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Autonomic Cooperative Behaviour

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Autonomic Computing Enabled Cooperative Networked Design

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Following the initial explanation of the rationale behind Autonomic Computing (AC) enabled cooperative networking in the opening chapter, extended with the details on the Autonomic Cooperative System Architectural Model (ACSAM), as proposed in the previous one, this chapter aims to introduce the very concept of Autonomic Cooperative Behaviour (ACB).

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Notes

  1. 1.

    One should note, however, that such a naming structure may appear vague or inconsistent without taking into account the definitions to follow.

  2. 2.

    The relevant spatio-temporal processing techniques will be introduced in Sect. 4.4, while the related cooperative transmission or relaying protocols will be outlined in Sect. 4.5.

  3. 3.

    When the generic transmitters and receivers are perceived as Autonomic Cooperative Nodes, certain clarification might be necessary to avoid unintended inconsistency. In particular, the example shown in Fig. 4.2 most directly covers the typical case of Multi-Element Arrays, however, should the said ACNs be homogenous and, thus, equipped with the same number of antennae, then, obviously, N would be always greater than M.

  4. 4.

    For the sake of clearly and directly showing the linear relation between the VMIMO channel capacity and the number of transmitting or receiving antennae or ACNs.

  5. 5.

    Function det() denotes the determinant.

  6. 6.

    The relevant diagonal matrix is denoted by the function diag().

  7. 7.

    This technique has been originally named Space-Time Block Coding, however, the author of this book prefers the name of Spatio-Temporal Block Coding, especially that it allows to maintain the same acronym.

  8. 8.

    In particular, one of its main advantages for the proposed solution lies with the possibility of shifting the physical complexity related to deploying Multi-Element Arrays (MEAs) on the Destination Node (DN) to creating a Virtual Cooperative Set (VCS) consisting of Autonomic Cooperative Nodes on the retransmitting, or relaying, side.

  9. 9.

    In Sect. 4.5 it will be shown how this approach may translate into the collaboration of ACNs.

  10. 10.

    As explained in Sect. 4.5, given the prior introduction of the Autonomic Cooperative Node (ACN) in Sect. 3.6 for the needs of upgrading the legacy Relay Node (RN), similarly the functionality of Virtual Antenna Arrays (VAAs) is extended to Virtual Cooperative Sets (VCSs).

  11. 11.

    Keeping in mind already the previous indication, even though the term of code rate is used here following the generally assumed nomenclature in the field of Spatio-Temporal Block Coding, it may be misleading as it would rather pertain to a certain type of modulation efficiency, to be more precise.

  12. 12.

    This also holds true for the Distributed Spatio-Temporal Block Coding (DSTBC), to be introduced in Sect. 4.5, where the elements of the MEA are, in fact, replaced with Autonomic Cooperative Nodes (ACNs).

  13. 13.

    This categorisation will be further elaborated on in Sect. 5.2 of the following chapter, where the capabilities of the Link Layer, as defined by the Open Systems Interconnection (OSI) Reference Model (RM) will be contrasted with the ones of the Network Layer in order to instantiate cross-layering for the needs of fully integrating the Autonomic Cooperative Behaviour.

  14. 14.

    The original heuristics is part of the Optimised Link State Routing (OLSR) protocol, while its modified version will become a constituent of the Autonomic Cooperative Networking Protocol (ACNP) to be described in Chap. 5.

  15. 15.

    In this book the term of Virtual Antenna Arrays is not applied directly as it appears to pertain mostly to the Link Layer, while the proper orchestration of the overall concept presented by the author requires certain conceptual and functional elevation in this respect.

  16. 16.

    Stemming from Virtual Antenna Arrays (VAAs) [17].

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  1. Poznań, Poland

    Michał Wódczak

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  1. Michał Wódczak
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Wódczak, M. (2014). Autonomic Cooperative Behaviour. In: Autonomic Computing Enabled Cooperative Networked Design. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0764-9_4

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  • DOI: https://doi.org/10.1007/978-1-4939-0764-9_4

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