scholarly journals Effect Of mobile relays on the OFDMA-based cellular network performance

2014 ◽  
Author(s):  
Ilhan Basturk ◽  
Berna Ozbek
Keyword(s):  
Cellular Network ◽  
Network Performance ◽  
Mobile Relays

Design and Evaluation of Wi-Fi Offloading Mechanism in Heterogeneous Networks

2021 ◽  
Vol 17 (1) ◽  
pp. 60-70
Author(s):  
Vinoth Kumar V. ◽  
Ramamoorthy S. ◽  
Dhilip Kumar V. ◽  
Prabu M. ◽  
Balajee J. M.
Keyword(s):  
Disaster Management ◽  
Ad Hoc Network ◽  
Cellular Network ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Potential Solution ◽  
Mobile Ad Hoc ◽  
Wifi Offloading ◽  
Performance Results

In recent years, WiFi offloading provides a potential solution for improving ad hoc network performance along with cellular network. This paper reviews the different offloading techniques that are implemented in various applications. In disaster management applications, the cellular network is not optimal for existing case studies because the lack of infrastructure. MANET Wi-Fi offloading (MWO) is one of the potential solutions for offloading cellular traffic. This word combines the cellular network with mobile ad hoc network by implementing the technique of Wi-Fi offloading. Based on the applications requirements the offloading techniques implemented into mobile-to-mobile (M-M), mobile-to-cellular (M-C), mobile-to-AP (M-AP). It serves more reliability, congestion eliminated, increasing data rate, and high network performance. The authors also identified the issue while implementing the offloading techniques in network. Finally, this paper achieved the better performance results compared to existing approaches implemented in disaster management.

scholarly journals Protecting Download Traffic from Upload Traffic over Asymmetric Wireless Links

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Hwangnam Kim ◽  
Woonghee Lee ◽  
Hyunsoon Kim ◽  
Hwantae Kim ◽  
Jaehyeuk Michael Yang
Keyword(s):  
Cellular Network ◽  
Network Performance ◽  
Service Providers ◽  
Data Networks ◽  
Data Packets ◽  
Link Utilization ◽  
Feedback Scheme ◽  
Mobile Stations ◽  
Cellular Data Networks ◽  
Network Technologies

Many varied mobile device networks have been developed with the advancement of communication and network technologies. Cellular data networks are currently the most widely used, and the number of cellular network subscriptions has increased steadily. Most recent wireless access technologies employ asymmetric uplinks and downlinks because mobile subscribers usually download contents from the Internet. Therefore, most cellular network service providers allocate more bandwidth to downlinks than uplinks for mobile subscribers. However, this asymmetry can have unexpected influence on network performance, particularly TCP performance. When the uplink interface is congested, TCP ACK packets are delayed by TCP data packets on the uplink, causing considerable TCP retransmissions on the downlink channel. Thus, downlink bandwidth cannot be fully utilized, which results in significantly degraded downlink throughput. To resolve this problem, this paper proposes a feedback scheme, network traffic chunk regulator (NCR). We analyzed the aforementioned problem through the empirical study, and we designed and implemented NCR based on the analysis. NCR adaptively controls TCP according to the degree of link usage asymmetry. We evaluate NCR performance through simulations and experiments with real devices. We verify that the proposed scheme allows the downlink traffic to not interfere with the aggressive uplink traffic. Thus, NCR increases total link utilization and aggregated throughput significantly, without imposing additional overhead on base or mobile stations.

scholarly journals Loader and tester swarming drones for cellular phone network loading and field test: non-stochastic particle swarm optimization

2019 ◽  
Vol 2 (2) ◽  
pp. 14 ◽  
Author(s):  
Mohammad Shekaramiz ◽  
Amir Mirzaeinia ◽  
Mostafa Hassanalian ◽  
Mehdi Mirzaeinia
Keyword(s):  
Particle Swarm Optimization ◽  
Cellular Network ◽  
Network Performance ◽  
Particle Swarm ◽  
Cellular Phone ◽  
Network Operator ◽  
Network Parameter ◽  
Swarm Optimization ◽  
Network Loading ◽  
Radio Access

Cellular network operators have problems to test their network without affecting their user experience. Testing network performance in a loaded situation is a challenge for the network operator because network performance differs when it has more load on the radio access part. Therefore, in this paper, deploying swarming drones is proposed to load the cellular network and scan/test the network performance more realistically. Besides, manual swarming drone navigation is not efficient enough to detect problematic regions. Hence, particle swarm optimization is proposed to be deployed on swarming drone to find the regions where there are performance issues. Swarming drone communications helps to deploy the PSO method on them. Loading and testing swarm separation helps to have almost non-stochastic received signal level as objective function. Moreover, there are some situations that more than one network parameter should be used to find a problematic region in the cellular network. It is also proposed to apply multi-objective PSO to find more multi-parameter network optimization at the same time.

