Active Probing Feedback based Self Configurable Intelligent Distributed Antenna System: For Relative and Intuitive Coverage and Capacity Predictions for Proactive Spectrum Sensing and Management

Ambuj Kumar

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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Resumé

Coverage and capacity are the decisive parameters of a network performance. The impact of the subscriber, moving, grouping and moving in groups of the above phenomena are defined in a novel way as Place Time Coverage (PTCo) and Place time Capacity (PTC) respectively, and we would refer them collectively as Place Time Coverage & Capacity (PTC2). The dissertation proves through the concept of the PTC2 that the network performance can severely be degraded by the excessive and unrealistic site demands, the network management inefficiency, and the consequence of the accumulation of subscribers substantially and randomly across the area under investigation (defined here as the Area of Interest or AoI).. Both the position and, the time of the position acquired by a subscriber, raises the demand for service at the very location (termed here as PTC wobble), thereby posing an ongoing capacity demand and poor resource utilisation in the present MWCN. This random accumulation, being more intense and rapid in the highly populated metropolitan cities, tend to affect both the signal propagation and the capacity demand at the point of accumulation more severely. This PhD research addresses the PTC2 challenge through a viable solution that is based on injecting intelligence and services in parallel layers through a Distributed Antenna Systems (DAS) network. This approach would enable the remote sites to acquire intelligence and a resource pool at the same time, thereby managing the network dynamics promptly and aptly to absorb the PTC2 wobble. An Active Probing Management System (APMS) is proposed as a supporting architecture, to assist the intelligent system to keep a check on the variations at each and every site by either deploying the additional antenna or by utilising the service antenna. The probing process is an independent layer and does not use paging channels of service technology, thereby, saving extra traffic channels. Further, it is discussed how this architecture can be compatible with multi-technology and dense-net environments. The architecture that is proposed here is termed as Self Configurable Distributed Antenna System (SCIDAS).
OriginalsprogEngelsk
ForlagAalborg Universitetsforlag
Antal sider307
ISBN (Elektronisk)978-87-7112-730-0
DOI
StatusUdgivet - 2016
NavnPh.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet
ISSN2246-1248

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Antennas
Feedback
Network performance
Multiwalled carbon nanotubes (MWCN)
Network management
Intelligent systems

Bibliografisk note

PhD supervisor:
Prof. Albena Mihovska, Aalborg University, Denmark

PhD Co-supervisor:
Prof. Dr. Ramjee Prasad, Aalborg University, Denmark

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    Citer dette

    Kumar, Ambuj. / Active Probing Feedback based Self Configurable Intelligent Distributed Antenna System : For Relative and Intuitive Coverage and Capacity Predictions for Proactive Spectrum Sensing and Management. Aalborg Universitetsforlag, 2016. 307 s. (Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet).
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    Active Probing Feedback based Self Configurable Intelligent Distributed Antenna System : For Relative and Intuitive Coverage and Capacity Predictions for Proactive Spectrum Sensing and Management. / Kumar, Ambuj.

    Aalborg Universitetsforlag, 2016. 307 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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    T2 - For Relative and Intuitive Coverage and Capacity Predictions for Proactive Spectrum Sensing and Management

    AU - Kumar, Ambuj

    N1 - PhD supervisor: Prof. Albena Mihovska, Aalborg University, Denmark PhD Co-supervisor: Prof. Dr. Ramjee Prasad, Aalborg University, Denmark

    PY - 2016

    Y1 - 2016

    N2 - Coverage and capacity are the decisive parameters of a network performance. The impact of the subscriber, moving, grouping and moving in groups of the above phenomena are defined in a novel way as Place Time Coverage (PTCo) and Place time Capacity (PTC) respectively, and we would refer them collectively as Place Time Coverage & Capacity (PTC2). The dissertation proves through the concept of the PTC2 that the network performance can severely be degraded by the excessive and unrealistic site demands, the network management inefficiency, and the consequence of the accumulation of subscribers substantially and randomly across the area under investigation (defined here as the Area of Interest or AoI).. Both the position and, the time of the position acquired by a subscriber, raises the demand for service at the very location (termed here as PTC wobble), thereby posing an ongoing capacity demand and poor resource utilisation in the present MWCN. This random accumulation, being more intense and rapid in the highly populated metropolitan cities, tend to affect both the signal propagation and the capacity demand at the point of accumulation more severely. This PhD research addresses the PTC2 challenge through a viable solution that is based on injecting intelligence and services in parallel layers through a Distributed Antenna Systems (DAS) network. This approach would enable the remote sites to acquire intelligence and a resource pool at the same time, thereby managing the network dynamics promptly and aptly to absorb the PTC2 wobble. An Active Probing Management System (APMS) is proposed as a supporting architecture, to assist the intelligent system to keep a check on the variations at each and every site by either deploying the additional antenna or by utilising the service antenna. The probing process is an independent layer and does not use paging channels of service technology, thereby, saving extra traffic channels. Further, it is discussed how this architecture can be compatible with multi-technology and dense-net environments. The architecture that is proposed here is termed as Self Configurable Distributed Antenna System (SCIDAS).

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