Citation
Foo, Yee Loo and Takada, Junichi (2017) Aggregate Interference of Equidistant Cognitive Radios. Wireless Personal Communications, 92 (3). pp. 1053-1069. ISSN 1572-834X
Text
art%3A10.1007%2Fs11277-016-3592-2.pdf Restricted to Repository staff only Download (813kB) |
Abstract
In spite of spectrum sensing, aggregate interference from cognitive radios (CRs) remains as a deterring factor to the implementation of spectrum sharing strategies. We provide a systematic approach of evaluating the aggregate interference (Iaggr) experienced at a victim primary receiver (PR). In our approach, we model the received power versus distance relations between a primary transmitter (PT), PR, and CRs. CRs can spatially reuse a channel and thus two adjacent CRs are separated by the co-channel reuse distance (R). Our analytical framework differs from the existing ones in that we have formulated Iaggr in terms of R and sensing inaccuracy. Energy detector is assumed for the purpose of spectrum sensing. Iaggr is expressed explicitly as a function of the number of energy samples collected (N) and the threshold SNR level used for comparison (SNRε). This allows us to assess their impacts on Iaggr. A numerical example is constructed based on the scenario of spectrum sharing between DTV broadcast and IEEE 802.22 Wireless Regional Area Network. Our analysis demonstrates the extents of which Iaggr can be restricted, by increasing R or sensing accuracy (either by increasing N or decreasing SNRε), and the amount of increment required. Conditioned on the example scenario, the critical {N, SNRε, R} values that fulfill certain regulatory requirement are revealed.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Spectrum sharing, Cognitive radio, Interference model, Spectrum sensing, Energy detector |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Faculty of Engineering (FOE) |
Depositing User: | Ms Suzilawati Abu Samah |
Date Deposited: | 06 Dec 2017 10:51 |
Last Modified: | 06 Dec 2017 10:51 |
URII: | http://shdl.mmu.edu.my/id/eprint/6547 |
Downloads
Downloads per month over past year
Edit (login required) |