scholarly journals Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

2021 ◽  
Author(s):  
Ismail ANGRI ◽  
Mohammed Mahfoudi ◽  
Abdellah Najid
Keyword(s):  
Resource Management ◽  
High Speed ◽  
Radio Resource Management ◽  
Interference Management ◽  
Scheduling Algorithms ◽  
New Radio ◽  
Radio Resources ◽  
Resource Management Algorithms ◽  
The Stability

Abstract Efficient Radio Resource Management is a key mechanism in interference management in 5G New Radio (NR) networks, specifically in the case of the presence of mobile users moving at high speed. To this end, the prediction and the evaluation of the propagation channel sensitivity requires that the radio resources allocation in NR must be efficient and powerful. Therefore, several scheduling algorithms have been developed and tested using the mmWave model of NS-3 simulator, with the aim of enhancing their contribution to improving the quality of the signal received by users. The performances have been evaluated in terms of Signal-to-Interference-and-Noise-Ratio (SINR) and signal Block Error Rate (BLER). The simulations were run for different types of data flows, and achieved satisfactory results for most schemes. The achievements clearly show the importance of scheduling algorithms in lowering received interference, but they have also demonstrated the stability and reliability of some of those strategies.

Scheduling Algorithms and Radio Resource Management in WiMAX

2014 ◽  
pp. 219-238
Author(s):  
Yasser Sadri ◽  
Mohammdhossein Norouzibeirami
Keyword(s):  
Quality Of Service ◽  
Resource Management ◽  
High Speed ◽  
Radio Resource Management ◽  
Scheduling Algorithms ◽  
Ieee 802.16 ◽  
Wireless Access ◽  
Radio Resource ◽  
Radio Resources

The IEEE 802.16 has defined wireless access systems called WiMAX. These systems provide high-speed communications over long distances. To support multimedia applications, some service classes with Quality of Service (QoS) requirements are defined in IEEE 802.16, but the QoS scheduler is not standardized. The scheduling mechanism has a significant effect on the performance of WiMAX systems for use of bandwidth and radio resources. Some scheduling algorithms have been introduced by researchers. This study focuses on scheduling techniques proposed for WiMAX. The authors analyze a number of WiMAX scheduling algorithms in the Point-to-Multi-Point (PMP) mode and highlight their main points.

A Survey of Radio Resource Management in Cognitive Radio Networks

2013 ◽  
pp. 264-289
Author(s):  
Chengshi Zhao ◽  
Wenping Li ◽  
Jing Li ◽  
Zheng Zhou ◽  
Kyungsup Kwak
Keyword(s):  
Cognitive Radio ◽  
Resource Management ◽  
Dynamic Spectrum Access ◽  
Radio Resource Management ◽  
Radio Spectrum ◽  
Radio Resource ◽  
Green Communications ◽  
Radio Resources ◽  
Adaptive Power

The framework of “green communications” has been proposed as a promising approach to address the issue of improving resource-efficiency and the energy-efficiency during the utilization of the radio spectrum. Cognitive Radio (CR), which performs radio resource sensing and adaptation, is an emerging technology that is up to the requests of green communications. However, CR networks impose serious challenges due to the fluctuating nature of the available radio resources corresponding to the diverse quality-of-service requirements of various applications. This chapter provides an overview of radio resource management in CR networks from several aspects, namely dynamic spectrum access, adaptive power control, time slot, and code scheduling. More specifically, the discussion focuses on the deployment of CR networks that do not require modification to existing networks. A brief overview of the radio resources in CR networks is provided. Then, three challenges to radio resource management are discussed.

Review of Radio Resource Management For IMT-Advanced System

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
M. K. Ismail ◽  
A. A. M. Isa ◽  
M. S. Johal
Keyword(s):  
Resource Management ◽  
Packet Scheduling ◽  
Radio Resource Management ◽  
Mobile Wimax ◽  
Radio Resource ◽  
Air Interface ◽  
Lte Advanced ◽  
Radio Resources ◽  
Advanced System

This paper provides a review of radio resource management technologies that can be used or proposed for OFDMA-based IMT-Advanced system.  IMT-Advanced specifications significantly enhanced the existing IMT 2000 standard which are represented by LTE-Advanced and mobile WiMAX as the main successful candidates. One of the key components for OFDMA is Radio Resource Management (RRM) which is used to manage radio resources for the air interface in a cellular network. The main purpose of RRM is to utilize the available radio resources efficiently. The RRM tools such as power control, handover, packet scheduling, resource allocation and, load and admission control are needed to be controlled to maximize the performance efficiency in the wireless networks. By controlling these RRM tools, we are able to maximize the number of users in the network and let the users experience the best Quality of Service (QoS) and throughput.

