scholarly journals Interference Minimization Resource Allocation for V2X Communication Underlaying 5G Cellular Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Xiaoqin Song ◽  
Kuiyu Wang ◽  
Lei Lei ◽  
Liping Zhao ◽  
Yong Li ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Power Allocation ◽  
Communication Networks ◽  
Transmission Rate ◽  
Transmission Power ◽  
Interference Minimization ◽  
Initial Power ◽  
Cellular Mobile ◽  
Optimization Mechanism

In this paper, the resource allocation for vehicle-to-everything (V2X) underlaying 5G cellular mobile communication networks is considered. The optimization problem is modeled as a mixed binary integer nonlinear programming (MBINP), which minimizes the interference to 5G cellular users (CUs) subject to the quality of service (QoS), the total available power, the interference threshold, and the minimal transmission rate. To achieve that, the original MBINP is decomposed into three steps: transmission power initialization, subchannel assignment, and power allocation. Firstly, the minimum transmission power required by the V2X users (VUs) is set as the initial power value. Secondly, the Hungarian algorithm is used to obtain the appropriate subchannel. Finally, an optimization mechanism is proposed to the power allocation. Simulation results show that the proposed algorithm can not only ensure the minimal transmission rate of VUs but also further improve the CUs’ channel capacity under the premise of guaranteeing the QoS of the CUs.

scholarly journals Security Aware Resource Allocation, Scheduling for Cognitive-NOMA Network

2020 ◽  
Vol 9 (4) ◽  
pp. 35-44
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Multiple Access ◽  
Transmission Rate ◽  
Optimization Strategy ◽  
User Scheduling ◽  
Combined Model ◽  
Eavesdropping Attack ◽  
Multiple Access Schemes

The demand of real-time wireless communication is increasing drastically where users demand for better Quality of Service (QoS) for various applications. In order to satisfy the communication requirement, communication spectrum must be utilized efficiently and all the available resource must be allocated appropriately. Recently, the cognitive radio network has gained attraction in this field of communication due to its efficient nature of spectrum sensing and sharing. However, the interference between primary and secondary user is a tedious task which can degrade the performance. Hence, multiple-access schemes are introduced and Non-Orthogonal Multiple Access (NOMA) is considered as most promising technique. Several models have been introduced based on the combined model of CR (Cognitive Radio) and NOMA but dynamic resource allocation, channel state information and eavesdropping are the most challenging task in this field. Moreover, user scheduling is also an important parameter which improves the resource utilization. In this work, we have focused on downlink communication for CR-NOMA network and presented a new approach for resource allocation and user scheduling by presenting an optimization strategy. In order to address the eavesdropping attack, the secrecy transmission rate and secrecy capacity are introduced. Finally, simulation study is carried out and the performance of proposed approach is compared with the existing techniques which shows that the proposed approach achieves higher throughput and improve outage probability.

scholarly journals A Novel Subchannel and Power Allocation Algorithm in V2V Communication

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ning Du ◽  
Changqing Zhou ◽  
Xiyuan Ma
Keyword(s):  
Resource Allocation ◽  
Power Allocation ◽  
Transmission Rate ◽  
Allocation Problem ◽  
Matching Theory ◽  
Spectrum Efficiency ◽  
Mixed Integer ◽  
Integer Optimization ◽  
Allocation Algorithm ◽  
V2v Communication

This paper investigates resource allocation of latency constrained vehicle-to-vehicle (V2V) communication. When a subchannel of a vehicle-to-infrastructure (V2I) link can be reused by multiple V2V links, a nonlinear mixed integer optimization problem with the goal of maximizing the spectral efficiency of the system is derived under the constraints of minimum transmission rate of V2I links and transmission latency of V2V links. The subchannel allocation problem is solved by means of two-sided exchange matching theory, optimal transmission power of V2I and V2V links is solved based on the poly-block approximation (PBA) algorithm, and the system spectrum efficiency is maximized through loop iteration. In order to reduce the computational complexity of power allocation problem, a power allocation algorithm based on iterative convex optimization (ICO) is proposed. The convergence of the resource allocation algorithm is also proved. The simulation results show that the proposed algorithms can guarantee transmission latency requirements of V2V links and improve the system sum rate and access ratio of V2V links. Compared with two traditional algorithms, latency of poly-block approximation combined with many to one matching (PBAMTO) is reduced by 30.41% and 20.43%, respectively.

scholarly journals Radio Resource Allocation For Device to Device Network Using Auction Algorithm

2019 ◽  
Vol 16 (2) ◽  
pp. 53
Author(s):  
Mohamad Yasin Ramadhan ◽  
Vinsensius Sigit ◽  
Arfianto Fahmi
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Data Rate ◽  
Network Systems ◽  
Allocation Algorithm ◽  
Cell Radius ◽  
5G Network ◽  
The Future ◽  
Device To Device

One application of communication from the 5G network in the future is to implement Device to Device (D2D) into heterogeneous multi-tiered communication networks consisting of small cell communications between eNB, cellular and D2D. The application of D2D is useful for the future even though it has several problems with one of them being interference with the frequency of other devices in the same cell. This can affect Quality of Service (QoS) in D2D communication so that it requires the application of a resource allocation distribution that can increase data rate and reduce interference. One of the algorithms used for the distribution of resource allocation in communication network systems is the Auction allocation algorithm. The auction allocation algorithm introduced in this journal provides a solution to divide resources fairly for all D2D pairs. The data rate increases by increasing the number of resource blocks and decreasing the cell radius.

