M.Sajid MUSHTAQ
Université Paris-Est Créteil, IUT, Post-Doc
- Dr. M. Sajid Mushtaq is a research engineer in LiSSi Laboratory, University of Paris-Est Créteil (UPEC) Val de Marne,... moreDr. M. Sajid Mushtaq is a research engineer in LiSSi Laboratory, University of Paris-Est Créteil (UPEC) Val de Marne, France. He completed his Master of Science in Electrical Engineering with major in Wireless Networks and Electronics (WNE) from Linköping University, Sweden. He received his PhD degree in Computer Science and Networking from UPEC, and joined LiSSi Laboratory in the same year. His research focuses to identify and investigate the impact of different factors that affect the end user perceived quality, and define the methods to measure these factors in order to improve the user’s Quality of Experience (QoE). It covered a wide domain of network technologies that consider Over-the-Top, and IoT services on different networks, i.e. Wired, WiFi, LTE-A, 5G. His research interests include Cloud networks, Multi-homing, Energy optimization, Quality of Experience, and Quality of Service of heterogeneous networks. He has served as a Technical Program Committee (TPC) member in International conferences (ICC, WCNC, GlobeCom, SaCoNET, WWIC, FNC, AdHocNets, etc.). He is a member of IEEE and also IEEE Communication Societies (CSR, Comsoft, etc.) He works on two European Celtic-Plus projects, (i.e. IPNQSIS and NOTTS) and fully responsible to manage project activities contributed by UPEC, and he also participates to prepare new project proposals for national, European, and International projects.
Researchgate : https://www.researchgate.net/profile/Msajid_Mushtaq
Linkedin : https://fr.linkedin.com/in/dr-m-sajid-mushtaq-90a06b15edit
Research Interests:
It is a critical requirement of the future 5G communication networks to provide high speed and significantly reduce the network energy consumption. Energy efficient networks along with an energy saving strategy in mobile devices play a... more
It is a critical requirement of the future 5G communication networks to provide high speed and significantly reduce the network energy consumption. Energy efficient networks along with an energy saving strategy in mobile devices play a vital role in the mobile revolution. The new strategies should not only focus on wireless base stations, which consumes most of the power, but also considers the other power consumption elements for future mobile communication networks, including User Equipment (UE). In this paper, we have proposed a method that calculates the power consumption of a 5G network by considering its main elements based on current vision of 5G network infrastructure. Our proposed model uses the component based methodology that simplifies the process by taking into account the different high power consuming elements. The proposed method is evaluated by considering the three UE's DRX models and Virtual Base Station (VBS) with respect to different DRX timer in terms of Po...
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Research Interests: Computer Science, Multimedia, Video, Communication systems, Cloud Computing, and 6 moreVoip, QoS, QoE, Cloud, Multimedia Services, and G
International audienc
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The 4G standard Long Term Evolution-Advanced (LTE-A) has been deployed in many countries. Now, technology is evolving towards the 5G standard since it is expecting to start its services in 2020. The 5G cellular networks will mainly... more
The 4G standard Long Term Evolution-Advanced (LTE-A) has been deployed in many countries. Now, technology is evolving towards the 5G standard since it is expecting to start its services in 2020. The 5G cellular networks will mainly contain in cloud computing and primarily Quality of Service (QoS) parameters (e.g. delay, loss rate, etc.) influence the cloud network performance. The impact of user perceived Quality of Experience (QoE) significantly relies on the QoS parameters. The key challenge of 5G technology is to reduce the delay less than one millisecond. In this paper, we have described a method that minimizes the overall network delay for constant bit rate (VoIP) and variable bit rate (video) traffic model. We also proposed a method that measures the user's QoE for video streaming traffic using the network QoS parameters, i.e. delay and packet loss rate. The performance of proposed QoE method is compared with QoV method, and our proposed QoE method performs best by careful...
