In this paper, dynamic spectrum management is studied for multiple cognitive tactical radio netwo... more In this paper, dynamic spectrum management is studied for multiple cognitive tactical radio networks coexisting in the same area. A tactical radio network is composed of a transmitter which broadcasts the same information to its multiple receivers. First, we consider the problem of power minimization subject to a minimum rate constraint and a spectral mask constraint for a single tactical
In this paper, the design and the modeling of an indoor impulse UWB GPR systems (1 GHz - 5 GHz), ... more In this paper, the design and the modeling of an indoor impulse UWB GPR systems (1 GHz - 5 GHz), built in the scope of the HUDEM project, is presented. For an impulse UWB system, a time-domain modeling is an obvious choice. We explain how the antennas can be characterized by their normalized impulse response. By considering the antenna as
A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood rati... more A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ2 distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson-Darling and the conventional energy detection tests in the case of a low signal-to-noise ratio.
Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radi... more Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radio network (CRN) by combining sensing information of multiple cognitive radio users. In this paper, we study different fusion schemes that can be implemented in fusion center. Simulation comparison between these schemes based on hard, quantized and soft fusion rules are conducted. It is shown through computer simulation that the soft combination scheme outperforms the hard one at the cost of more complexity; the quantized combination scheme provides a good tradeoff between detection performance and complexity. In the paper, we also analyze a quantized combination scheme based on a tree-bit quantization and compare its performance with some hard and soft combination schemes.
Cooperative Spectrum Sensing (CSS) has shown to be a powerful solution to improve the sensing per... more Cooperative Spectrum Sensing (CSS) has shown to be a powerful solution to improve the sensing performance in cognitive radio (CR) networks. In this paper, we explore the CSS model based on the evolutionary theoretical game to address the interactions between CR users. This paper also provides a detailed overview and analysis on the state of the art of spectrum sensing based on evolutionary game. We first introduce the formulation of theoretical game in cooperative spectrum sensing. Then, the evolutionary theoretical game model for CSS is described and analyzed. The open research challenges related to evolutionary theoretical game in CSS are also discussed.
In this paper, the channel utilization (throughput vs. sensing time relationship) is analyzed for... more In this paper, the channel utilization (throughput vs. sensing time relationship) is analyzed for cooperative spectrum sensing under different combining rules and scenarios. The combining rules considered in this study are the OR hard combining rule, the AND hard combining rule, the Equal Gain Soft combining rule and the two-bit quantized (softened hard) combining rule. For all combining rules, the detection performance, with a Gaussian distribution assumption, is expressed in two different scenarios, CPUP (Constant Primary User Protection) and CSUSU (Constant Secondary User Spectrum Usability). A comparison, based on simulations, is conducted between these proposed schemes in both scenarios, in terms of detection performance and throughput capacity of the CR network.
In cognitive radio, spectrum sensing is one of the most important tasks. In this article, a blind... more In cognitive radio, spectrum sensing is one of the most important tasks. In this article, a blind spectrum sensing method based on goodness-of-fit (GoF) test using likelihood ratio (LLR) is studied. In the proposed method, a chi-square distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson Darling (AD) and the conventional energy detection (ED) in case of a limited number of received samples and low signal to noise ratio (SNR). We also evaluate the proposed method in case of a non-Gaussian noise and in case of noise uncertainty. It is shown that the GoF based spectrum sensing methods are less sensitive to both impairments, than the conventional ED. Finally, this paper investigates the influence of the number of samples on the detection performance. The performance difference between the GoF based sensing (LLR and AD) and ED increase...
In cognitive radio, spectrum sensing is a challenging task. Proposed is a new spectrum sensing me... more In cognitive radio, spectrum sensing is a challenging task. Proposed is a new spectrum sensing method based on the goodness of fit test of the energy of the received samples with a chi-square distribution. The test statistic is derived and the performance of the proposed method is evaluated by Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the conventional energy detection method without increasing the complexity of the sensing.
Proceedings of the 2nd International ICST Conference on Performance Evaluation Methodologies and Tools, 2007
This paper introduces a novel hybrid packet-event / fluid-flow network simulation scheme. A packe... more This paper introduces a novel hybrid packet-event / fluid-flow network simulation scheme. A packet-event simulation technique uses the arrivals and the departures of packets to model the queuing system. The applications that need fine-grained performance details, are simulated with an adapted event based approach. The impact of the background traffic on these foreground packets is simulated by virtual packets, which
Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Systems, 2008
... Networks Handling Many Traffic Flows Ben Lauwens Royal Military Academy CISS/TELE 30, Renaiss... more ... Networks Handling Many Traffic Flows Ben Lauwens Royal Military Academy CISS/TELE 30, Renaissancelaan Brussels, B-1000, BELGIUM Ben.Lauwens@rma.ac.be ... The tail distribution of ΛN(i) t = PN(i) j=1 Λ(i) t determines the buffer asymptotics by Loynes's theorem [14]. ...
