Reduced Complexity Optimal Resource Allocation for Enhanced Video Quality in a Heterogeneous Network Environment

Author:

Agarwal Bharat,Ruffini Marco,Muntean Gabriel-Miro

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Study of Enterprise Resource Optimization Scheme from the Perspective of Knapsack Problems;Applied Mathematics and Nonlinear Sciences;2023-06-15

2. A Low Complexity ML-Assisted Multi-knapsack-based Approach for User Association and Resource Allocation in 5G HetNets;2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2023-06-14

3. Quantum Approximate Optimization Algorithm for Knapsack Resource Allocation Problems in Communication Systems;ICC 2023 - IEEE International Conference on Communications;2023-05-28

4. QoE-Driven Optimization in 5G O-RAN-Enabled HetNets for Enhanced Video Service Quality;IEEE Communications Magazine;2023-01

5. Application of Big Data Technology in Ecological Environment Quality Evaluation System;2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2022-12-02

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