At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the kn...At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the knowledge of how individual phone features consume power. A typical phone feature is that the applications related to multimedia streaming utilize more power while receiving, processing, and displaying the multimedia contents, thus contributing to the increased power consumption. There is a growing concern that current battery modules have limited capability in fulfilling the long-term energy need for the progress on the mobile phone because of increasing power consumption during multimedia streaming processes. Considering this, in this paper, we provide an offline meaning sleep-mode method to compute the minimum power consumption comparing with the power-on solution to save power by implementing energy rate adaptation(RA) mechanism based on mobile excess energy level purpose to save battery power use. Our simulation results show that our RA method preserves efficient power while achieving better throughput compared with the mechanism without rate adaptation(WRA).展开更多
1.Introduction From the first-generation(1G)through the second-generation(2G)Global System for Mobile Communications(GSM),the third-generation(3G)wideband code division multiple access(WCDMA)to the fourth-generation(4...1.Introduction From the first-generation(1G)through the second-generation(2G)Global System for Mobile Communications(GSM),the third-generation(3G)wideband code division multiple access(WCDMA)to the fourth-generation(4G)long-term evolution(LTE)wireless networks,terrestrial networks(TNs)have demonstrated significant success in increasing communication speeds and improving quality of service(QoS)for users.展开更多
The demand for 5G services and applications is driving the change of network architecture.The mobile edge computing(MEC)technology combines the mobile network technology with cloud computing and virtualization,and is ...The demand for 5G services and applications is driving the change of network architecture.The mobile edge computing(MEC)technology combines the mobile network technology with cloud computing and virtualization,and is one of the key technologies for 5G networks.Compared to network function virtualization(NFV),another critical enabler of 5G networks,MEC reduces latency and enhances the offered capacity.In this paper,we discuss the combination of the two technologies and propose a new architecture.Moreover,we list the application scenarios using the proposed architecture.展开更多
Long Term Evolution (LTE) is designed to revolutionize mobile broadband technology with key considerations of higher data rate, improved power efficiency, low latency and better quality of service. This work analyzes ...Long Term Evolution (LTE) is designed to revolutionize mobile broadband technology with key considerations of higher data rate, improved power efficiency, low latency and better quality of service. This work analyzes the impact of resource scheduling algorithms on the performance of LTE (4G) and WCDMA (3G) networks. In this paper, a full illustration of LTE system is given together with different scheduling algorithms. Thereafter, 3G WCDMA and 4G LTE networks were simulated using Simulink simulator embedded in MATLAB and performance evaluations were carried out. The performance metrics used for the evaluations are average system throughput, packet delay, latency and allocation of fairness using Round Robin, Best CQI and Proportional fair Packet Scheduling Algorithms. The results of the evaluations on both networks were analysed. The results showed that 4G LTE network performs better than 3G WCDMA network in all the three scheduling algorithms used.展开更多
基金supported by X-Project funded by the Ministry of Science,ICT&Future Planning under Grant No.NRF-2015R1A2A1A16074929
文摘At present, the major drawback for mobile phones is the issue of power consumption. As one of the alternatives to decrease the power consumption of standard, power-hungry location-based services usually require the knowledge of how individual phone features consume power. A typical phone feature is that the applications related to multimedia streaming utilize more power while receiving, processing, and displaying the multimedia contents, thus contributing to the increased power consumption. There is a growing concern that current battery modules have limited capability in fulfilling the long-term energy need for the progress on the mobile phone because of increasing power consumption during multimedia streaming processes. Considering this, in this paper, we provide an offline meaning sleep-mode method to compute the minimum power consumption comparing with the power-on solution to save power by implementing energy rate adaptation(RA) mechanism based on mobile excess energy level purpose to save battery power use. Our simulation results show that our RA method preserves efficient power while achieving better throughput compared with the mechanism without rate adaptation(WRA).
基金support from the Development Program from Institute for Communication Systems(ICS),the 5G&6G Innovation Centre(5GIC&6GIC)at University of Surreythe China Scholarship Council,the National Natural Science Foundation of China(62371158)the Major Key Project of Pengcheng Laboratory(PCL2024A01).
文摘1.Introduction From the first-generation(1G)through the second-generation(2G)Global System for Mobile Communications(GSM),the third-generation(3G)wideband code division multiple access(WCDMA)to the fourth-generation(4G)long-term evolution(LTE)wireless networks,terrestrial networks(TNs)have demonstrated significant success in increasing communication speeds and improving quality of service(QoS)for users.
文摘The demand for 5G services and applications is driving the change of network architecture.The mobile edge computing(MEC)technology combines the mobile network technology with cloud computing and virtualization,and is one of the key technologies for 5G networks.Compared to network function virtualization(NFV),another critical enabler of 5G networks,MEC reduces latency and enhances the offered capacity.In this paper,we discuss the combination of the two technologies and propose a new architecture.Moreover,we list the application scenarios using the proposed architecture.
文摘Long Term Evolution (LTE) is designed to revolutionize mobile broadband technology with key considerations of higher data rate, improved power efficiency, low latency and better quality of service. This work analyzes the impact of resource scheduling algorithms on the performance of LTE (4G) and WCDMA (3G) networks. In this paper, a full illustration of LTE system is given together with different scheduling algorithms. Thereafter, 3G WCDMA and 4G LTE networks were simulated using Simulink simulator embedded in MATLAB and performance evaluations were carried out. The performance metrics used for the evaluations are average system throughput, packet delay, latency and allocation of fairness using Round Robin, Best CQI and Proportional fair Packet Scheduling Algorithms. The results of the evaluations on both networks were analysed. The results showed that 4G LTE network performs better than 3G WCDMA network in all the three scheduling algorithms used.