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Research Interests: Multimedia, LTE, Voip, QoS, Quality of Service, and 5 moreThroughput, Mathematical Model, Delays, Packet Loss, and Downlink
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Network interface selection Multi attribute decision making (MADM) Technique for order preference by similarity to ideal solution (TOPSIS) Ranking abnormality Rank reversal a b s t r a c t The rapid evolution in mobile wireless... more
Network interface selection Multi attribute decision making (MADM) Technique for order preference by similarity to ideal solution (TOPSIS) Ranking abnormality Rank reversal a b s t r a c t The rapid evolution in mobile wireless communication networks has generated Heterogeneous Wireless Networks (HWNs), which cover a diverse range of networks (e.g., 2G, 3G, and LTE-A). In HWNs, a mobile device supports multiple network interfaces that use different access methods for wireless links. In such an environment, the main challenge is Always Best Connected (ABC), which means that the mobile nodes rank the network interfaces and select the best one at anytime and anywhere according to multiple criteria (application-related criteria, network-related criteria, terminal-related criteria, user-related criteria). In this context, Multi Attribute Decision Making (MADM) techniques present a promising solution for the network interface selection problem. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is one widely adopted MADM method. TOPSIS suffers from ranking abnormalities, e.g., if a low-ranking network (alternative) is disconnected or a new network is discovered, then the order of the higher-ranking networks will change abnormally. These abnormalities can potentially decrease the quality of the results. In this paper, we propose new TOPSIS-based approaches for network interface selection that efficiently tackle the ranking abnormality problem in HWNs. The performance of our methods is evaluated through simulations. The results show that the proposed approaches reduce or completely eliminate the rank reversal, either when networks are disconnected or new networks are connected.
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The 4G standard Long Term Evolution-Advanced (LTE-A) has been deployed in many countries. Now, technology is evolving towards the 5G standard since it is expecting to start its service in 2020. The 5G cellular networks will mainly contain... more
The 4G standard Long Term Evolution-Advanced (LTE-A) has been deployed in many countries. Now, technology is evolving towards the 5G standard since it is expecting to start its service in 2020. The 5G cellular networks will mainly contain in cloud computing and primarily Quality of Service (QoS) parameters (e.g. delay, loss rate, etc.) influence the cloud network performance. The impact of user perceived Quality of Experience (QoE) using multimedia services, and application significantly relies on the QoS parameters. The key challenge of 5G technology is to reduce the delay less than one millisecond. In this paper, we have described a method that minimizes the overall network delay for multimedia services; which are constant bit rate (VoIP) and variable bit rate (video) traffic model. We also proposed a method that measures the user’s QoE for video streaming traffic using the network QoS parameters, i.e. delay and packet loss rate. The performance of the proposed QoE method is compared with QoV method, and our proposed QoE method performs best by carefully handle the impact of QoS parameters. The results show that our described method successfully reduces the overall network delays, which result to maximize the user’s QoE
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ABSTRACT The emerging and fastest growing multimedia services such as Skype, GTalk and interactive video gaming have created new challenges for wireless communication technologies, especially in terms of resource allocation and power... more
ABSTRACT The emerging and fastest growing multimedia services such as Skype, GTalk and interactive video gaming have created new challenges for wireless communication technologies, especially in terms of resource allocation and power optimization of User Equipments (UEs). The efficient resources and the power optimization are very important in the next communication systems because new multimedia services are more resource and power hungry. Having more traffic flow in the downlink as compared to the uplink, the resource allocation schemes in the downlink are more important than those in the uplink. In this paper, we have proposed a new downlink scheduling scheme, known as Quality-ware DRX (Q-DRX) Scheme, for Long Term Evaluation (LTE) wireless networks that not only improves the Quality of Service (QoS) to satisfy the user's experience of multimedia services but also saves the UE's power by using the Discontinuous Reception (DRX). This paper investigates how the different durations of DRX Light and Deep Sleep cycles affect the QoS and influence the Quality of Experience (QoE) of end users, in the context of Voice over IP (VoIP) traffic delivery over the LTE wireless network. The performance of the Q-DRX scheme is evaluated with traditional scheduling schemes, in the perception of the following important parameters, System Throughput, Throughput Fairness Index, Packet Loss Rate and Packet Delay. Our proposed Q-DRX Scheme successfully minimized the packet's delay and packet's loss by considering the key parameters of QoS with fair resources distribution among the UEs to achieve a high satisfaction level.