Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption

F Tang, B Mao, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …

Age of information: An introduction and survey

RD Yates, Y Sun, DR Brown, SK Kaul… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
We summarize recent contributions in the broad area of age of information (AoI). In
particular, we describe the current state of the art in the design and optimization of low …

Spectrum exploration and exploitation for cognitive radio: Recent advances

J Lunden, V Koivunen, HV Poor - IEEE signal processing …, 2015 - ieeexplore.ieee.org
The lack of availability of radio spectrum for wireless communication purposes is becoming
a serious problem as more wireless systems and services are being developed and operate …

Scheduling policies for minimizing age of information in broadcast wireless networks

I Kadota, A Sinha, E Uysal-Biyikoglu… - IEEE/ACM …, 2018 - ieeexplore.ieee.org
In this paper, we consider a wireless broadcast network with a base station sending time-
sensitive information to a number of clients through unreliable channels. The Age of …

Deep multi-user reinforcement learning for distributed dynamic spectrum access

O Naparstek, K Cohen - IEEE transactions on wireless …, 2018 - ieeexplore.ieee.org
We consider the problem of dynamic spectrum access for network utility maximization in
multichannel wireless networks. The shared bandwidth is divided into K orthogonal …

Deep-learning-based wireless resource allocation with application to vehicular networks

L Liang, H Ye, G Yu, GY Li - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
It has been a long-held belief that judicious resource allocation is critical to mitigating
interference, improving network efficiency, and ultimately optimizing wireless communication …

Deep reinforcement learning for dynamic multichannel access in wireless networks

S Wang, H Liu, PH Gomes… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We consider a dynamic multichannel access problem, where multiple correlated channels
follow an unknown joint Markov model and users select the channel to transmit data. The …

[图书][B] Multi-armed bandit allocation indices

J Gittins, K Glazebrook, R Weber - 2011 - books.google.com
In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-
armed bandit problem and his subsequent investigation of a wide of sequential resource …

Minimizing the age of information in broadcast wireless networks

I Kadota, E Uysal-Biyikoglu, R Singh… - 2016 54th Annual …, 2016 - ieeexplore.ieee.org
We consider a wireless broadcast network with a base station sending time-sensitive
information to a number of clients. The Age of Information (AoI), namely the amount of time …

[图书][B] Principles of cognitive radio

E Biglieri - 2013 - books.google.com
Widely regarded as one of the most promising emerging technologies for driving the future
development of wireless communications, cognitive radio has the potential to mitigate the …