Browsing by Author "Yang, Shun-Neng"

Now showing 1 - 8 of 8

A Multi-link Mechanism for Heterogeneous Radio Networks
(2014-06-01)
Yang, Shun-Neng
;
Lin, Yung-Chun
;
Gan, Chai-Hien
;
Lin, Yi-Bing
;
Wu, Chien-Ting
Nowadays, smart mobile devices drive the mobile traffic growth rapidly. Most smart mobile devices are equipped with multiple radio network interfaces, such as High Speed Packet Access (HSPA), Long Term Evolution (LTE), and Wi-Fi. Therefore, integration of multiple networks is a viable solution to fulfill traffic offloading and the Quality-of-Service (QoS) requirement of data usage for mobile users. In this paper, we propose a multi-link mechanism to handle the radio network selection and switching between LTE and Wi-Fi networks. A Multi-Link Adaptor (MLA) and a Multi-Connection Manager (MCM) are proposed for the User Equipment (UE) and the core network, respectively, to handle the multi-link mechanism. The applications executed in the UEs do not need to be modified under the proposed approach. The MLA maintains a QoS class table and a routing table for the network selection procedure and uses the GPRS Tunneling Protocol-Control plane (GTP-C) control messages to execute network switching. In the future, we will measure the throughput of the multi-link network and the switch delay between the heterogeneous radio networks.
A multi-RAT bandwidth aggregation mechanism with software-defined networking
(2016-02)
Yang, Shun-Neng
;
Ho, Shu-Wei
;
Lin, Yi-Bing
;
Gan, Chai-Hien
;
資訊工程學系
The population of smart mobile devices drives the mobile traffic growth rapidly. To deal with the traffic explosion, heterogeneous radio network integration is considered as a cost-effective solution for mobile operators to reduce network congestion. With the coverage overlapping of various wireless networks (e.g., LTE and Wi-Fi), we can use multiple networks to transfer different services simultaneously. In this paper, we integrate the multiple radio access technology (multi-RAT) with software-defined networking (SDN) to make the multi-RAT network more programmable, dynamically manageable and adaptable. The analytic model and performance evaluation show that our mechanism can significantly reduce the response times when the multi-RAT network traffic is unbalanced, where the throughput degradation of adapting our mechanism is 4.15% on average. (C) 2015 Elsevier Ltd. All rights reserved.
A Seamless Multi-Link Switch Solution for LTE and Wi-Fi Integrated Networks
(2013)
Gan, Chai-Hien
;
Lin, Yung-Chun
;
Yang, Shun-Neng
;
Lin, Yi-Bing
;
資訊工程學系
Today, smart mobile devices drive the mobile traffic growth rapidly. The Integration of multiple radio access technologies is a viable solution for mobile operators to fulfill users\' data usage. In this paper, we consider the interwork issue for the LTE and Wi-Fi integration network. Based on the GPRS Tunneling Protocol (GTP), a multi-link switch approach is proposed to solve the seamless handover and cooperating issues between LTE and Wi-Fi networks. The performance results show that the average switch delay is slight, which is efficient to support most of real-time application services, such as VOIP service and interactive games.
Charge scheduling of electric vehicles in highways
(2013-06-01)
Yang, Shun-Neng
;
Cheng, Wei-Sheng
;
Hsu, Yu-Ching
;
Gan, Chai-Hien
;
Lin, Yi-Bing
Today, charging stations (CSs) for electric vehicles (EVs) are much less popular than gas stations. Therefore, searching and selecting CSs is an important issue for the drivers of EVs. This paper investigates the EV charging problem. We propose two types of CS-selection algorithms. The first type only utilizes local information of an EV. The second type utilizes the global information obtained through interactions between the EVs and a Global CS-selection (GCS) server through the mobile telecommunications network. Our study indicates that by using the global information (specifically the workload status of each CS), the EVs can be effectively charged with short waiting times at the CSs. (C) 2011 Elsevier Ltd. All rights reserved.
