A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Citations
2,562 citations
305 citations
135 citations
111 citations
References
65,425 citations
[...]
46,982 citations
37,989 citations
"A Tutorial on Ultra-Reliable and Lo..." refers background or methods in this paper
...FNNs work well in most of the small-scale problems....
[...]
...Then, problem (22) is converted to an unconstrained problem as follows, min λCMDPm >0,m=1,...,Mc max π LCMDP(π,λ CMDP)....
[...]
...By applying G(t) = r(s (t) , a (t)) + G(t + 1), we can express the value function in recursive form, known as the Bellman equation [68]....
[...]
...Illustration of actor-critic algorithm with FNNs [64, 68]....
[...]
...Depending on whether the transition probabilities are available or not, reinforcement learning algorithms are classified into two categories: model-based and modelfree [23, 68]....
[...]
[...]
33,341 citations
23,814 citations
"A Tutorial on Ultra-Reliable and Lo..." refers background in this paper
...Although the universal approximation theorem of DNNs indicates that a DNN can be arbitrarily accurate when approximating a continuous function [65, 66], how to design structures and hyperparameters of DNNs to achieve a satisfactory accuracy remains unclear....
[...]