A Simulation-Based Approach to Bidding Strategies for Network Resources in Competitive Wireless Networks

2006 ◽  
pp. 37-48 ◽  
Author(s):  
Fernando Beltrán ◽  
Matthias Roggendorf
Keyword(s):  
Wireless Networks ◽  
Network Resources ◽  
Bidding Strategies ◽  
Simulation Based

Quantifying QoS in Heterogeneous Networks

2017 ◽  
pp. 223-251
Author(s):  
Farnaz Farid ◽  
Seyed Shahrestani ◽  
Chun Ruan
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
The Other ◽  
Simulation Studies ◽  
Network Resources ◽  
Access Technology ◽  
Vast Number ◽  
Simulation Results ◽  
4G Wireless

The heterogeneous-based 4G wireless networks will offer noticeable advantages for both users and network operators. The users will benefit from the vibrant coverage and capacity. A vast number of available resources will allow them to connect seamlessly to the best available access technology. The network operators, on the other hand, will be benefited from the lower cost and the efficient usage of the network resources. However, managing QoS for video or voice applications over these networks is still a challenging task. In this chapter, a generalized metric-based approach is described for QoS quantification in Heterogeneous networks. To investigate the efficiency of the designed approach, a range of simulation studies based on different models of service over the heterogeneous networks are carried out. The simulation results indicate that the proposed approach facilitates better management and monitoring of heterogeneous network configurations and applications utilizing them.

Research on Dynamic Weight WFQ Algorithm of Wireless Networks

2010 ◽  
Vol 129-131 ◽  
pp. 90-94
Author(s):  
Yong Li
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Simulation Experiment ◽  
Software Tool ◽  
Differentiated Service ◽  
Network Resources ◽  
Link State ◽  
End To End Delay ◽  
Dynamic Weight ◽  
Dynamical Measurement

Excellent scheduling algorithms can optimize allocation and improve utilization of wireless resources. To improve QoS of wireless networks, this paper presents a Dynamic Weight-Weight Fair Queuing (DW-WFQ) algorithm with differentiated service that is suited to characteristics of wireless networks based on WFQ algorithm. The proposed algorithm adaptively adjusts the weights of queues according to the dynamical measurement of link state. It can fully make use of limited wireless network resources and improve the overall throughput of network.The simulation experiment results using OPNET software tool demonstrate that the proposed algorithm can improve the network throughput and reduce the average end-to-end delay, compared with WFQ algorithm.

Simulation on Networked Munitions System Control with Time Delay

2013 ◽  
Vol 347-350 ◽  
pp. 11-14
Author(s):  
Ping Sun ◽  
Shou Wei Hu ◽  
Wei Wang
Keyword(s):  
Wireless Networks ◽  
Time Delay ◽  
Wireless Communication ◽  
Time Delays ◽  
System Control ◽  
Weapon System ◽  
Control Performance ◽  
Electronic Technology ◽  
Simulation Based ◽  
New Generation

Networked munitions system is becoming more and more important with the development of modern electronic technology. This new generation of ground-based munitions are much more intelligent for the capability they have to trace targets, communicate with each other and order a killing node for vehicles caught in the kill-zone . It is useful to study and attempt to model through simulations the interaction between enemy targets and the whole munitions system . This paper is to propose a simulation-based model to study the performances of the weapon system. Especially, the sensors which sense the environment and the weapons which attack the targets are connected with wireless networks that will bring time delay to the system. We focus our efforts to evaluate how time delays from wireless communication affect the control performance of the weapon. This study introduces models for sensors and communication routing mechanisms , as well as the servo system and vehicle targets. A series of simulation trials to analyze and compare the effects of time delays have on the killing efficiency. The results of the study indicate in general that communication delay have the most effect on the systems.

scholarly journals A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Daxin Tian ◽  
Jianshan Zhou ◽  
Honggang Qi ◽  
Yingrong Lu ◽  
Yunpeng Wang ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Cellular Response ◽  
Heterogeneous Wireless Networks ◽  
Resources Allocation ◽  
Network Resources ◽  
Handover Decision ◽  
Proposed Model ◽  
Wireless Environment ◽  
Wireless Environments ◽  
Attractor Selection

We propose a bio-inspired model for making handover decision in heterogeneous wireless networks. It is based on an extended attractor selection model, which is biologically inspired by the self-adaptability and robustness of cellular response to the changes in dynamic environments. The goal of the proposed model is to guarantee multiple terminals’ satisfaction by meeting the QoS requirements of those terminals’ applications, and this model also attempts to ensure the fairness of network resources allocation, in the meanwhile, to enable the QoS-oriented handover decision adaptive to dynamic wireless environments. Some numerical simulations are preformed to validate our proposed bio-inspired model in terms of adaptive attractor selection in different noisy environments. And the results of some other simulations prove that the proposed handover scheme can adapt terminals’ network selection to the varying wireless environment and benefits the QoS of multiple terminal applications simultaneously and automatically. Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.

scholarly journals Radio Resource Allocation and Mobility Accessment of 5G Wireless Network Using Adaptive Q-LEACH Routing Protocol

2021 ◽  
Author(s):  
Premi.A ◽  
Rajakumar.S
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Wireless Network ◽  
Routing Protocol ◽  
Research Area ◽  
Maximum Speed ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Network Resources ◽  
Mobility Assessment

The implementation and operation of a Fifth Generation (5G) network aims to achieve a maximum speed, low potential, improved flexibility, and a change in requirements and technologies from service-oriented to user-oriented. The users need resource allocation and management that is effective. Established networks’ closed infrastructure and ossified services result in particularly in wireless networks, inefficient resource allocation and underutilized network resources. On the basis the standard of a service provider’s utility benefit then customer gratification, various allocation strategies are suggested. Wireless system based 5G another research area aimed at supply distribution and 5G access links is network. In this project, radio resource allocation and mobility assessment of 5G wireless network LEACH routing protocol is implemented. In terms of wireless networks, various architectural integrations of other wireless technologies such as 5G, LTE, Wi-MAX, and so on are highlighted. Furthermore, the project focuses on resource allocation approaches and strategies for cellular networks, as well as comprehensive criteria for future 5G networks

Introduction

2010 ◽  
pp. 1-13 ◽  
Author(s):  
Sasan Adibi ◽  
Raj Jain ◽  
Shyam Parekh ◽  
Bell Labs
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
User Experience ◽  
Quality Of Experience ◽  
Mobile Services ◽  
Network Resources ◽  
Acceptable Quality ◽  
New Challenges

Emergence of all IP based wired and wireless networks for mobile services, calls for new innovations and architectural approaches. Coexistence of legacy and emerging networks such as different generations of networks based on 3GPP and 3GPP2 specifications, Wi-Fi and WiMAX, have posed new challenges to guarantee acceptable Quality of Experience (QoE) to the users. Different user environments such as fixed, nomadic, and vehicular have brought about new Quality of Service (QoS) practices and have introduced policies to best optimize the network resources and enhance user experience.

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