Charge Scheduling of Electric Vehicles in Highways through Mobile Computing
(2011)
Yang, Shun-Neng
;
Cheng, Wei-Sheng
;
Hsu, Yu-Ching
;
Gan, Chai-Hien
;
Lin, Yi-Bing
Today, charging stations (CSs) for electric vehicles (EVs) are much less popular than gas stations. Therefore, searching and selecting CSs is an important issue for the drivers of EVs. This paper investigates the EV charging problem. We propose two types of CS-selection algorithms. The first type only utilizes local information of an EV. The second type utilizes the global information obtained from mobile computing. Specifically, the EVs interact with a Global CS-selection (GCS) server through the mobile telecommunications network. Our study indicates that by using the global information (specifically the workload status of each CS), the EVs can be effectively charged with short waiting times at the CSs.
Improving Handover and Drop-off Performance on High-Speed Trains With Multi-RAT
(2014-12-01)
Lin, Yi-Bing
;
Yang, Shun-Neng
;
Wu, Chien-Ting
;
資訊學院
;
資訊工程學系
Provisioning commercial mobile telecommunications service on a high-speed train (HST) faces several challenges. In particular, when an HST quickly passes through the radio coverage of the base stations, frequent handovers may result in serious communication interruption. Methods such as the hierarchical two-hop network and the seamless dual-link handover scheme were proposed to address these challenges. This paper proposes the multiple radio access technology (multi-RAT) to resolve the HST handover issue, which allows the HST to simultaneously connect to two or more heterogeneous mobile networks (e.g., the Universal Mobile Telecommunications System and Long Term Evolution). With this approach, the handover process can be improved by keeping multiple heterogeneous network links of the HST at the same time and maintaining the connection through one link during the handover process of the other link. We show that multi-RAT can effectively enhance HST communications by reducing the impact of handover failure. This approach can work together with other solutions such as the dual-link scheme to further enhance the performance of the HST communications.
Mobile charging information management for smart grid networks
(2013-04-01)
Yang, Shun-Neng
;
Wang, Hsiao-Wei
;
Gan, Chai-Hien
;
Lin, Yi-Bing
;
資訊工程學系
With today's electric charging technology, charging time of an electric vehicle (EV) is much longer than that for a gasoline vehicle, and therefore the queueing effect at an EV charging station (CS) may be serious. That is, when an EV arrives at an overloaded CS, it is likely that the EV will wait for a long time before it is charged. This paper investigates the waiting problem for EV charging. We propose a Mobile CS (MCS) management system to dynamically distribute charging pole support that reduces the waiting times of EVs incurred in a fixed CS. A Mobile Charging Information Management System (MC-IMS) is presented to describe the execution flow of the MCS service. Simulation experiments are conducted to investigate the waiting time performance for the proposed mechanism. Our study indicates that the MCS-based MC-IMS provides effective EV charging with short waiting times. (C) 2012 Elsevier Ltd. All rights reserved.
Mobility management through access network discovery and selection function for load balancing and power saving in software-defined networking environment
(2016-09-02)
Yang, Shun-Neng
;
Ke, Cheng-Hsu
;
Lin, Yi-Bing
;
Gan, Chai-Hien
;
資訊工程學系
The mobile traffic has grown rapidly with the popularity of smart mobile devices. To accommodate increasing traffic, heterogeneous network integration is considered as a viable solution. By overlapping the coverage of heterogeneous networks (e.g., the long-term evolution (LTE) and Wi-Fi integrated network), the mobile operators can use the offloading service (e.g., Wi-Fi offloading) to reduce network congestion. In this approach, a proper network coordination mechanism is required for load balancing of the LTE and Wi-Fi integrated network. In this paper, we use access network discovery and selection function (ANDSF) to suggest selection of proper base stations (e.g., LTE evolved Node Bs or Wi-Fi access points) to user equipment (UE) for load balancing. We integrate the ANDSF with software-defined networking (SDN) to make the ANDSF-aided network more programmable, flexible, and dynamically manageable. Moreover, we propose a power-saving ANDSF (PSA) algorithm to appropriately assign network resource to UEs and reduce the power consumption of Wi-Fi access points (APs). We have implemented the SDN-based PSA and measured the delay times. We also conduct simulation experiments to show that the successful probability of UEs\' resource requests to PSA is almost the same as the proposed schemes of the previous studies when the network traffic is unbalanced. Our study indicates that for unbalanced traffic, PSA can reduce 15.63 % more power consumption of Wi-Fi AP than the previous approaches.