Radio Resource Management Strategies for HSDPA-Enhanced UMTS Networks

2010 ◽  
pp. 31-54
Author(s):  
Dirk Staehle ◽  
Andreas Mäder
Keyword(s):  
Resource Management ◽  
Resource Sharing ◽  
High Speed ◽  
Radio Resource Management ◽  
Management Strategies ◽  
Mobile Telecommunication ◽  
Radio Resource ◽  
Telecommunication System ◽  
Packet Access ◽  
The Impact

This chapter gives an overview of the background and functionality of the high speed downlink packet access (HSDPA), and provides insights into the radio resource management of integrated UMTS/HSDPA networks. The high speed downlink packet access (HSDPA) is part of the evolution of the universal mobile telecommunication system (UMTS). It is often referred to as 3.5G system, in contrast to UMTS, which is a third generation system. The authors introduce aspects of radio resource management specific to the HSDPA like channel-aware scheduling and radio resource sharing strategies. Furthermore, the impact of radio resource management on the quality of service is analyzed and it is shown that the selection of an RRM strategy is an integral part of the network planning and deployment process

scholarly journals Fair Optimization of Video Streaming Quality of Experience in LTE Networks Using Distributed Antenna Systems and Radio Resource Management

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Elias Yaacoub ◽  
Zaher Dawy
Keyword(s):  
Resource Management ◽  
Quality Of Experience ◽  
Radio Resource Management ◽  
Geometric Mean ◽  
Video Quality ◽  
Radio Resource ◽  
Distributed Antenna Systems ◽  
Distributed Antenna ◽  
Antenna Systems

Network quality of experience (QoE) metrics are proposed in order to capture the overall performance of radio resource management (RRM) algorithms in terms of video quality perceived by the end users. Metrics corresponding to average, geometric mean, and minimum QoE in the network are measured when Max C/I, proportional fair, and Max-Min RRM algorithms are implemented in the network. The objective is to ensure a fair QoE for all users in the network. In our study, we investigate both the uplink (UL) and downlink (DL) directions, and we consider the use of distributed antenna systems (DASs) to enhance the performance. The performance of the various RRM methods in terms of the proposed network QoE metrics is studied in scenarios with and without DAS deployments. Results show that a combination of DAS and fair RRM algorithms can lead to significant and fair QoE enhancements for all the users in the network.

scholarly journals QoS Oriented Multiobjective Optimizer for Radio Resource Management of LTE-A Femtocells

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Ayesha Haider Ali ◽  
Muhammad Mohsin Nazir
Keyword(s):  
Resource Management ◽  
Radio Resource Management ◽  
Optimal Solution ◽  
Limited Resources ◽  
Radio Resource ◽  
Term Evolution ◽  
Data Rates ◽  
Transmission Opportunity

The future wireless networks support multimedia applications and require ensuring quality of the services they provide. With increasing number of users, the radio resource is becoming scarce. Therefore, how should the demands for higher data rates with limited resources be met for Long Term Evolution-Advanced (LTE-A) is turning out to be a vital issue. In this research paper we have proposed an innovative approach for Radio Resource Management (RRM) that makes use of the evolutionary multiobjective optimization (MOO) technique for Quality of Service (QoS) facilitation and embeds it with the modern techniques for RRM. We have proposed a novel Multiobjective Optimizer (MOZ) that selects an optimal solution out of a Pareto optimal (PO) set in accordance with the users QoS requirements. We then elaborate the scheduling process and prove through performance evaluation that use of MOO can provide potential solutions for solving the problems for resource allocation in the advancement of LTE-A networks. Simulations are carried out using LTE-Sim simulator, and the results reveal that MOZ outperforms the reference algorithm in terms of throughput guarantees, delay bounds, and reduced packet loss. Additionally, it is capable of achieving higher throughput and lower delay by giving equal transmission opportunity to all users and achieves 100% accuracy in terms of selecting optimal solution.

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