scholarly journals A Survey on Radio Resource Allocation for V2X Communication

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Ahlem Masmoudi ◽  
Kais Mnif ◽  
Faouzi Zarai
Keyword(s):  
Resource Allocation ◽  
Traffic Safety ◽  
High Reliability ◽  
Radio Resource Management ◽  
D2d Communication ◽  
Radio Resource ◽  
High Data ◽  
Communication Modes ◽  
Allocation Algorithms

Thanks to the deployment of new techniques to support high data rate, high reliability, and QoS provision, Long-Term Evolution (LTE) can be applied for diverse applications. Vehicle-to-everything (V2X) is one of the evolving applications for LTE technology to improve traffic safety, to minimize congestion, and to ensure comfortable driving which requires stringent reliability and latency requirements. As mentioned in the 3rd Generation Partnership Project (3GPP), LTE-based Device-to-Device (D2D) communication is an enabler for V2X services to meet these requirements. Therefore, radio resource management (RRM) is important to efficiently allocate resources to V2X communications. In this paper, we present the V2X communications, their requirements and services, the V2X-based LTE-D2D communication modes, and the existing resource allocation algorithms for V2X communications. Moreover, we classify the existing resource allocation algorithms proposed in the literature and we compare them according to selected criteria.

scholarly journals Stackelberg Game-Based Radio Resource Management Algorithm in an Urban Rail Transit Communication System

2021 ◽  
Author(s):  
Yingxia Shao ◽  
Hailin Jiang ◽  
Hongli Zhao
Keyword(s):  
Resource Management ◽  
Stackelberg Game ◽  
Radio Resource Management ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Radio Resource ◽  
Time Frequency ◽  
Management Algorithm ◽  
Urban Rail ◽  
Communication Modes

AbstractTrain-to-wayside (T2W) and train-to-train (T2T) communication modes may coexist in future train-centric communication-based train control (CBTC) systems. The feasibility of T2T communication in urban rail transit is analyzed first. Referring to the device-to-device (D2D) communication scenario in the general cellular network, this paper establishes a radio resource optimization model for the coexistence of train-to-train communication and train-to-wayside communication. With the aim of more efficient scheduling of radio time-frequency resources in the dedicated frequency band, we propose a Stackelberg game-based radio resource management algorithm based on the consideration of different service priorities of trains. The analysis and simulation results show that the proposed algorithm can effectively guarantee the performance of the system and improve the reliability of the CBTC system.

scholarly journals COMPARATIVE ANALYSIS OF THE PERFORMANCE OF RESOURCE ALLOCATION ALGORITHMS IN LONG TERM EVOLUTION NETWORKS

2016 ◽  
Vol 36 (1) ◽  
pp. 163-171
Author(s):  
UN Nwawelu ◽  
CI Ani ◽  
MA Ahaneku
Keyword(s):  
Resource Allocation ◽  
Real Time ◽  
Long Term Evolution ◽  
Proportional Fair ◽  
Term Evolution ◽  
Allocation Algorithms ◽  
Resource Allocation Schemes ◽  
Radio Resource Scheduling ◽  
Good Number

The growth in the good number of real-time and non-real-time applications has sparked a renewed interest in exploring resource allocation schemes that can be efficient and fair to all the applications in overloaded scenarios. In this paper, the performance of six scheduling algorithms for Long Term Evolution (LTE) downlink networks were analyzed and compared. These algorithms are Proportional Fair (PF), Exponential/Proportional Fair (EXP/PF), Maximum Largest Weighted Delay First (MLWDF), Frame Level Scheduler (FLS), Exponential (EXP) rule and Logarithmic (LOG) rule.  The performances of these algorithms were evaluated using an open source simulator (LTE simulator) and compared based on network parameters which include: throughput, delay, Packet Loss Ratio (PLR), and fairness. This work aims at giving insight on the gains made on radio resource scheduling for LTE network and to x-ray the issues that require improvement in order to provide better performance to the users. The results of this work show that FLS algorithm outperforms other algorithms in terms of delay, PLR, throughput, and fairness for VoIP and video flow. It was also observed that for Best Effort (BE) flows, FLS outperforms other algorithms in terms of delay and PLR but performed least in terms of throughput and fairness. http://dx.doi.org/10.4314/njt.v36i1.21

scholarly journals Radio resource allocation algorithms for multi-service OFDMA networks: the uniform power loading scenario

2013 ◽  
Vol 56 (4) ◽  
pp. 467-480
Author(s):  
Antonis G. Gotsis ◽  
Dimitris I. Komnakos ◽  
Demosthenes D. Vouyioukas ◽  
Philip Constantinou
Keyword(s):  
Resource Allocation ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Power Loading ◽  
Allocation Algorithms ◽  
Ofdma Networks

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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