Joint Power and Rate Adaptation in a Cognitive Radio Network: The Rate-Distance Approach

Shiung, David; Tsai, Chun-Shen; Huang, Jen Hsien

doi:10.1109/vetecf.2011.6093003

Cited by 2 publications

(3 citation statements)

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“…This is particularly true if we arbitrarily set N = 1, (9) and (10) degenerate to (5) and (7) as expected. The accuracy of using (8)- (10) to approximate the denominator of (3) is further examined in Section 5 through observing the cumulative distribution functions (CDFs) under practical parameter settings.…”

Section: Derivation Of Sirmentioning

confidence: 99%

“…In the next section, we present the numerical examples to demonstrate the concept of permissible areas and the ability to enhance system sum-rate. 14,13,12,11,10,9,8,7,6,5,4,3,2 m is mapped to Γ in a one-to-one manner. Fig.…”

Section: Partial Degradationmentioning

confidence: 99%

“…To validate the rate‐distance nature, Shiung and Chen [9] uses Gaussian approximation for the signals in an additive white Gaussian noise channel. Another application of the rate‐distance nature can be found in the field of power and rate control in a CRN [10]. Nevertheless, a thorough and rigorous investigation on this issue is rarely found.…”

Section: Introductionmentioning

confidence: 99%

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Rate enhancement for cognitive radios using the relationship between transmission rate and signal‐to‐interference ratio statistics

Shiung

Yang²

2013

IET Communications

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A cognitive radio (CR) tries to intelligently utilise the idle periods of the primary system (PS) for opportunistic transmission and can improve the overall spectral utilisation. When a signal is transmitted, the authors usually consider the spectral occupancy from all propagation directions and assume circular signal coverage. In this study, they derive the relationship between transmission rate and signal-to-interference ratio statistics in a CR network (CRN) while protecting the rate of the PS to a specified level. Applying this relationship to a CR, they show that the regions for a CR receiver to keep an outage probability and bit error rate, defined as permissible areas, are no longer concentric in shape even in a pure path loss channel. Through detecting which permissible area a CR receiver is located, a new cognitive cycle is developed for rate enhancement. Simulation results show that as compared with a distance-dependent rate-adaptation approach, the system sumrate increases significantly. These results suggest a new version of CRN with enhanced system capacity.

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Section: Derivation Of Sirmentioning

confidence: 99%