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network selection algorithm based on AHP and similarity

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The Journal of China Universities of Posts and Telecommunications 2018年第2期25卷 77-88,104页

作者： Li Wanghong Zhu Qi Jiangsu Key Lab of Wireless Communications Nanjing University of Posts and Telecommunications

In heterogeneous wireless networks, there are various kinds of service demands from the users. A network selection algorithm based onthe analytic hierarchy process （AHP） and Similarity is proposed to solve this problem. The services are divided into three classes： Conversational Class, Streaming Class and Interactive Class. According to the characteristics of each service, a different judgment matrix is assigned and then the AHP method is used to calculate the network attribute weights. Taking the dynamic changes in user demands and network environment into account, a formula based on Lance distance for computing the attributes similarity is derived to evaluate the degree of conformity between user requirements and network attributes, from which the similarity between the user requirements and network attributes is calculated and then the total similarity by weighting. The network with the largest total similarity is the best choice. Simulation results demonstrate the effectiveness of the proposed scheme in improving the quality of service （QoS） according to the user requirements under three kinds of services.

关键词： AHP attributes similarity service type network selection

network selection in cognitive radio enabled Wireless Body Area networks

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Digital Communications and networks 2020年第1期6卷 75-85页

作者： Monish Bhatia Krishan Kumar Electronics&Communication Engineering Department National Institute of TechnologyHamirpur177005India

In recent years,the great interest in Wireless Body Area networks(WBANs)has been aroused significantly due to the advancement in wireless *** wireless communication,all WBAN nodes that monitor the human body's vital functions transfer information to a central sink node,which is directly connected to a Cognitive Radio enabled Controller called *** transfer this information from a CRC to an e-health server,it requires long-range wireless networks,such as UMTS,LTE,WiMAX,WiFi,and satellite internet *** is challenging for a CRC to select the best networks for different WBAN data traffic,such as emergency mandatory,delay sensitive,and general *** paper proposes a scheme for selecting the best network from the available networks depending on the Quality of Service(QoS)requirements for different WBAN *** multiple attribute decision-making algorithms are used in the proposed *** results and discussion reveal that the proposed scheme is effective in making a good network selection in situations where there is a conflict among different QoS requirements for different WBAN applications.

关键词： WBAN Cognitive radio network selection Entropy method MADM methods Fuzzy AHP

MDP-Based network selection with Reward Optimization in HetNets

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Chinese Journal of Electronics 2018年第1期27卷 183-190页

作者： CHEN Xin LI Zhuo WANG Kai XING Lei School of Computer Science Beijing Information Science and Technology University Beijing Key Laboratory of Internet Culture and Digital Dissemination Research Beijing Information Science and Technology University

We investigate the network selection problem over heterogeneous networks. We formulate the decision making problem as a Markov decision process(MDP).Two Poisson processes are introduced to model user arrival and departure, and the change of the number of user in a specific network is described by Skellam *** apply the Total order preference by similarity to the ideal solution(TOPSIS) method to address the issue of state space explosion in MDP model. To acquire the optimal network selection scheme, the value iteration algorithm is employed to solve the MDP model. We take simulations in Matlab to prove the effectiveness of the proposed scheme. From the experiment results, it is found that our proposed scheme can reduce handover probability by 7.5%and 40.4% at the early stage of connection, compared with the Infinite MDP-based(IMDP) strategy and TOPSISonly strategy. It can also reduce blocking probability by6.1% compared with IMDP, while maintaining desirable throughput for the target user.

关键词： Heterogeneous networks network selection Markov decision process(MDP) Multiple attributes decision making

Satellite Integration into 5G:Deep Reinforcement Learning for network selection

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Machine Intelligence Research 2022年第2期19卷 127-137页

作者： Emanuele De Santis Alessandro Giuseppi Antonio Pietrabissa Michael Capponi Francesco Delli Priscoli Department of Computer Control and Management Engineering“Antonio Ruberti”University of Rome La SapienzaRome 00185Italy

This paper proposes a deep-Q-network(DQN) controller for network selection and adaptive resource allocation in heterogeneous networks, developed on the ground of a Markov decision process(MDP) model of the problem. network selection is an enabling technology for multi-connectivity, one of the core functionalities of 5G. For this reason, the present work considers a realistic network model that takes into account path-loss models and intra-RAT(radio access technology) interference. Numerical simulations validate the proposed approach and show the improvements achieved in terms of connection acceptance, resource allocation, and load *** particular, the DQN algorithm has been tested against classic reinforcement learning one and other baseline approaches.

