Dynamic Resource Sharing in 5G with LSA: Criteria‐Based Management Framework

Sadreddini, Zhaleh; Mašek, Pavel; Çavdar, Tuğrul; Ometov, Aleksandr; Hošek, Jiří; Gudkova, Irina А.; Andreev, Sergey

doi:10.1155/2018/7302025

Cited by 19 publications

(14 citation statements)

References 28 publications

(38 reference statements)

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“…Masek et al [25] have enhanced the standard process of licensed Shared access in order to control the spectrum management system over the 5G network. A similar form of discussion has also been carried out by Sadreddini et al [26], where the mobile network operator concept has been used for performing the utilization of resources. Xu et al [27] have presented a mechanism of spectrum sensing where a time-varying channel has been used for the cognitive radio system.…”

Section: A the Backgroundmentioning

confidence: 89%

Novel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks

B P,

Sundaraguru*

2019

IJITEE

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The adoption of cognitive radio technology is characterized by various beneficial characteristics that can facilitate better spectrum sensing performance in a 5G network and thereby acting as a boosting element towards a high data transmission rate. However, it is also characterized by various challenges that limit the significant development in resource utilization in 5G. Therefore, this paper introduces a novel and simplified mechanism that facilitates the 5G network to perform better in data transmission and its associated quality of it. The proposed system also performs modeling using practical constraints associated with the usage of cognitive radio over 5G networks using a convex optimization approach. The model is simulated using practical environmental parameters to prove that the proposed system excels better performance in faster processing and quality signal in contrast to the existing resource allocation scheme exercised in 5G networks.

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Section: A the Backgroundmentioning

confidence: 89%

Novel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks

B P,

Sundaraguru*

2019

IJITEE

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“…Applying different importance degree for each criterion via 4 different scenarios, AHP can find which scenario is more appropriate based on the CR(µ) [25]. In each scenario, different degrees of importance of the criterion are considered based on its cost or benefit type [5].…”

Section: A Importance Degree Use Casesmentioning

confidence: 99%

A Novel Cancellation Protection Service in Online Reservation System

Sadreddini

2020

IEEE Access

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Web-based systems are frequently used by the customers as well as travel agencies for online flight reservation and booking. In general, customers prefer to plan their trips as early as possible to take advantage of affordable booking opportunities as the price of flight tickets increases over time. However, changing the flight plan may lead to high penalties for the customers which may turn their profits into a loss in promotion tickets. Motivated by this, in this research work, quality of experience (QoE)-based approach is proposed to support user satisfaction in the aforementioned scenario. A cancellation protection service (CPS) is developed to provide assurance for early booking while establishing a balance between user satisfaction and the profit of the service provider (SP). Furthermore, three different CPS functions, namely Fixed CPS, QoE-based CPS, and Flexible CPS are modeled. In our proposed QoE-based CPS method, Analytic Hierarchy Process (AHP) is adopted to assign appropriate weights to different criteria. The proposed CPS approach can enable the customers to have a refund under certain terms if they decide to cancel their tickets. The proposed method is analyzed with real-world data from an airline reservation system which shows the customer transactions in a 6 months-period. The results indicate the effects of the fixed CPS, flexible CPS, and QoE-based CPS methods in the SP's profit points of view. Last but not least, the proposed QoE-based CPS method provides a balance between both the SP profit and user satisfaction.

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“…The research conducted in [12] focused on maximum spectrum utilization and also energy efficiency, by considering some aspects of the CRSN. In [13], the authors provided a user satisfaction-aware approach for spectrum management, in order to achieve dynamic LSA management in 5G networks. The solution provided in this study aimed to balance both satisfaction of the connected user and the resource utilization in the context of the mobile network operator.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy genetic based dynamic spectrum allocation approach for cognitive radio sensor networks

Ganesan¹,

Raajini²,

Sagayam³

et al. 2020

Turk J Elec Eng & Comp Sci

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Cognitive radio sensor network (CRSN) is known as a distributed network of wireless cognitive radio sensor nodes. Such a system senses an event signal and ensures collaborative dynamic communication processes over the spectrum bands. Here the concept of dynamic spectrum access defines the method of reaching progressively to the unused range of spectrum band. As among the essential CRSN user types, the primary user (PU) has the license to access the spectrum band. On the other hand, the secondary user (SU) tries to access the unused spectrum efficiently, by not disturbing the PU. Considering that issue, this study introduces a fuzzy genetic based dynamic spectrum allocation (FGDSA) system for deciding spectrum allocation in cognitive radio sensor networks. In detail, the primary objective of the FGDSA system is to increase channel use without causing too much interference to the PU. In order to achieve that, some parameters such as signal interference noise ratio (SINR), bit error rate (BER), available channel bandwidth, SU transmission power, and the SU data rate are used as input variables for the fuzzy based inference mechanism taking place in the FGDSA. After development of the system, a performance analysis was done by comparing some metrics such as channel utilization, signal noise interference ratio, and the channel access delay for fuzzy based inference and the fuzzy genetic based inference that are both performing spectrum allocation. It was observed that the hybrid system of FGDSA outperforms fuzzy system by 2% in channel utilization, by also ensuring 16% less SINR, and 41% less channel access delay. The FGDSA was compared with also some existing spectrum allocation techniques such as edge coloring heuristic (ECH) and clique heuristic algorithm (CHA). It was seen that the FGDSA outperforms both ECH and CHA in average channel utilization, with the rates of 6% and 8%, respectively.

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Dynamic Resource Sharing in 5G with LSA: Criteria‐Based Management Framework

Cited by 19 publications

References 28 publications

Novel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks

Novel Analytical Framework for harnessing Cognitive Radio Resource Optimization in 5G Networks

A Novel Cancellation Protection Service in Online Reservation System

Fuzzy genetic based dynamic spectrum allocation approach for cognitive radio sensor networks

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