Reinforcement-learning-based wireless resource allocation

2019 ◽  
pp. 371-405
Author(s):  
Rui Wang
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Wireless Resource Allocation

scholarly journals A Resource Allocation Algorithm for Ultra-Dense Networks Based on Deep Reinforcement Learning

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Huashuai Zhang ◽  
Tingmei Wang ◽  
Haiwei Shen
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Data Traffic ◽  
Wireless Data ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Q Learning ◽  
Dense Networks ◽  
Target Network ◽  
Wireless Resource Allocation

The resource optimization of ultra-dense networks (UDNs) is critical to meet the huge demand of users for wireless data traffic. But the mainstream optimization algorithms have many problems, such as the poor optimization effect, and high computing load. This paper puts forward a wireless resource allocation algorithm based on deep reinforcement learning (DRL), which aims to maximize the total throughput of the entire network and transform the resource allocation problem into a deep Q-learning process. To effectively allocate resources in UDNs, the DRL algorithm was introduced to improve the allocation efficiency of wireless resources; the authors adopted the resource allocation strategy of the deep Q-network (DQN), and employed empirical repetition and target network to overcome the instability and divergence of the results caused by the previous network state, and to solve the overestimation of the Q value. Simulation results show that the proposed algorithm can maximize the total throughput of the network, while making the network more energy-efficient and stable. Thus, it is very meaningful to introduce the DRL to the research of UDN resource allocation.

ReCARL: Resource Allocation in Cloud RANs with Deep Reinforcement Learning

2020 ◽  
pp. 1-1
Author(s):  
Zhiyuan Xu ◽  
Jian Tang ◽  
Chengxiang Yin ◽  
Yanzhi Wang ◽  
Guoliang Xue ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning

scholarly journals Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach

2021 ◽  
pp. 1-1
Author(s):  
Waleed Ahsan ◽  
Wenqiang Yi ◽  
Zhijin Qin ◽  
Yuanwei Liu ◽  
Arumugam Nallanathan
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Learning Approach

Collaborative Computation Offloading and Resource Allocation in Multi-UAV Assisted IoT Networks: A Deep Reinforcement Learning Approach

2021 ◽  
pp. 1-1
Author(s):  
Abegaz Mohammed Seid ◽  
Gordon Owusu Boateng ◽  
Stephen Anokye ◽  
Thomas Kwantwi ◽  
Guolin Sun ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Computation Offloading ◽  
Learning Approach ◽  
Multi Uav
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