scholarly journals Transmission Control of Cross-Regional Heterogeneous Networks for Direct Position Determination

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Liang Zong ◽  
Han Wang ◽  
Liangpeng Lu ◽  
Yong Bai ◽  
Chenglin Zhao ◽  
...  
Keyword(s):  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Network Architecture ◽  
Control Algorithm ◽  
Heterogeneous Integration ◽  
Observation Data ◽  
Transmission Control ◽  
Position Determination ◽  
Network Transmission ◽  
Direct Location

In direct position determination (DPD), a large number of observation data need to be integrated and transmitted, which creates higher requirements for the transmission performance of the network. To alleviate the problem of performance degradation in a large number of data transmissions, this paper proposes a heterogeneous network architecture and transmission control algorithm for cross-regional heterogeneous networks. Through the heterogeneous integration of satellite and multihop networks, a transmission control model suitable for the long delay and high bit error rate environments is established, the congestion window of each stage of network transmission is analyzed, and the efficiency and accuracy of the algorithm are verified by experiments. The results show that a large amount of data can be transmitted in a heterogeneous network. When dealing with direct location, the algorithm can effectively transmit a large number of observation data for cross-regional heterogeneous networks. This simple and applicable transmission control algorithm can improve the satellite link throughput and reduce the download response time compared with the traditional transmission algorithm. These studies provide a reference for a large number of data transmissions in direct position determination.

scholarly journals MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Léo Pio-Lopez ◽  
Alberto Valdeolivas ◽  
Laurent Tichit ◽  
Élisabeth Remy ◽  
Anaïs Baudot
Keyword(s):  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Link Prediction ◽  
Network Embedding ◽  
Multiplex Networks ◽  
Multiplex Network ◽  
Gene Associations ◽  
Different Types ◽  
Embedding Methods ◽  
Node Embeddings

AbstractNetwork embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their effectiveness in tasks such as community detection, node classification, and link prediction. However, very few network embedding methods have been specifically designed to handle multiplex networks, i.e. networks composed of different layers sharing the same set of nodes but having different types of edges. Moreover, to our knowledge, existing approaches cannot embed multiple nodes from multiplex-heterogeneous networks, i.e. networks composed of several multiplex networks containing both different types of nodes and edges. In this study, we propose MultiVERSE, an extension of the VERSE framework using Random Walks with Restart on Multiplex (RWR-M) and Multiplex-Heterogeneous (RWR-MH) networks. MultiVERSE is a fast and scalable method to learn node embeddings from multiplex and multiplex-heterogeneous networks. We evaluate MultiVERSE on several biological and social networks and demonstrate its performance. MultiVERSE indeed outperforms most of the other methods in the tasks of link prediction and network reconstruction for multiplex network embedding, and is also efficient in link prediction for multiplex-heterogeneous network embedding. Finally, we apply MultiVERSE to study rare disease-gene associations using link prediction and clustering. MultiVERSE is freely available on github at https://github.com/Lpiol/MultiVERSE.

scholarly journals The Reversing Paging Process of Callee in Heterogeneous Networks

2011 ◽  
Vol 1 ◽  
pp. 3-8
Author(s):  
Cong Zhao ◽  
Wei Guo
Keyword(s):  
Heterogeneous Networks ◽  
Mobility Management ◽  
Heterogeneous Network ◽  
Vertical Handoff ◽  
The Past ◽  
The Future ◽  
Wireless Signal ◽  
Set Up

To achieve the goal that anybody could communicate with anyone at anytime in anyplace and in anyway, many technologies, such as GSM、CDMA、WCDMA、CDMA2000、TD-SCDMA、802.11a/b/g and so on, come true in the past years. And now, many B3G or 4G technologies are being studied. It is well-known that the future network would be heterogeneous networks. It is studied in this paper the mobility management of wireless heterogeneous network and a reversing paging process of callee is proposed which integrates paging and handoff. In the process when the caller pages the callee choosing its best suited network on one end, the callee chooses its own best network to begin a reversing paging process to set up the communication. The simulation tells that the proposed process has better performances in the call delay, the call succeeding rate and the wireless signal cost than that of the existing process in which it sets up the call first and then does vertical handoff independently.