关键词： network selection HetNet deep reinforcement learning deep-Q-network(DQN) 5G communications

Hybrid Satellite-UAV-Terrestrial Maritime networks:network selection for Users on A Vessel Optimized with Transmit Power and UAV Position

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China Communications 2022年第9期19卷 37-46页

作者： Xiangling Li Wenjing Shi School of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

The hybrid satellite-UAV-terrestrial maritime networks have shown great promise for broadband coverage at *** existing works focused on vessels collaboratively served by UAV-enabled aerial base station(ABSs)and terrestrial base stations(TBSs)deployed along the coast,and proved that data rate could be improved by optimizing transmit power and ABS’s *** practice,users on a vessel can be collaboratively served by an ABS and a vesselenabled base station(VBS)in different *** this case,how to select the network for users on a vessel is still an open *** this paper,a TBS and a satellite respectively provide wireless backhaul for the ABS and the *** network selection is jointly optimized with transmit power of ABS and VBS,and ABS’s position for improving data rate of all *** solve it by finding candidates for network selection and iteratively solving transmit power and ABS’s position for each *** results demonstrate that data rate can be improved by collaborative coverage for users on a vessel.

关键词： maritime communications satellite-UAV-terrestrial network network selection power allocation

A dynamic programming algorithm for network selection in 3G/WLAN

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High Technology Letters 2013年第4期19卷 364-370页

作者：陈佳美 Xu Yubin Ma Lin Deng Zhian Communication Research Center Harbin Institute of Technology

An essential characteristic of the 4th Generation(4G) wireless networks is integrating various heterogeneous wireless access *** paper considers the network selection for both admission and handoff strategy problems in heterogeneous network of 3G/WLAN.A novel dynamic programming algorithm is proposed by taking heterogeneous network characteristics,user mobility and different service types into *** specificity of our approach is that it puts the situations in a new model and makes decisions in stages of different *** results validate that the proposed scheme can obtain better new call blocking and handoff dropping probability performance than traditional schemes while ensuring quality-of-services(QoS) for both real-time and data connections.

关键词： dynamic programming heterogeneous networks network selection handoff admission control

A Throughput-Aware Joint Vehicle Route and Access network selection Approach Based on SMDP

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China Communications 2020年第5期17卷 243-265页

作者： Jiandong Xie Sa Xiao Ying-Chang Liang Li Wang Jun Fang National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of ChinaChengdu 116024China Center for Intelligent networking and Communications(CINC) University of Electronic Science and Technology of China(UESTC)Chengdu 611731China Research and Development Center Huawei TechnologiesStockholm 16494Sweden

In intelligent transportation system(ITS), the interworking of vehicular networks(VN) and cellular networks(CN) is proposed to provide high-data-rate services to vehicles. As the network access quality for CN and VN is location related, mobile data offloading(MDO), which dynamically selects access networks for vehicles, should be considered with vehicle route planning to further improve the wireless data throughput of individual vehicles and to enhance the performance of the entire ITS. In this paper, we investigate joint MDO and route selection for an individual vehicle in a metropolitan scenario. We aim to improve the throughput of the target vehicle while guaranteeing its transportation efficiency requirements in terms of traveling time and distance. To achieve this objective, we first formulate the joint route and access network selection problem as a semi-Markov decision process(SMDP). Then we propose an optimal algorithm to calculate its optimal policy. To further reduce the computation complexity, we derive a suboptimal algorithm which reduces the action space. Simulation results demonstrate that the proposed optimal algorithm significantly outperforms the existing work in total throughput and the late arrival ***, the heuristic algorithm is able to substantially reduce the computation time with only slight performance degradation.

关键词： mobile data offloading network selection route selection semi-Markov decision process vehicular network

Multiplicative multi-attribute auction based optimal network selection for heterogeneous wireless networks

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The Journal of China Universities of Posts and Telecommunications 2012年第4期19卷 1-5页

作者： ZHAI Lan-jie JI Hong LI Xi ZHANG Xiao-liang School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

One of the remarkable features of the next generation network is the integration of heterogeneous wireless networks, which enables mobile users with multi-mode terminals access to the best available network seamlessly. However, most of previous work only takes account of either maximizing single user＇s utility or the whole network＇s payoff, rarely considers the negotiation between them. In this paper, we propose a novel network selection approach using improved multiplicative multi-attribute auction （MMA）. At first, an improved MMA method is put forward to define the user＇s utility. Additionally, user cost is defined by considering allocated bandwidth, network load intensity and cost factor parameter. And last the best suitable network is selected according to the user＇s performance-cost-ration. Simulation results confirm that the proposed scheme outperforms the existing scheme in terms of network selection＇s fairness, user＇s performance-cost-ration, load balancing and the number of accommodated users.

关键词： multiplicative multi-attribute auction network selection user's performance-cost-ration network load intensity

A network selection Scheme Based on TOPSIS in Heterogeneous network Environment

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Journal of Harbin Institute of Technology(New Series) 2014年第1期21卷 43-48页

作者： Long Xu Yi Li School of Telecommunication Engineering Beijing University of Posts and Telecommunications

This paper deals with network selection problem for users in heterogeneous network environment. The main context is to improve the TOPSIS( Technique for Order Preference by Similarity to Ideal Solution) network scheme by combining the network properties and the users' requirement accurately and decrease ping-pong effect. The method of entropy and FAHP( Fuzzy Analytic Hierarchy Process) are used to calculate weight value and the sojourn time calculation is used to avoid ping-pang effect. The simulation results show that the improved scheme enhances the more accuracy of network selection than the existing methods and reduces the number of ping-pang effect.

关键词： network selection sojourn time FAHP entropy TOPSIS