Simulation modeling of packet switching network segment functioning

2019 ◽  
pp. 75-82
Author(s):  
D. V. Shelkovoy ◽  
A. A. Chernikov
Keyword(s):  
Quality Of Service ◽  
Communication Networks ◽  
Simulation Modeling ◽  
Data Stream ◽  
Switching Network ◽  
Data Packets ◽  
Channel Resource ◽  
Switching Node ◽  
Joint Examination

The testing results of required channel resource mathematical estimating models for the for serving the proposed multimedia load in packet-switched communication networks are presented in the article. The assessment of the attainable level of quality of service at the level of data packet transportation was carried out by means of simulation modeling of the functioning of a switching node of a communication network. The developed modeling algorithm differs from the existing ones by taking into account the introduced delay for processing each data stream packet arriving at the switching node, depending on the size of the reserved buffer and the channel resource for its maintenance. A joint examination of the probability of packet loss and the introduced delay in the processing of data packets in the border router allows a comprehensive assessment of the quality of service «end to end», which in turn allows you to get more accurate values of the effective data transmitted rate by aggregating flows at the entrance to the transport network.

Empresas familiares en zonas marginales. Estrategias de subsistencia y financiación pública en la localidad de ciudad bolívar de Bogotá

2017 ◽  
Vol 7 (12) ◽  
pp. 3
Author(s):  
Jenny Paola Cervera Quintero
Keyword(s):  
Quality Of Life ◽  
Resource Allocation ◽  
Family Business ◽  
City Government ◽  
The Real ◽  
Calidad De Vida ◽  
Institutional Action ◽  
The City

Esta investigación muestra las características y estrategias socioeconómicas identificadas en un grupo de famiempresas de confección en Ciudad Bolívar, localidad de Bogotá, con las cuales logran la permanencia de sus negocios y así la reproducción de la vida y la subsistencia de sus familias. Este primer elemento se contrasta con las políticas de consecución de ingresos desarrolladas por los gobiernos distritales en el período 2000-2013, con el fin de encontrar los elementos comunes y el real aporte con el que las políticas sociales y económicas del Distrito benefician la economía popular de la ciudad, teniendo como referencia el grupo de famiempresas con el que se trabajó. Después de obtener un paralelo entre las políticas socioeconómicas del Distrito y las necesidades reales de las famiempresas, se desarrolla un ejercicio práctico aplicando la metodología de Vester como base para la formulación de recomendaciones dirigidas hacia los gobiernos distritales, en las que se manifiestan las prioridades que esta población objetivo espera de la acción institucional para mejorar el desempeño de sus famiempresas y, por ende, el de su consecución de ingresos para mejor su calidad de vida y la de sus familias.ABSTRACTThis research examines the socio-economic characteristics and strategies pertaining to a group of family business in the apparel sector in Ciudad Bolivar (Bogota), which ensures some stability in the business itself and in their families´ livelihood. This first element is contrasted with the policies of resource allocation pursued by Bogota local administrations in the period 2000-2013, in order to identify the real governmental contributions to thelocal economy. Next, a practical exercise is conducted by applying the methodology of Vester as a basis for the formulation of recommendations addressed to the city government; those recommendations depict the priorities that the targeted population expects from the institutional action to improve the performance of their business and to enhance their income to better their quality of life and that of their families. Fecha de recepción: 23 agosto 2016Fecha de aprobación: 15 noviembre de 2016Fecha de publicación: 6 de enero de 2017

scholarly journals D2D Assisted Cellular Networks in Licensed and Unlicensed Spectrum: Matching-Iteration-Based Joint User Access and Resource Allocation

Algorithms ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 80
Author(s):  
Qiuqi Han ◽  
Guangyuan Zheng ◽  
Chen Xu
Keyword(s):  
Resource Allocation ◽  
Cellular Networks ◽  
System Capacity ◽  
System Throughput ◽  
Unlicensed Spectrum ◽  
Resource Allocation Algorithm ◽  
User Access ◽  
Limited Spectrum

Device-to-Device (D2D) communications, which enable direct communication between nearby user devices over the licensed spectrum, have been considered a key technique to improve spectral efficiency and system throughput in cellular networks (CNs). However, the limited spectrum resources cannot be sufficient to support more cellular users (CUs) and D2D users to meet the growth of the traffic data in future wireless networks. Therefore, Long-Term Evolution-Unlicensed (LTE-U) and D2D-Unlicensed (D2D-U) technologies have been proposed to further enhance system capacity by extending the CUs and D2D users on the unlicensed spectrum for communications. In this paper, we consider an LTE network where the CUs and D2D users are allowed to share the unlicensed spectrum with Wi-Fi users. To maximize the sum rate of all users while guaranteeing each user’s quality of service (QoS), we jointly consider user access and resource allocation. To tackle the formulated problem, we propose a matching-iteration-based joint user access and resource allocation algorithm. Simulation results show that the proposed algorithm can significantly improve system throughput compared to the other benchmark algorithms.

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