학술논문

An Efficient Proportional Fair MAC Scheduling for Resource Allocation in 5G Millimeter Wave Networks
Document Type
Conference
Source
2022 25th International Conference on Computer and Information Technology (ICCIT) Computer and Information Technology (ICCIT), 2022 25th International Conference on. :276-281 Dec, 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
5G mobile communication
Scheduling algorithms
Simulation
Millimeter wave technology
Interference
Downlink
Heterogeneous networks
5G
mmWave
MAC Scheduling
Resource Allocation
ns3
Language
Abstract
Millimeter-wave (mmWave) technology is considered one of the major technologies for fifth-generation (5G) frameworks to meet the massive thirst for data traffic by guaranteeing enormous transmission capacity in the uplink, downlink, and backhaul links. However, medium access network (MAC) scheduling and admission control with respect to transmission control protocol (TCP) are still complicated in 5G heterogeneous networks. In addition, with the increasing number of users using mmWave communications, network attributes could be changed. In this paper, we design and implement a proportional fair (PF) scheduling algorithm in the MAC layer using network simulator-3 (ns3). This research inspects the downlink resource allocation among multiple users simultaneously in 5G heterogeneous networks. The simulation result depicts that the proposed approach outperforms the existing approach by an overall 14% in terms of SINR and throughput. The investigation through the proposed scheduler might be used to show the capability of 28 GHz frequency for mmWave communication and its commendable for future 5G systems with more complex structures.