Performance Evaluation of Overhead Reduction Method for Cyclostationarity-Inducing Transmission

Harada, Hiroyuki; Maeda, Koji; Furuno, T.; Miura, S.; Ohya, Tomoyuki

doi:10.1109/vetecs.2010.5494008

Cited by 6 publications

(10 citation statements)

References 9 publications

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“…OFDM signals exhibits cyclostationarity with cyclic frequencies of α ¼ AEk=T D , k ¼ 1,2,:::, according to Refs. [11,12]. The OFDM signal we used here has 32 subcarriers, and the length of the cyclic prefix is 1/4 of the symbol length.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

A design of multi-cycle detector for cognitive radios

Wang

2011

Front. Electr. Electron. Eng. China

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Cognitive radio (CR) is a promising technology. The most fundamental problem of CR is spectrum sensing. Energy detector is often considered for spectrum sensing in CR, and if the noise power is exactly known, energy detector has admirable performance. However, in practice, noise power is always inexactly known. To solve this problem, Dandawate [Dandawate et al. IEEE Transactions on Signal Processing, 1994, 42(9): 2355-2369] has proposed a nonparametric single-cycle detector based on cyclostationarity, which is robust to noise uncertainty. In this paper, based on Dandawate's single-cycle detector, a joint multi-cycle detector is further proposed, which is also nonparametric and immune from noise uncertainty. Simulation results have shown the validity and superiority over single-cycle detector of the proposed detector.

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Section: Simulation Results and Analysismentioning

confidence: 99%

A design of multi-cycle detector for cognitive radios

Wang

2011

Front. Electr. Electron. Eng. China

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“…Cylostationarity-inducing transmission methods have been studied in [8]- [10] to identify different signals with the same signal formats. Since these methods induce artificial CAF peaks in OFDM signals, the cyclostationarity feature detector can identify these signals.…”

Section: B Cyclostationarity-inducing Methods Using Dedicated Subcarrmentioning

confidence: 99%

“…A block diagram of the transmitter for the cyclostationarityinducing method proposed in [10] is shown in Fig. 1.…”

Section: B Cyclostationarity-inducing Methods Using Dedicated Subcarrmentioning

confidence: 99%

“…Recently, many wireless standards apply orthogonal frequency domain multiplexing (OFDM), so we must expect that several primary systems will apply OFDM with similar specifications. To address this problem, configuration methods that induce different cyclostationarities in OFDM signals with the same transmission parameters have been studied [8]- [10]. The cyclostationarityinducing transmission method gives different CAF features by embedding some dedicated signals with special CAF features.…”

Section: Introductionmentioning

confidence: 99%

“…The cyclostationarityinducing transmission method gives different CAF features by embedding some dedicated signals with special CAF features. Moreover, members of our group [10] showed that the cyclostationarity-inducing transmission method can, to simplify the recognition processes, be used to transfer additional information such as the position of primary transmitters, access method to database serving spectrum sharing policies, and allowable interference level of the primary system.…”

Section: Introductionmentioning

confidence: 99%

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Experimental evaluation of multiple signal identification based on cyclostationarity in spectrum sharing scenarios

Harada¹,

Fujii²,

Miura³

et al. 2010

2010 16th Asia-Pacific Conference on Communications (APCC)

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An important and widely used detection technique is cyclostationarity-based feature detection because the method does not require prior information such as the signal bandwidth or frame format, and time and frequency synchronization are likewise not required. The problem with conventional cyclostationarity-based feature detection is that the detection probability of weak signals degrades if multiple signals with different received-power levels are captured simultaneously. Multiple signal identification has been studied in order to solve such a problem. The iterative detection method suppresses the effects of previously-detected signals in the cyclic auto-correlation domain, and so improves the detection probability of weak signals. In this paper, the multiple signal identification method is evaluated based on testbed experiments. In addition, the modification of the multiple signal identification method in which the effects of other signals are previously-relieved is proposed and applied to the testbed instead of the iterative detection method. The detection performance levels of the conventional and proposed detection methods are evaluated and compared to the results of computer simulations. The results reveal the effectiveness of the proposed detection method in spectrum sharing scenarios.

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