.png){kind=icon}
返回
Completely Uncoupled Utility Maximization Algorithms for State Dependent Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/TWC.2021.3094556.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We study a completely uncoupled resource allocation algorithm for a heterogeneous network with the objective of maximizing the sum of the utilities (on the average pay-off) of users. We consider a state-dependent network, where the pay-off achieved by the users are a function of their actions as well as the state of the system. We consider four different scenarios depending on the state evolution and the users' knowledge of the system state. In this context, we present completely uncoupled algorithms for utility maximization, where the users' action is entirely a function of its past actions and its received pay-off. In particular, the user is oblivious to the actions of the other users in the network. Using the theory of perturbed Markov chains, we show the optimality of our algorithms under appropriate scenarios.
Keyword:
Interference
Wireless fidelity
Signal to noise ratio
Games
Resource management
Markov processes
Convergence
Distributed resource allocation
network utility maximization
heterogenous network
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
.png){kind=icon}
Effect of modified Taohongsiwu decoction on patients with chemotherapy-induced hand-foot syndrome
OAAI
OAAI分享收藏A Hybrid Approach for Radio Resource Management in Heterogeneous Cognitive Networks异构认知网络中无线资源管理的混合方法
PREAI
分享收藏
查看更多内容