Context-Aware Radio Access Technology Selection in 5G Ultra Dense Networks

Habbal, Adib; Goudar, Swetha Indudhar; Hassan, Suhaidi

doi:10.1109/access.2017.2689725

Cited by 61 publications

(46 citation statements)

References 27 publications

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“…The selection of decision-making indexes in the index evaluation system is vital to network access selection based on comprehensive performance evaluation. A total of 3-10 decision-making indexes must be selected [6]. Load, coverage area, delay, jitter, packet loss rate, safety, and cost are the major factors that influence network performance.…”

Section: System Model and Index Evaluationmentioning

confidence: 99%

“…It is also inapplicable to multilayer index systems. [6,11] Analytic network AHP It possesses the advantages of AHP and considers the relationship of indexes but requires computer processing data and is inapplicable to multilayer index systems. [11,13,15] Structure entropy weight method The structure entropy weight method can not only relieve the influences of subjective preference on weight distribution but also protect the objectivity of weights and is easily calculated.…”

Section: Referencesmentioning

confidence: 99%

“…Thus, misjudgments can be made easily. Hence, the concept of context perception and the theory of multiattribute decision-making (MADM) were combined for ensuring high service quality to users [6]. At the same time, the weights of indexes at different levels are obtained through TOPSIS, and the best network is determined.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Network Access Selection Algorithm Based on Balanced Profits between Users and Network

Chen

Juanping

Yuan

et al. 2019

Wireless Communications and Mobile Computing

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A network access selection algorithm based on the intuitionistic fuzzy analytic hierarchy process (AHP) and bilateral profit drive is proposed in this study for addressing problems regarding user–network bilateral profits. User preference, business demands, and network parameter changes are comprehensively considered in the algorithm. First, the initial weights centered at users are gained by intuitionistic fuzzy AHP. Second, the network participates in network access selection as a subject with competitive consciousness, and the entire selection process is transformed into a multiobjective optimization problem by the construction of a competitive model, thereby obtaining dynamic competitive weights. Third, the initial weights centered at users and the dynamic competitive weights are combined to obtain comprehensive weights. In this way, the dynamic adjustment of comprehensive weights is realized. Finally, candidate networks are ordered according to a comprehensive performance evaluation, and the optimal one is selected. The proposed algorithm is validated by simulation results to be valid in reducing the blocking rate of networks and optimizing network resource allocation. Therefore, it not only protects user–network bilateral profits but also maximizes comprehensive profits.

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Section: System Model and Index Evaluationmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%

See 1 more Smart Citation

Network Access Selection Algorithm Based on Balanced Profits between Users and Network

Chen

Juanping

Yuan

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

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“…The TOPSIS approach was first developed by Hwang and Yoon [17] and is widely used for target BS selection, as reported in [18]- [22]. References [18] and [19] proposed a MADM based handover scheme to eliminate unnecessary handover in LTE-Advance and UDN. The proposed scheme first applies a subjective weighting approach -analytical hierarchy process mechanism to prioritise the criteria for obtaining the weight.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy-clustering based approach for MADM handover in 5G ultra-dense networks

et al. 2019

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As the global data traffic has significantly increased in the recent year, the ultra-dense deployment of cellular networks (UDN) is being proposed as one of the key technologies in the fifthgeneration mobile communications system (5G) to provide a much higher density of radio resource. The densification of small base stations (BSs) could introduce much higher inter-cell interference and lead user to meet the edge of coverage more frequently. As the current handover scheme was originally proposed for macro BS, it could cause serious handover issues in UDN i.e. ping-pong handover, handover failures and frequent handover. In order to address these handover challenges and provide a high quality of service (QoS) to the user in UDN. This paper proposed a novel handover scheme, which integrates both advantages of fuzzy logic and multiple attributes decision algorithms (MADM) to ensure handover process be triggered at the right time and connection be switched to the optimal neighbouring BS. To further enhance the performance of the proposed scheme, this paper also adopts the subtractive clustering technique by using historical data to define the optimal membership functions within the fuzzy system.Performance results show that the proposed handover scheme outperforms traditional approaches and can significantly minimise the number of handovers and the ping-pong handover while maintaining QoS at a relatively high level.

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“…(2013) propose a handover decision algorithm based on AHP for WLAN/ cellular networks, which models the network handover decision problem as a fuzzy multiattribute hierarchical decision problem. Habbal, A., et al (2017) combine the concept of context awareness with AHP to determine the index weights. This algorithm can effectively reduce the number of handover.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous Network Access Network Selection Algorithm Based on Analytic Hierarchy Process and Improved Variable Weight

et al. 2018

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Abstract. Aiming at the problem that the weights of constant weights cannot be changed once they are determined, this paper proposes a network access selection algorithm based on analytic hierarchy process and improved variable weight. The algorithm calculates the weights of indexes based on the analytic hierarchy process, and then introduces the improved punishment variable weight theory. According to user and traffic preferences, the indexes are prioritized. When indexes are flawed, different levels of indexes are subject to different levels of punishment. The algorithm can change the constant weight based on actual parameter values and user preferences, which makes the final decision-making result more scientific and reasonable.

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Context-Aware Radio Access Technology Selection in 5G Ultra Dense Networks

Cited by 61 publications

References 27 publications

Network Access Selection Algorithm Based on Balanced Profits between Users and Network

Network Access Selection Algorithm Based on Balanced Profits between Users and Network

A fuzzy-clustering based approach for MADM handover in 5G ultra-dense networks

Heterogeneous Network Access Network Selection Algorithm Based on Analytic Hierarchy Process and Improved Variable Weight

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