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Coexistence with Primary Users of Different Scales

Authors: Shridhar Mubaraq Mishra; Rahul Tandra; Anant Sahai;

Coexistence with Primary Users of Different Scales

Abstract

Opportunistic radio systems aim to exploit 'spectrum holes' by finding bands and transmission characteristics that will not cause harmful interference to the primary users of that band. This paper explores whether it is harder/easier to peacefully coexist with primary systems that operate at different scales in terms of their coverage area and transmission power. When sensing a large scale primary, a small scale secondary user can make its own decision about transmission based on the sensing results from its neighborhood. This assumption fails when the scale of the primary is comparable to the scale of the secondary user. In this scenario, we need to decouple sensing from admission control - a sensor network is required to perform the sensing. For small primaries, the environment over which the sensing results are valid is small which imposes certain minimum density requirements for sensor nodes. Collective sensing is used to localize the primary while a separate admission control algorithm decides on which secondaries can safely transmit. Location information of the primary and secondary users is key for such an admission control algorithm to operate successfully. In the case of a large primary, location uncertainty did not impact results significantly since decisions are made about a primary that is very far as compared to the inter-sensor distances. This is no longer valid for a small primary and hence more exact location information is paramount. With location uncertainty of primary and secondary users, the effective primary user footprint can increase significantly. We focus our discussion around a toy model of the Part 74 'wireless microphone users' that are a concern to the IEEE 802.22 Working Group.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
38
Average
Top 1%
Top 10%
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