{"title":"Signal Detection Scheme for MB-OFDM through Fractional Sampling","authors":"Akio Kobori, Y. Kato, Y. Sanada","doi":"10.1109/CROWNCOM.2008.4562530","DOIUrl":"https://doi.org/10.1109/CROWNCOM.2008.4562530","url":null,"abstract":"Currently, detect and avoid (DAA) techniques of UWB have been paid large attention because it has been regulated in Japan and Europe. In this paper, a novel signal detection scheme for coexistence of UWB and the 4th generation mobile communication systems is proposed. The proposed scheme makes use of multipath through fractional sampling. The probabilities of false detection and false alarm with fractional sampling in a MB-OFDM receiver are investigated. The numerical results show that the proposed scheme with fractional sampling improves the probability of false detection by about 10 times as compared to conventional schemes. The numerical results also prove that the DFT size can be reduced without increasing the probability of false detection.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127858668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Network Layer for Cognitive Radio Networks","authors":"M. Pitchaimani, D. Jeyaraman, Joseph B. Evans","doi":"10.1109/CROWNCOM.2008.4562533","DOIUrl":"https://doi.org/10.1109/CROWNCOM.2008.4562533","url":null,"abstract":"Cognitive radios present unique challenges in the design of a suitable network layer for networks formed by these devices. The network layer must be robust, adaptive and dynamic to meet these challenges by allowing the cognitive functionality further into the protocol stack. In this paper we outline a model for dynamic adaptation using two candidate classes of network layers and describe its various components. We evaluate aspects of the feasibility of the approach using simulation based studies.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126433275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Timmers, S. Pollin, A. Dejonghe, A. Bahai, L. Perre, F. Catthoor
{"title":"Accumulative Interference Modeling for Cognitive Radios with Distributed Channel Access","authors":"M. Timmers, S. Pollin, A. Dejonghe, A. Bahai, L. Perre, F. Catthoor","doi":"10.1109/CROWNCOM.2008.4562479","DOIUrl":"https://doi.org/10.1109/CROWNCOM.2008.4562479","url":null,"abstract":"A cognitive radio (CR) network should be able to sense its environment and adapt its communication to utilize unused licensed spectrum without interfering with incumbents. Properly modeling the expected interference from the CR network is therefore very important in the definition of coexistence rules to efficiently protect the incumbents. In this paper we model the accumulative interference generated from a large-scale CR network and investigate how this affects the sensing requirements of the CRs to meet an interference constraint. More specifically, our model considers the impact of discrete topology and the impact of the distributed channel access scheme. As an instantiation of our model, we consider a CR network based on the IEEE 802.11 standard. We show that the interference generated is large, since collisions cannot be avoided.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127299217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Estimation Algorithm of Channel State Transition Probabilities for Cognitive Radio Systems","authors":"Xin Long, Xiaoying Gan, Youyun Xu, J. Liu, M. Tao","doi":"10.1109/CROWNCOM.2008.4562505","DOIUrl":"https://doi.org/10.1109/CROWNCOM.2008.4562505","url":null,"abstract":"In this paper, an estimation algorithm of channel state transition probabilities in Markov channel model for cognitive radio systems is proposed. The framework of POMDP is adopted to solve the problem of channel selection. Maximum likelihood method is used to estimate the channel state transition probabilities, which is crucial to POMDP. Central Limit Theorem is introduced to get the relationship between the precision, sample times and the channel state transition probability values. The simulation results show the reliability of the estimation results.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115536119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Keynote Speaker","authors":"Geok-Leng Tan","doi":"10.1109/comswa.2007.382550","DOIUrl":"https://doi.org/10.1109/comswa.2007.382550","url":null,"abstract":"One look at the radio spectrum allocation chart of any country is likely to show that most of the spectrum below 6GHz has already been allocated. This has given rise to the perception that radio frequency spectrum is in short supply. But, are we really running out of radio frequency spectrum? Analysis of intensity of radio spectrum usage over frequency, time and space by various groups in the United States and the UK has shown that in actuality, the radio spectrum is only used about 15% of the time on an average basis. IDA Singapore in collaboration with the Institute for Infocomm Research (I2R) has conducted a short study to look at the intensity of use of radio spectrum in Singapore. This study, which is by no means comprehensive, does give a snapshot of spectrum usage in a certain area of Singapore. Our measurement results show that the average spectrum utilization in the frequency band from 80MHz to 5.85GHz is below 5%. Furthermore, we can clearly see that certain bands are completely free because they are set aside because of cross-border spectrum coordination with our neighbouring countries. Given that the actual spectrum use intensity is relatively low in US, UK and now demonstrated, albeit on a sample basis in Singapore, it may be possible to explore the use of cognitive radio technologies to intensify the use of spectrum, provided it does not cause interference to the primary users.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128432929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Keynote Speaker","authors":"S. Ólafsson","doi":"10.1109/cne.2007.369586","DOIUrl":"https://doi.org/10.1109/cne.2007.369586","url":null,"abstract":"The rapid growth in the density of wireless access devices, accompanied by increasing heterogeneity in wireless technologies, requires adaptive allocation and reallocation of spectrum. The traditional allocation of spectrum does not allow for its flexible utilisation. These shortcomings call for new ways to access spectrum, for example through opportunistic spectrum usage and spectrum trading. As technologies emerge on ever-faster time-scales spectrum trading on shorter and shorter time-scales will eventually create the basis for a real-time and liquid market in spectrum. This process will be accompanied by rapidly developing means to dynamically price the use of spectrum and provide the basis for transparency in pricing. In these liquid markets users can acquire the spectrum that best suits their needs and they will pay for it an economic price determined collectively by the market. We will discuss scenarios where spectrum trading will happen through brokers who continuously monitor the utilisation of different frequency bands and negotiate between those who need to buy or sell spectrum. The brokers may also have the role of a market maker and as such may be required to continuously quote the price of spectrum bands on the basis of their supply and demand situation. We will discuss scenarios where spectrum could become an asset class not only traded for hedging purposes but perhaps for speculation as well. Major investment funds may want to include spectrum in their investment portfolios for enhanced diversification and risk management.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124240144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Keynote Speaker","authors":"Joseph B. Evans","doi":"10.1109/cisp.2010.5646833","DOIUrl":"https://doi.org/10.1109/cisp.2010.5646833","url":null,"abstract":"The ongoing revolution in computing and communications technology has changed many of the foundational assumptions of today's network architectures. The challenges of the increasingly complex networking environment - particularly wireless networking - make novel approaches to operations, control, and management of radios and networks imperative. In this talk, a multi-layered approach to solving wireless networking problems using cognition will be discussed. By incorporating collaborative sensing, control and management, and learning at multiple layers and on different time scales, wireless networks can be made to adapt to the dynamics caused by radio communications and mobility. This approach will be illustrated through cognitive examples at the radio layer, at the network layer, and at the management and control tier.","PeriodicalId":409408,"journal":{"name":"2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123921985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}