Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457892
Q. Chen, C. Chou, S. Kanhere, Wei Zhang, S. Jha
In 2003, Federal Communications Commission (FCC) has released a new spectrum policy called ``Interference Temperature model" to improve the channel access opportunities of secondary users. Under this model, the secondary users are allowed to access the licensed spectrum simultaneously with the primary users provided that the interference at the primary receiver meets a certain threshold. We refer the Cognitive Radio Networks that employs this model as ``Whisper CRNs" (since secondary users have to use smaller transmission power to satisfy the interference constraint). In this work, we systematically analyze the performance of whisper CRNs and compare it with the traditional CRNs, where the secondary users are not allowed to transmit when primary users are busy. We aim to answer the fundamental question: what is the performance trade-off by switching to whisper CRNs from traditional CRNs. Based on the performance analysis, we also propose an efficient channel assignment scheme that has a small channel switching overhead. The results show that whisper CRNs can improve the connectivity and end-to-end throughput of secondary users considerably (by more than two times in some scenarios) but at the cost of increasing end-to-end delay. We also show that the node density of secondary users has a significant impact on the performance of whisper CRNs.
{"title":"Performance of Multi-Hop Whisper Cognitive Radio Networks","authors":"Q. Chen, C. Chou, S. Kanhere, Wei Zhang, S. Jha","doi":"10.1109/DYSPAN.2010.5457892","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457892","url":null,"abstract":"In 2003, Federal Communications Commission (FCC) has released a new spectrum policy called ``Interference Temperature model\" to improve the channel access opportunities of secondary users. Under this model, the secondary users are allowed to access the licensed spectrum simultaneously with the primary users provided that the interference at the primary receiver meets a certain threshold. We refer the Cognitive Radio Networks that employs this model as ``Whisper CRNs\" (since secondary users have to use smaller transmission power to satisfy the interference constraint). In this work, we systematically analyze the performance of whisper CRNs and compare it with the traditional CRNs, where the secondary users are not allowed to transmit when primary users are busy. We aim to answer the fundamental question: what is the performance trade-off by switching to whisper CRNs from traditional CRNs. Based on the performance analysis, we also propose an efficient channel assignment scheme that has a small channel switching overhead. The results show that whisper CRNs can improve the connectivity and end-to-end throughput of secondary users considerably (by more than two times in some scenarios) but at the cost of increasing end-to-end delay. We also show that the node density of secondary users has a significant impact on the performance of whisper CRNs.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"52 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876821","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457850
Dlovan H. Mahrof, E. Klumperink, J. Haartsen, B. Nauta
Since 2008, The Federal Communications Commission (FCC) allows the operation of Cognitive Radio (CR) in unused parts (i.e. white spots) of the DTV spectrum. Due to the nonlinearity of the radio receiver and the existence of strong DTV signals, different types of distortion products will be generated in the CR-receiver. This paper analyzes the spectral location of distortion products across the white spots depending on the location of the DTV signals in the RF spectrum, focusing on 3rd order distortion products. Based on this analysis, we show that a receiver is always limited by cross-modulation (XM3) and self-interference products. Thus true distortion free white spots do not exist if DTV signals are present after the RF-band filter. However, XM3 and self-interference distortion products are typically much weaker than 3rd order intermodulation (IM3) products. Thus it makes sense to monitor the level and spectral location of interferes and classify the "white spots" into two types, namely IM3-spots and IM3-free spots. This paper derives equations to quantify how much the 3rd order linearity requirements are relaxed when the CR operates at an IM3-free spot. The analysis not only takes into account narrowband interferers but also wideband interferers. The analysis is verified by measurements.
