Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks

Hasan, Najam Ul; Ejaz, Waleed; Ejaz, Naveed; Kim, Hyung Seok; Anpalagan, Alagan; Jo, Minho

doi:10.1109/access.2016.2533394

Cited by 90 publications

(58 citation statements)

References 34 publications

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“…The study outcome was assessed using interference and transmitted bits mainly. Study towards 5G network was also studied by Hasan et al [14] with respect to channel allocation viewpoint. The technique discussed in the paper presents a unique optimization theory for addressing the interference problems using swarm intelligence concept.…”

Section: Related Workmentioning

confidence: 99%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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Abstract-The existing telecommunication standard hypothetically cater up the user's demands at the cost of short delay, power drainage, not so standard throughput. We reviewed the existing literatures of bit loading and power allocation to find more inclination towards 3G and 4G-based enabling technologies (OFDM-Orthogonal Frequency Division Multiplexing) and less towards 5G-based enabling technologies (e.g. FBMC-Filter Bank Multiple Carrier) almost no work is done towards 5G network. Hence, we present a framework of bit loading and power allocation that uses FBMC, incorporates a new encoding, and introduced a novel modulation technique over a stream of signal to find it more optimally supporting the demands of 5G networks. The study outcome was found to possess lower error rate, higher data delivery performance, lower power usage, and faster processing time in comparison to existing legacy standards.

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Section: Related Workmentioning

confidence: 99%

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Reddy¹,

Padmaja²

2017

IJET

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“…With respect to spectrum management, several concepts have been developed and deployed over the years [10,11]. Accordingly, the benefits of spectrum sharing are twofold.…”

Section: Background On Spectrum Scarcity and Sharingmentioning

confidence: 99%

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

Sadreddini

Mašek

Çavdar

et al. 2018

Wireless Communications and Mobile Computing

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Owing to a steadily increasing demand for efficient spectrum utilization as part of the fifth-generation (5G) cellular concept, it becomes crucial to revise the existing radio spectrum management techniques and provide more flexible solutions for the corresponding challenges. A new wave of spectrum policy reforms can thus be envisaged by producing a paradigm shift from static to dynamic orchestration of shared resources. The emerging Licensed Shared Access (LSA) regulatory framework enables flexible spectrum sharing between a limited number of users that access the same frequency bands, while guaranteeing better interference mitigation. In this work, an advanced user satisfaction-aware spectrum management strategy for dynamic LSA management in 5G networks is proposed to balance both the connected user satisfaction and the Mobile Network Operator (MNO) resource utilization. The approach is based on the MNO decision policy that combines both pricing and rejection rules in the implemented processes. Our study offers a classification built over several types of users, different corresponding attributes, and a number of MNO's decision scenarios. Our investigations are built on Criteria-Based Resource Management (CBRM) framework, which has been specifically designed to facilitate dynamic LSA management in 5G mobile networks. To verify the proposed model, the results (spectrum utilization, estimated Secondary User price for the future connection, and user selection methodology in case of user rejection process) are validated numerically as we yield important conclusions on the applicability of our approach, which may offer valuable guidelines for efficient radio spectrum management in highly dynamic and heterogeneous 5G environments.

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“…A differential evolution based channel assignment algorithm is designed for CRNs in [14]. In [15], GA and PSO are investigated to optimize price and interference in CRHN. The authors in [15] suggested that the GA can find optimal solution in comparison with PSO algorithm under the constraints on interference, data rate, and price.…”

Section: Introductionmentioning

confidence: 99%

“…In [15], GA and PSO are investigated to optimize price and interference in CRHN. The authors in [15] suggested that the GA can find optimal solution in comparison with PSO algorithm under the constraints on interference, data rate, and price. However, SUs accumulative data rates optimization and impact of varying densities of SUs on QoS are not well explored.…”

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants

Latif

Akraam

Saleem

2017

Wireless Communications and Mobile Computing

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The advent of emerging wireless technologies has increased the demand of spectrum resources. On the other hand, present spectrum assignment is fixed and underutilized. Cognitive radio (CR) provides good solution to spectrum scarcity problem to accommodate new wireless applications. The network selection is an important mechanism in cognitive radio heterogeneous network (CRHN) to provide optimal Quality of Service (QoS) to both Primary Users (PUs) and Secondary Users (SUs). The aim of this work is to provide optimal QoS to SUs by appropriate network selection and channel assignment. The proposed FLACSA selects the best network while maximizing the data rate and minimizing the interference and cost simultaneously. Simulation results show the attractive performance of our proposed algorithm.

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Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks

Cited by 90 publications

References 34 publications

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

Novel Framework for Enhancing Communication Performance Quality in 5G Networks

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

Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants

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