Abstrmt- In a typical ground-penetrating radar (GPR) twodimensional (2D) dataset, a great amount ... more Abstrmt- In a typical ground-penetrating radar (GPR) twodimensional (2D) dataset, a great amount of data is collected, but only a small percentage of these data contains useful information about a buried target. This study presents a conceptually-based background subtraction (BS) method in the frequency domain to be applied in conjunction with phase-shift migration for the extraction of relevant information of
In this paper, dynamic spectrum management is studied for multiple cognitive tactical radio netwo... more In this paper, dynamic spectrum management is studied for multiple cognitive tactical radio networks coexisting in the same area. A tactical radio network is composed of a transmitter which broadcasts the same information to its multiple receivers. First, we consider the problem of power minimization subject to a minimum rate constraint and a spectral mask constraint for a single tactical
In this paper, the design and the modeling of an indoor impulse UWB GPR systems (1 GHz - 5 GHz), ... more In this paper, the design and the modeling of an indoor impulse UWB GPR systems (1 GHz - 5 GHz), built in the scope of the HUDEM project, is presented. For an impulse UWB system, a time-domain modeling is an obvious choice. We explain how the antennas can be characterized by their normalized impulse response. By considering the antenna as
A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood rati... more A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ2 distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson-Darling and the conventional energy detection tests in the case of a low signal-to-noise ratio.
Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radi... more Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radio network (CRN) by combining sensing information of multiple cognitive radio users. In this paper, we study different fusion schemes that can be implemented in fusion center. Simulation comparison between these schemes based on hard, quantized and soft fusion rules are conducted. It is shown through computer simulation that the soft combination scheme outperforms the hard one at the cost of more complexity; the quantized combination scheme provides a good tradeoff between detection performance and complexity. In the paper, we also analyze a quantized combination scheme based on a tree-bit quantization and compare its performance with some hard and soft combination schemes.
Cooperative Spectrum Sensing (CSS) has shown to be a powerful solution to improve the sensing per... more Cooperative Spectrum Sensing (CSS) has shown to be a powerful solution to improve the sensing performance in cognitive radio (CR) networks. In this paper, we explore the CSS model based on the evolutionary theoretical game to address the interactions between CR users. This paper also provides a detailed overview and analysis on the state of the art of spectrum sensing based on evolutionary game. We first introduce the formulation of theoretical game in cooperative spectrum sensing. Then, the evolutionary theoretical game model for CSS is described and analyzed. The open research challenges related to evolutionary theoretical game in CSS are also discussed.
In this paper, the channel utilization (throughput vs. sensing time relationship) is analyzed for... more In this paper, the channel utilization (throughput vs. sensing time relationship) is analyzed for cooperative spectrum sensing under different combining rules and scenarios. The combining rules considered in this study are the OR hard combining rule, the AND hard combining rule, the Equal Gain Soft combining rule and the two-bit quantized (softened hard) combining rule. For all combining rules, the detection performance, with a Gaussian distribution assumption, is expressed in two different scenarios, CPUP (Constant Primary User Protection) and CSUSU (Constant Secondary User Spectrum Usability). A comparison, based on simulations, is conducted between these proposed schemes in both scenarios, in terms of detection performance and throughput capacity of the CR network.
In cognitive radio, spectrum sensing is one of the most important tasks. In this article, a blind... more In cognitive radio, spectrum sensing is one of the most important tasks. In this article, a blind spectrum sensing method based on goodness-of-fit (GoF) test using likelihood ratio (LLR) is studied. In the proposed method, a chi-square distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson Darling (AD) and the conventional energy detection (ED) in case of a limited number of received samples and low signal to noise ratio (SNR). We also evaluate the proposed method in case of a non-Gaussian noise and in case of noise uncertainty. It is shown that the GoF based spectrum sensing methods are less sensitive to both impairments, than the conventional ED. Finally, this paper investigates the influence of the number of samples on the detection performance. The performance difference between the GoF based sensing (LLR and AD) and ED increase...
In cognitive radio, spectrum sensing is a challenging task. Proposed is a new spectrum sensing me... more In cognitive radio, spectrum sensing is a challenging task. Proposed is a new spectrum sensing method based on the goodness of fit test of the energy of the received samples with a chi-square distribution. The test statistic is derived and the performance of the proposed method is evaluated by Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the conventional energy detection method without increasing the complexity of the sensing.
Proceedings of the 2nd International ICST Conference on Performance Evaluation Methodologies and Tools, 2007
This paper introduces a novel hybrid packet-event / fluid-flow network simulation scheme. A packe... more This paper introduces a novel hybrid packet-event / fluid-flow network simulation scheme. A packet-event simulation technique uses the arrivals and the departures of packets to model the queuing system. The applications that need fine-grained performance details, are simulated with an adapted event based approach. The impact of the background traffic on these foreground packets is simulated by virtual packets, which
Proceedings of the First International ICST Conference on Simulation Tools and Techniques for Communications Networks and Systems, 2008
... Networks Handling Many Traffic Flows Ben Lauwens Royal Military Academy CISS/TELE 30, Renaiss... more ... Networks Handling Many Traffic Flows Ben Lauwens Royal Military Academy CISS/TELE 30, Renaissancelaan Brussels, B-1000, BELGIUM Ben.Lauwens@rma.ac.be ... The tail distribution of ΛN(i) t = PN(i) j=1 Λ(i) t determines the buffer asymptotics by Loynes's theorem [14]. ...
Abstrmt- In a typical ground-penetrating radar (GPR) twodimensional (2D) dataset, a great amount ... more Abstrmt- In a typical ground-penetrating radar (GPR) twodimensional (2D) dataset, a great amount of data is collected, but only a small percentage of these data contains useful information about a buried target. This study presents a conceptually-based background subtraction (BS) method in the frequency domain to be applied in conjunction with phase-shift migration for the extraction of relevant information of
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Papers by Bart Scheers