy efficiency, reliability, latency …
profound revolution in terms of transmission capacity, energy efficiency, reliability, latency …
通信人工智能的下一个十年
欧阳晔， 王立磊， 杨爱东， 马利克， 萨哈， 大卫… - 电信 …, 2021 - infocomm-journal.com
移动通信技术走过了37 年的发展历程, 人工智能技术也已走过了64 年的发展历程.
从早期的各自独立演进, 到5G 与人工智能开始深度融合发展,“5G 与人工智能” …
从早期的各自独立演进, 到5G 与人工智能开始深度融合发展,“5G 与人工智能” …
An efficient stochastic gradient descent algorithm to maximize the coverage of cellular networks
Network coverage and capacity optimization is an important operational task in cellular
networks. The network coverage maximization by adjusting azimuths and tilts of antennas is …
networks. The network coverage maximization by adjusting azimuths and tilts of antennas is …
The next decade of telecommunications artificial intelligence
It has been an exciting journey since the mobile communications and artificial intelligence
were conceived 37 years and 64 years ago. While both fields evolved independently and …
were conceived 37 years and 64 years ago. While both fields evolved independently and …
Online antenna tuning in heterogeneous cellular networks with deep reinforcement learning
E Balevi, JG Andrews - IEEE Transactions on Cognitive …, 2019 - ieeexplore.ieee.org
We aim to jointly optimize antenna tilt angle, and vertical and horizontal half-power
beamwidths of the macrocells in a heterogeneous cellular network (HetNet). The …
beamwidths of the macrocells in a heterogeneous cellular network (HetNet). The …
Cellular network capacity and coverage enhancement with MDT data and deep reinforcement learning
Recent years witnessed a remarkable increase in the availability of data and computing
resources in communication networks. This contributed to the rise of data-driven over model …
resources in communication networks. This contributed to the rise of data-driven over model …
Joint downlink and uplink tilt-based self-organization of coverage and capacity under sparse system knowledge
Concurrent self-organization of coverage and capacity in both downlink (DL) and uplink (UL)
is an ambitious task since 1) Coverage and capacity are conflicting key performance …
is an ambitious task since 1) Coverage and capacity are conflicting key performance …
A machine learning assisted method of coverage and capacity optimization (CCO) in 4G LTE self organizing networks (SON)
Z Lin, Y Ouyang, L Su, W Lu, Z Li - 2019 Wireless …, 2019 - ieeexplore.ieee.org
Self-Organizing Network (SON) has been introduced more than a decade by the Next
Generation Mobile Networks (NGMN) and later standardized by the 3rd Generation Partner …
Generation Mobile Networks (NGMN) and later standardized by the 3rd Generation Partner …
A Parallel Zeroth-Order Framework For Efficient Cellular Network Optimization
P He, S Lu, F Xu, Y Kang, Q Yan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Network optimization plays a crucial role in wireless communications. However, the
optimization of contemporary 5G networks is challenging due to its black-box nature and …
optimization of contemporary 5G networks is challenging due to its black-box nature and …