{"title":"On the Effect of Spectral Location of Interferers on Linearity Requirements for Wideband Cognitive Radio Receivers","authors":"Dlovan H. Mahrof, E. Klumperink, J. Haartsen, B. Nauta","doi":"10.1109/DYSPAN.2010.5457850","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457850","url":null,"abstract":"Since 2008, The Federal Communications Commission (FCC) allows the operation of Cognitive Radio (CR) in unused parts (i.e. white spots) of the DTV spectrum. Due to the nonlinearity of the radio receiver and the existence of strong DTV signals, different types of distortion products will be generated in the CR-receiver. This paper analyzes the spectral location of distortion products across the white spots depending on the location of the DTV signals in the RF spectrum, focusing on 3rd order distortion products. Based on this analysis, we show that a receiver is always limited by cross-modulation (XM3) and self-interference products. Thus true distortion free white spots do not exist if DTV signals are present after the RF-band filter. However, XM3 and self-interference distortion products are typically much weaker than 3rd order intermodulation (IM3) products. Thus it makes sense to monitor the level and spectral location of interferes and classify the \"white spots\" into two types, namely IM3-spots and IM3-free spots. This paper derives equations to quantify how much the 3rd order linearity requirements are relaxed when the CR operates at an IM3-free spot. The analysis not only takes into account narrowband interferers but also wideband interferers. The analysis is verified by measurements.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122595475","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457870
Barathram Ramkumar, T. Bose, M. Radenković
Automatic Modulation Classifier (AMC) is an important component of a Cognitive Radio (CR) architecture that helps in better utilization of the spectrum. AMC in literature is mostly developed for classifying the signal transmitted by a single user. Multiuser AMC, as the name suggests, simultaneously classifies signals transmitted by multiple users. In this paper we propose a fourth order cumulant based multiuser AMC that can perform well even in a multipath fading environment. A recursive blind multiuser channel estimation algorithm, which forms an integral part of the multiuser AMC, is also proposed. Simulation results are provided to illustrate the promising results yielded by the proposed algorithm.
{"title":"Robust Multiuser Automatic Modulation Classifier for Multipath Fading Channels","authors":"Barathram Ramkumar, T. Bose, M. Radenković","doi":"10.1109/DYSPAN.2010.5457870","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457870","url":null,"abstract":"Automatic Modulation Classifier (AMC) is an important component of a Cognitive Radio (CR) architecture that helps in better utilization of the spectrum. AMC in literature is mostly developed for classifying the signal transmitted by a single user. Multiuser AMC, as the name suggests, simultaneously classifies signals transmitted by multiple users. In this paper we propose a fourth order cumulant based multiuser AMC that can perform well even in a multipath fading environment. A recursive blind multiuser channel estimation algorithm, which forms an integral part of the multiuser AMC, is also proposed. Simulation results are provided to illustrate the promising results yielded by the proposed algorithm.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125296878","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457923
S. Pollin, E. Lopez, Anthony Antoun, P. Van Wesemael, L. Hollevoet, A. Bourdoux, A. Dejonghe, L. Van der Perre
Since the introduction of Opportunistic Spectrum Access as a new communication paradigm, research has focused on the introduction of improved techniques for spectrum sensing, establishing both theoretical foundations and building experimental prototypes proving the feasibility of spectrum sensing. None of the existing demonstrations however focused on the practical design constraints that have to be considered when using those techniques in low-power and low-cost hand held devices. The goal of this demo is to show the feasibility of spectrum sensing using reconfigurable analog and digital building blocks that have been designed to meet power, cost and area constraints of future opportunistic access devices that can access and sense a broad range of frequency bands. While the analog and digital building blocks have been designed for a broad range of sensing scenarios, focus in this demo will be on analog and digital multi-band sensing.