scholarly journals A Multi-User Schedule Method for Non-Orthogonal Multiple Access in 5G Heterogeneous Network

2019 ◽  
Vol 37 (2) ◽  
pp. 337-343
Author(s):  
Yi Xie
Keyword(s):  
Heterogeneous Network ◽  
Network Architecture ◽  
Multiple Access ◽  
Average Rate ◽  
Small Cells ◽  
Fifth Generation ◽  
Scheduling Method ◽  
New Type ◽  
Multiuser Scheduling ◽  
Better Than

Heterogeneous network is supposed to be the dominant network architecture of the fifth generation (5G) cellular network, which means small cells are overlaid on the macrocell. The beamforming (BF) and cell expansion are two important approaches to serve users in small cells. Furthermore, non-orthogonal multiple access (NOMA) is a new type of multiple access multiplexing which improves system performance without taking up extra spectrum resources. Therefore, it becomes one promising technique in 5G. In this paper, NOMA is applied in a 5G heterogeneous network with biased small cells. The BF strategy and the multiuser scheduling method are proposed. The main user in NOMA is scheduled inside the original coverage of the small cell while the side user is chosen from the biased expansion area. The BF strategy that is executed depends on the channel of main user. The multiuser scheduling method is to maximize the rate performance. The proposed method can provide performance benefits. Simulation results show that the proposed methods can be well applied in heterogeneous networks. The achieved performance gain is approximately twice better than traditional OMA and has 10% improvement to the stochastic schedule method. In addition, the average rate of cell edge users is improved.

Quantifying QoS in Heterogeneous Networks

2017 ◽  
pp. 223-251
Author(s):  
Farnaz Farid ◽  
Seyed Shahrestani ◽  
Chun Ruan
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
The Other ◽  
Simulation Studies ◽  
Network Resources ◽  
Access Technology ◽  
Vast Number ◽  
Simulation Results ◽  
4G Wireless

The heterogeneous-based 4G wireless networks will offer noticeable advantages for both users and network operators. The users will benefit from the vibrant coverage and capacity. A vast number of available resources will allow them to connect seamlessly to the best available access technology. The network operators, on the other hand, will be benefited from the lower cost and the efficient usage of the network resources. However, managing QoS for video or voice applications over these networks is still a challenging task. In this chapter, a generalized metric-based approach is described for QoS quantification in Heterogeneous networks. To investigate the efficiency of the designed approach, a range of simulation studies based on different models of service over the heterogeneous networks are carried out. The simulation results indicate that the proposed approach facilitates better management and monitoring of heterogeneous network configurations and applications utilizing them.

Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

2021 ◽  
pp. 257-271
Author(s):  
Pushpa Singh ◽  
Rajeev Agrawal
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Research Work ◽  
Software Tool ◽  
Knn Classifier ◽  
User Expectations

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.

scholarly journals An Automatic Online Disaster Monitoring Network: Network Architecture and a Case Study Monitoring Slope Stability

2018 ◽  
Vol 14 (03) ◽  
pp. 4 ◽  
Author(s):  
Jianmin Wang ◽  
Xiaoqin Yang
Keyword(s):  
Network Architecture ◽  
Monitoring Network ◽  
Observation Data ◽  
Application Layer ◽  
Heterogeneous Wireless Sensor Networks ◽  
Development Direction ◽  
Disaster Monitoring ◽  
Study Monitoring

Geosensor networks(GSN) is an important development direction of the disaster monitoring in the future. An online automatic unattended disaster monitoring system can prevent and reduce the geology disaster to protect the safety of life and property. At present, most GSN are independent and usually service for respective community. The observations data of GSN are bigger and complex , and GSN is mostly heterogeneous wireless sensor networks. So this paper proposes a novel GSN disaster monitoring overall architecture, This architecture can seamlessly integrate sensors for long- term, remote, and near-real-time monitoring. In the architecture, there are four layers are used to collect, manage , transport and processing observation data. Among them, the data server layer applies the OGC SWE standards to integrate and share heterogeneous monitoring data. sensor metadata and observation data are packaged into a virtual sensor that are is transported from data center to application layer through Sensor Observation Service (SOS). To demonstrates the applicability of our proposed method, we use a case named PS-MDMs which are developed and deployed to support mine disaster monitoring and modeling research.

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