Distributed channel assignment strategies usingcoexistence etiquettes for land based radio environment

Grace, David; Burr, Alister G.; Tozer, T.C.

doi:10.1049/el:19961330

Cited by 7 publications

(1 citation statement)

References 5 publications

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“…Spectrum sensing providing interference information can operate on either the transmitter or receiver end of a link. Previous research in [12] shows that in a single-hop cellular network, selecting channels by sensing interference at the transmitter can support greater traffic than that at the receiver. However, for a multi-hop backhaul network, the interference at the receiver site from a neighboring transmitter on the adjacent link may dominate the performance.…”

Section: Proceedings Of the 2012 Ieee Iccsmentioning

confidence: 99%

Application of cognition based resource allocation strategies on a multi-hop backhaul network

Zhao

Grace

2012

2012 IEEE International Conference on Communication Systems (ICCS)

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This paper investigates a weighting factor based reinforcement learning scheme with a physical information based channel selection policy applied on a multi-hop backhaul wireless network with directional antennas, for a high capacity density wireless system, in order to enhance the spectrum efficiency and Quality of Service (QoS). The interference environment on a multi-hop backhaul network has been analyzed. A novel channel selection policy is designed based on the interference information obtained from the spectrum sensing process, which is incorporated into a multi-hop based learning scheme. It is demonstrated that the weighting factor based reinforcement learning scheme can efficiently partition channels for users in different locations and achieve a significantly higher QoS than conventional approaches. Moreover, the receiver based interference weighted channel selection policy can speed up the learning process in its initial stage.I.

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Section: Proceedings Of the 2012 Ieee Iccsmentioning

confidence: 99%