scholarly journals Global Systems Performance Analysis for Mobile Communications (GSM) using Cellular Network CODECS

2021 ◽  
Author(s):  
Maphuthego Etu Maditsi ◽  
Thulani Phakathi ◽  
Francis Lugayizi ◽  
Michael Esiefarienrhe
Keyword(s):  
Mobile Communications ◽  
Cellular Network ◽  
Network Performance ◽  
Network Services ◽  
Technology Changes ◽  
Gsm Network ◽  
Modulation Methods ◽  
Global Systems ◽  
Near Future

Global System for Mobile Communications (GSM) is a cellular network that is popular and has been growing in recent years. It was developed to solve fragmentation issues of the first cellular system, and it addresses digital modulation methods, level of the network structure, and services. It is fundamental for organizations to become learning organizations to keep up with the technology changes for network services to be at a competitive level. A simulation analysisusing the NetSim tool in this paper is presented for comparing different cellular network codecsfor GSM network performance. Theseparameters such as throughput, delay, and jitter are analyzed for the quality of service provided by each network codec. Unicast application for the cellular network is modeled for different network scenarios. Depending on the evaluation and simulation, it was discovered that G.711, GSM_FR, and GSM-EFR performed better than the other codecs, and they are considered to be the best codecs for cellular networks.These codecs will be of best use to better the performance of the network in the near future.

scholarly journals Machine Learning Based Quantitative Association Rule Mining Method for Evaluating Cellular Network Performance

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 166815-166822
Author(s):  
Guanghui Fan ◽  
Wenjuan Shi ◽  
Liang Guo ◽  
Jun Zeng ◽  
Kaixuan Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Association Rule ◽  
Association Rule Mining ◽  
Cellular Network ◽  
Network Performance ◽  
Mining Method ◽  
Rule Mining ◽  
Quantitative Association Rule

Modeling D2D Underlaying Cellular Network for Hotspot Communications with Poisson Cluster and Hole Processes

2021 ◽  
Author(s):  
xiangdong jia ◽  
Zhemin wei ◽  
Zhenchao Hao ◽  
Yuhua Ouyang
Keyword(s):  
Cellular Network ◽  
Network Performance ◽  
Base Stations ◽  
Cluster Center ◽  
Fractional Frequency Reuse ◽  
New Approach ◽  
Modeling And Analysis ◽  
Coverage Probabilities ◽  
Common Parent ◽  
Poisson Cluster

Abstract This paper develops a new approach to the modeling and analysis of device-to-device (D2D) underlaying multi-tier cellular network for the dense hotspot communications, which consist of macro base stations (MBSs), pico BSs (PBSs), femto BSs (FBSs). A typicl user equipment (UE) can work either in D2D mode or cellular mode. Considering the dense hotspot communications, this work employs Poisson point process (PPP) to model the locations of MBSs and PBSs, and uses Poisson cluster process (PCP) to model the ones of UEs and FBSs. The locations of PBSs are also modeled as the centers of hotspots, referred to as the centers of PCPs. UEs and FBSs cluster around the common parent process PBSs. To guard the cluster-edge UEs, the clustered-UE classification and modified fractional frequency reuse (FFR) are jointly used, by which both the UEs and FBSs are classified two sets, cluster-center UEs and cluster-edge UEs, cluster-center FBSs and cluster-edge FBSs, respectively. The total frequency band is divided into two orthogonal segments, one of which is shared by D2D devices, cluster-edge FBSs, and PBSs, and the other segment is shared by cluster-center FBSs and MBSs. For such clustered multi-tier network, by using the methods from PPP, PCP, and PHP, this paper presents a tractable approach for modeling and analyzing the performance of cellular and D2D networks and gives the statistical descriptions of the experienced interference at a typical receiver by using the approximated Poisson hole processes (PCP) theory. This yields the derivations of the coverage probabilities of both the D2D receivers and cellular destinations. In additon, during the analysis of cellular UEs, to derive the coverage probabilities, this paper specially constructs a UE association criterion as well as the derivations of both the association probabilities and the statistical descriptions of association distances for cluster-center and cluster-edge UEs. The simulations and numerical results exploit the effect of various network parameters on the network performance and give the insights in terms of the proposed schemes as well as the comparison between cluster-center and cluster-edge UEs.

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