Bargaining solutions in heterogeneous networks: A reinforcement learning‐based approach-Reference-Cited by-同舟云学术

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Bargaining solutions in heterogeneous networks: A reinforcement learning‐based approach

Published:2021-09-06 Issue:18 Volume:15 Page:2315-2329
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Ebrahimkhani Atena¹^ORCID,Akhbari Bahareh¹^ORCID

Affiliation:

1. Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12272

Reference34 articles.

1. Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective

2. An analysis of wireless backhaul for picocell base stations in heterogeneous networks

3. Achieving User-Level Fairness in Open-Access Femtocell-Based Architecture

4. Power Control of Femtocells Based on Max-Min Fairness in Heterogeneous Networks

5. Fair Resource Allocation With Interference Mitigation and Resource Reuse for LTE/LTE-A Femtocell Networks

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1. Hierarchical aerial offload computing algorithm based on the Stackelberg-evolutionary game model;Computer Networks;2024-05

2. Shannon meets Stackelberg on the cognitive interference channel part I: A deterministic view;Transactions on Emerging Telecommunications Technologies;2023-02-13

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