Cognitive channel selection and scheduling for multi-channel dynamic spectrum access networks considering QoS levels

Uyanık, Gülnur Selda; Oktuğ, Sema

doi:10.1016/j.adhoc.2017.04.003

Cited by 13 publications

(18 citation statements)

References 17 publications

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“…33,37,38 However, DSA has to be integrated with IWC in order to apply CR as solution for current IWC spectrum inefficiency problems. 5,[39][40][41] Correspondingly, Figure 3 explains what the DSA concept is in CR technology. In addition, to implement DSA as a CR capability CR user should be able to sense and detect unused frequency spectrum, F I G U R E 3 An illustration of DSA.…”

Section: Iwc: An Overviewmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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Integral and crucial to performance of wireless sensor networks (WSNs), and specifically industrial wireless sensor network (IWSN) is stable, robust, reliable, and ubiquitous communications system. Though, wired communications system is suitable for industrial communications and is resilient to shadowing and multipath fading effects of industrial‐WSN environments, yet its wireless counterpart is a much preferred industrial communications technology due to reduced cost and high flexibility which it offers in comparison to wired communications. However, overcrowding of the industrial, scientific, and medical band, where IWSN is deployed together with other heterogeneous technologies, as well as resultant scarcity of usable frequency spectrum has restrained exclusive application of wireless technology for industrial communications. Nonetheless, cognitive radio (CR) has ability to increase spectrum utilization efficiency and channel capacity for industrial wireless communications (IWC) through opportunistic/dynamic spectrum access (DSA) technique. In this review article, we examine how DSA can benefit IWC through exploitation of new perspectives of white space definitions in the licensed bands as well as unlicensed bands. While discussing the potential of DSA for IWC, we have considered the unique characteristics of IWC as well as technical challenges and issues imposed by industrial‐WSN. Accordingly, we have suggested and proffered appropriate CR‐based solutions in mitigating some of the challenges where necessary.

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Section: Iwc: An Overviewmentioning

confidence: 99%

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

Oyewobi

Djouani

Kurien

2020

Trans Emerging Tel Tech

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“…[43][44][45] Since FMCA is a channel allocation scheme that does not deal with channel sensing/detection, we equip the FMCA scheme with our spectrum sensing algorithm in order to have a fair comparison. It was shown in the work of Wei and Hu 41 that FMCA demonstrates high performance compared to well-known schemes in the literature such as other works.…”

Section: Inmentioning

confidence: 99%

A rate‐maximizing spectrum sharing algorithm for cognitive radio networks with generic resource constraints

Halloush

Almalkawi

et al. 2019

Trans Emerging Tel Tech

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Algorithms for spectrum sharing over resource‐limited cognitive radio networks are often designed to solve specific problems. This means that a certain algorithm deals specifically with a certain limited resource, and is not suitable for other resources. This limitation violates the software‐defined networking philosophy, where a scheme has to be reprogrammable to cope with different limited resources that can dynamically arise depending on network conditions. In this work, we investigate the problem of spectrum sharing in resource‐limited cognitive radio networks. Specifically, we introduce a novel spectrum sharing algorithm that is compatible with software‐defined networks, in the sense that it can be reprogrammed to support multiple constraints on resources of different types. A main feature of the proposed scheme is that computations could be distributed across multiple processing units to reduce computational complexity on each unit. In addition, the proposed algorithm is equipped with a fairness scheme. Simulation results demonstrate the efficacy of the proposed scheme.

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“…To tackle this, many fair SA schemes have been proposed CRN [18]- [25]. In [18]- [20], the fairness problem is solved in a centralized manner where a central unit or a base station takes the full responsibility of fair channel assignment.…”

Section: Related Workmentioning

confidence: 99%

“…According to [2], the general design process of a SA mechanism includes three steps: first, to select a criteria to define the target objectives; second, to formulate a SA problem that best fits to the target objective; third, to select the most suitable technique to solve the SA problem. There are many challenges in designing a SA mechanism [2], such as how to minimize interference between SUs and PUs [6]- [8], how to maximize spectrum utilization or throughput [9]- [17], and how to achieve fair spectrum distribution among SUs [18]- [25]. As one of the challenges, achieving fairness among SUs is very important [26].…”

Section: Introductionmentioning

confidence: 99%

A Fair Multi-Channel Assignment Algorithm With Practical Implementation in Distributed Cognitive Radio Networks

Wei

2018

IEEE Access

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Designing an efficient spectrum assignment (SA) mechanism is a key issue for realizing dynamic spectrum access in cognitive radio network. In multi-channel selection based SA schemes, secondary users (SUs) are able to utilize multiple channels simultaneously to enhance the network throughput. However, a fairness problem may happen if few SUs utilize too many idle data channels that other SUs are left with no idle channels, thus increasing the blocking probability and reducing the fairness. Aiming at improving the network throughput with multi-channel selection capability while maintaining fairness among the SUs, in this paper, we propose a fair multi-channel assignment scheme (FMCA) for distributed cognitive radio networks. For the FMCA scheme, we design a new MAC framework for sensing and access contention resolution, which is integrated into the FMCA scheme. Channel-aggregation (CA) technique is used in each SU to enable the multi-channel selection ability. Considering both of the idle data channel utilization efficiency and the transmit power budget constrained CA ability of each SU, we analytically formulate a channel assignment problem according to the well-known Jain's fairness criterion. Our objective is to find a channel assignment with maximal fairness index for all SUs. The optimization problem is turned out to be a quadratic integer programming (QIP). According to the definition of Jain's fairness criterion, we design an algorithm to get the optimal solution of the QIP. With the optimal channel assignment solution, the FMCA scheme is realized in the channel assignment phase of the proposed MAC protocol. Extensive simulation results show that the proposed FMCA scheme gets a good tradeoff between throughput and fairness compared with the existing SA schemes. INDEX TERMSFair multi-channel assignment, channel-aggregation, cognitive radio, distributed cognitive radio networks, medium access control (MAC) protocol, fairness, throughput.

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Cognitive channel selection and scheduling for multi-channel dynamic spectrum access networks considering QoS levels

Cited by 13 publications

References 17 publications

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

A review of industrial wireless communications, challenges, and solutions: A cognitive radio approach

A rate‐maximizing spectrum sharing algorithm for cognitive radio networks with generic resource constraints

A Fair Multi-Channel Assignment Algorithm With Practical Implementation in Distributed Cognitive Radio Networks

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