Intelligent network selection for data offloading in 5G multi-radio heterogeneous networks

Wu, Jihong; Liu, Jing; Huang, Zhangpeng; Chen, Du; Zhao, Hui; Bai, Yuqiang

doi:10.1109/cc.2015.7386161

Cited by 17 publications

(7 citation statements)

References 8 publications

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“…So far, the amount of data to be offloaded and shared is focused and determined, however, there is no solution provided to elect an efficient AP. This problem was addressed in [28][29][30] with the help of Access Network Discovery and Selection Function (ANDSF) module located in Evolved Packet Core (EPC). ANDSF server is made responsible for to suggest efficient non-3GPP access network by considering parameters like Signal to Interference Noise Ratio (SINR), channel gain, cell load etc.…”

Section: Literature Reviewmentioning

confidence: 99%

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

Anbalagan

Kumar

et al. 2020

Future Generation Computer Systems

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Section: Literature Reviewmentioning

confidence: 99%

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

Anbalagan

Kumar

et al. 2020

Future Generation Computer Systems

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“…This scheme is efficient, because of centralized information processing of APs, RRHs and UEs at the centralized unit, that is, BBU pool. Moreover, Jin et al in [34] presented a user equipment preference-aware network selection algorithm for data offloading. It takes offloading decisions based on criteria; application type i.e.…”

Section: Related Workmentioning

confidence: 99%

Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Gachhadar¹,

Qamar²,

Dong³

et al. 2019

JESTR

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The exponential growth of mobile data traffic and a limited number of spectrum resources has been a big challenge for cellular network providers, henceforth traffic offloading has become one of the most critical issues especially in 5G Heterogeneous Networks (HetNets). Further, network selection plays a vital role for traffic offloading in a cellular network to maintain Quality of Service (QoS), increasing offloading efficiency and throughput. In order to efficiently utilize spectral resources, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm is proposed to be used for ranking a candidate network. The proposed algorithm helps in alleviating the spectrum shortage by offloading the data traffic over Wi-Fi network using unlicensed spectrum. In this work, analysis of the performance of the proposed system model through simulation of an analytical framework has been made. The results have been accumulated in terms of cumulative handover, throughput, the extent of equilibrium & offloading efficiency with respect to residence time and the number of Wi-Fi Access Points (AP's). Analysis proves that the proposed algorithm improves the equilibrium extent and throughput as compared to traditional Load balancing (LB) and SDN based LB mechanisms. It also shows that offloading efficiency is highly improved over Wi-Fi density and residence time.

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“…Tamijetchelvy and Sivaradje 16 have proposed a study to analyze HO overhead 17 based on different mobility protocols by following IEEE 802.21 MIH standard. Whu et al 19 have proposed a mechanism to select network for data off-loading while considering 5G multiradio 20 heterogeneous networks. 18 Data off-loading is a mechanism to enhance battery lifetime of a mobile device.…”

Section: Related Workmentioning

confidence: 99%

“…18 Data off-loading is a mechanism to enhance battery lifetime of a mobile device. Whu et al 19 have proposed a mechanism to select network for data off-loading while considering 5G multiradio 20 heterogeneous networks. Niyato and Hossain 21 have investigated network selection process based on game theory concept using population evolution and reinforcement-learning algorithms.…”

Section: Related Workmentioning

confidence: 99%

Network selection in heterogeneous access networks simultaneously satisfying user profile and QoS

Ali

Ahmad

Maqsood

et al. 2018

Int J Communication

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Multimode capability empowers mobile devices to select the appropriate network to meet the requirements of user and applications. However, network selection is a challenging task owing to heterogeneous nature of network access links. At the same time, pervasiveness of mobile communication networks accompanied by the advances in wireless devices has raised the user expectations of persistent service and quality. Therefore, it is important for a mobile device to take situation-based and timely decisions while selecting an access network to ensure both user's and operator's demand. The existing standard, called IEEE 802.21 (media-independent handover), considers mobile device signal-strength parameter for network selection from a list of networks. This research has proposed a ranking algorithm to rank heterogeneous networks based on a set of parameters including user profile and QoS. It selects most suitable network owing to multiple handover scenarios. The simulation results have shown that the proposed scheme has successfully satisfied apparently the contradictory requirements related to user profiles and QoS simultaneously.Nowadays, because of the technological advancements, the mobile devices are multitasks and can performs high computational tasks to enrich user experience. With such a device in hand, the user's demand of guaranteed high-quality Int J Commun Syst. 2018;31:e3730.wileyonlinelibrary.com/journal/dac

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Intelligent network selection for data offloading in 5G multi-radio heterogeneous networks

Cited by 17 publications

References 8 publications

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

Traffic Offloading in 5G Heterogeneous Networks using Rank based Network Selection

Network selection in heterogeneous access networks simultaneously satisfying user profile and QoS

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