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Comprehensive Capacity Ensured Distributed Binary Power Allocation in Dense Cognitive Networks

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Abstract

Considering the capacity gain of the secondary system and the capacity loss of the primary system caused by the newly accessing user, a distributed binary power allocation (admittance criterion) is proposed in dense cognitive networks including plentiful secondary nodes. The case that the secondary nodes can detect both transmitter and receiver of the primary system is analyzed first; considering that it is hard for the secondary system to detect the primary receiver without assuming the cooperation with primary system, the case that the secondary nodes only have the information about the primary transmitter is analyzed thereafter. In particular, we propose a simple estimation strategy to transform the problem of detecting primary receiver to the problem of detecting primary transmitter for the latter case. And a general power allocation scheme which is suitable for both of two cases is proposed afterward. By simulations, the restriction on the distance between secondary transmitter and primary receiver, and the restriction on the distance between secondary and primary transmitters are respectively achieved for the two cases. These two restrictions reflect that the capacities of both primary system and secondary system can be ensured to the predefined extents if these two restrictions on the distances are respectively satisfied in two cases.

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Notes

  1. A SU may obtain the surrounding PUs’ spectral occupations by visiting the database or, as an optional choice, sensing the PUs’ RF.

  2. Here, the larger the channel gain, the smaller the pathloss.

  3. The reason is that: only one PU pair is considered in our considerations, while there are a large number of SUs are contained in the system; thus increasing/decreasing the transmission power of the PU pair will bring little effect on the final results.

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Acknowledgments

This research was supported by the MKE (Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment) (IITA-2008-C1090-0801-0019).

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Authors and Affiliations

  1. Wireless Network Lab, School of Information and Communications Engineering, Beijing University of Posts and Telecommunications, 100876, Beijing, China

    Chengshi Zhao

  2. Telecommunication Engineering Lab, Graduate School of IT and Telecommunications, Inha University, Incheon, 402-751, Korea

    Chengshi Zhao & Kyungsup Kwak

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  1. Chengshi Zhao
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  2. Kyungsup Kwak
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Correspondence to Chengshi Zhao.

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Zhao, C., Kwak, K. Comprehensive Capacity Ensured Distributed Binary Power Allocation in Dense Cognitive Networks. J Netw Syst Manage 18, 24–42 (2010). https://doi.org/10.1007/s10922-009-9147-z

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