Abstract | ||
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This paper presents an interference constraint and power control schemes based on the capacity conservation ratio (CCR). The CCR is the ratio of the decreased capacity in the spectrum sharing to the original capacity of a system. By utilising the CCR as a metric to protect the primary user, a secondary user can achieve sufficient performance, without a large degradation in the primary capacity. In this paper, we propose novel power control schemes under interference constraints based on the CCR, with consideration of the fading effect, by using theoretical analysis. There are two types of power control schemes, namely, an exact power control scheme (EPCS) and a simplified power control scheme (SPCS). The EPCS can control the outage probability; however, a numerical analytic approach is necessary to determine the transmit power. In contrast, the SPCS can be used to derive the transmit power from a closed form with an archiving requirement of the constraint. We analytically derive the average capacity of the primary user and secondary user and the complementary cumulative distribution function of the primary capacity. From these numerical results, we show that the interference constraint based on the CCR achieves better performance in underlay spectrum sharing than the other two interference constraints. Furthermore, the SPCS can achieve a performance equivalent to that of the EPCS, and the SPCS can protect both the low and the high primary capacities under the same constraint. Copyright (c) 2013 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
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2013 | 10.1002/ett.2721 | TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES |
Field | DocType | Volume |
Mathematical optimization,Transmitter power output,Fading,Power control,Cumulative distribution function,Underlay,Interference (wave propagation),Spectrum sharing,Outage probability,Mathematics | Journal | 24 |
Issue | ISSN | Citations |
SP7-8 | 2161-3915 | 3 |
PageRank | References | Authors |
0.43 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kei Inage | 1 | 23 | 5.80 |
takeo fujii | 2 | 248 | 76.17 |
Kazushi Muraoka | 3 | 35 | 8.16 |
Masayuki Ariyoshi | 4 | 27 | 7.55 |