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Introduction

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Channel Aggregation and Fragmentation for Traffic Flows

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

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Abstract

With the rapid development of modern communication systems and electronics technologies, spectrum utilization becomes more and more flexible and dynamic. Traditionally, a traffic flow is sent within one communication channel. With the help of channel aggregation (CA) technology, it is possible to adopt multiple channels for transmitting one flow, while the channel fragmentation (CF) technology can help divide one channel into multiple segments in order to transmit multiple flows. Studies on CA and CF and their relevant topics are numerous. To indicate the amount of the studies, we searched channel aggregation as the keyword in IEEE Xplore, on January 20th, 2019, and found 1256 relevant articles. In this chapter, we introduce the principle of CA and CF, and the concepts that are similar to them. We also provide an incomplete survey of these techniques with the main focus on cognitive radio networks (CRNs).

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Notes

  1. 1.

    Cognitive radio (CR) is a software-defined radio with built-in intelligence that can detect available spectrum opportunities in a wireless spectrum and adaptively adjust transmission parameters to operate concurrently with existing systems. A CR normally does not own a communication spectrum and thus needs to access channels belonging to other systems opportunistically. A CRN is a communication network composed by CRs.

  2. 2.

    Wireless sensor networks are composed by a number of dispersed sensors with communication modules for monitoring or collecting data from a specific environment. WSNs have been applied in many fields, such as industrial and home automation.

  3. 3.

    Primary users are the owners of the spectrum who have priority in spectrum access in the CRNs.

  4. 4.

    Secondary users in CRNs are users who borrow the spectrum belonging to PUs. We use SUs and CRs interchangeably when there is no ambiguity.

  5. 5.

    Quality of service describes the overall performance of a service in a communications system, which is usually quantitatively measured via parameters such as throughput, delay, jitter, packet loss ratio, and etc.

  6. 6.

    We consider channel selection as a special case of resource allocation. If no power is allocated on a channel, the channel is not opted for communication.

  7. 7.

    More detailed definition of QSR can be found in Sect. 4.1.3.

  8. 8.

    For a complete system description, please refer to Sect. 3.1.2.

  9. 9.

    This capacity is different from Shannon capacity. More specifically, the capacity is defined by the number of completed flows over a unit time.

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Authors and Affiliations

  1. The Department of Information and Communication Technology, University of Agder, Grimstad, Norway

    Lei Jiao

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  1. Lei Jiao
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Jiao, L. (2020). Introduction. In: Channel Aggregation and Fragmentation for Traffic Flows. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-33080-4_1

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  • DOI: https://doi.org/10.1007/978-3-030-33080-4_1

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  • Online ISBN: 978-3-030-33080-4

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