{"title":"Digital and Analog Solution for Low-Power Multi-Band Sensing","authors":"S. Pollin, E. Lopez, Anthony Antoun, P. Van Wesemael, L. Hollevoet, A. Bourdoux, A. Dejonghe, L. Van der Perre","doi":"10.1109/DYSPAN.2010.5457923","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457923","url":null,"abstract":"Since the introduction of Opportunistic Spectrum Access as a new communication paradigm, research has focused on the introduction of improved techniques for spectrum sensing, establishing both theoretical foundations and building experimental prototypes proving the feasibility of spectrum sensing. None of the existing demonstrations however focused on the practical design constraints that have to be considered when using those techniques in low-power and low-cost hand held devices. The goal of this demo is to show the feasibility of spectrum sensing using reconfigurable analog and digital building blocks that have been designed to meet power, cost and area constraints of future opportunistic access devices that can access and sense a broad range of frequency bands. While the analog and digital building blocks have been designed for a broad range of sensing scenarios, focus in this demo will be on analog and digital multi-band sensing.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126200166","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457891
H. Zhou, T. Ratnarajah
Abstract-In this paper, the emerging interference alignment technique is applied into the prevailing cognitive radio system. Dynamic spectrum access enables the secondary users to coexist with the licensed primary user in a cognitive radio system. However, to mitigate the intrinsic network interference of secondary users is becoming a challenge, even for the secondary network itself. Moreover, the primary user offers limited resource to share with secondary users. Here, a novel interference-oriented and alignment-based scheme is proposed, which explores the impact of propagation delay on the degrees of freedom of cognitive radio and is called interference draining scheme. On one hand, the secondary users network try to share the same interference draining space at the primary user; on the other hand, the secondary users network aligns its own internal interference. Delicate cooperation between primary user and secondary users network is implemented. A temporal paradigm illustrates a successful interference draining procedure. The interference draining efficiency manifests a surprising increase with the number of secondary users.
{"title":"A Novel Interference Draining Scheme for Cognitive Radio Based on Interference Alignment","authors":"H. Zhou, T. Ratnarajah","doi":"10.1109/DYSPAN.2010.5457891","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457891","url":null,"abstract":"Abstract-In this paper, the emerging interference alignment technique is applied into the prevailing cognitive radio system. Dynamic spectrum access enables the secondary users to coexist with the licensed primary user in a cognitive radio system. However, to mitigate the intrinsic network interference of secondary users is becoming a challenge, even for the secondary network itself. Moreover, the primary user offers limited resource to share with secondary users. Here, a novel interference-oriented and alignment-based scheme is proposed, which explores the impact of propagation delay on the degrees of freedom of cognitive radio and is called interference draining scheme. On one hand, the secondary users network try to share the same interference draining space at the primary user; on the other hand, the secondary users network aligns its own internal interference. Delicate cooperation between primary user and secondary users network is implemented. A temporal paradigm illustrates a successful interference draining procedure. The interference draining efficiency manifests a surprising increase with the number of secondary users.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131755704","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457832
H. Harada, T. Baykaş, C. Sum, H. Murakami, K. Ishizu, S. Filin, Y. Alemseged, H. Tran, Chen Sun, M. A. Rahman, Junyi Wang, Z. Lan, C. Pyo, G. Villardi, Chunyi Song, R. Funada, F. Kojima
This paper introduces NICT's two current on-going projects regarding heterogeneous type and spectrum sharing type cognitive wireless network: Project CWC (Cognitive Wireless Cloud) and Project ASTRA (Advanced Spectrum-Management Technology for Radio Access innovation). For both projects, this paper summarizes the scope, usage model, system requirement, system architecture, prototyping, and standard activities.
{"title":"Research, Development, and Standards Related Activities on Dynamic Spectrum Access and Cognitive Radio","authors":"H. Harada, T. Baykaş, C. Sum, H. Murakami, K. Ishizu, S. Filin, Y. Alemseged, H. Tran, Chen Sun, M. A. Rahman, Junyi Wang, Z. Lan, C. Pyo, G. Villardi, Chunyi Song, R. Funada, F. Kojima","doi":"10.1109/DYSPAN.2010.5457832","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457832","url":null,"abstract":"This paper introduces NICT's two current on-going projects regarding heterogeneous type and spectrum sharing type cognitive wireless network: Project CWC (Cognitive Wireless Cloud) and Project ASTRA (Advanced Spectrum-Management Technology for Radio Access innovation). For both projects, this paper summarizes the scope, usage model, system requirement, system architecture, prototyping, and standard activities.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133147976","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457839
L. Cao, Lei Yang, Xia Zhou, Zengbin Zhang, Haitao Zheng
How to distribute radio spectrum across network nodes is a critical problem in spectrum auctions and management. In this paper, we consider the problem of distributing spectrum using SINR-driven physical interference models. We propose Optimus, a new line of approximation algorithms that perform within a constant distance of min {2^α + 1, 10} from the optimum in terms of spectrum usage efficiency, where α ≥ 2 is the pathloss exponent. Different from conventional greedy solutions, Optimus applies a global optimization mechanism that transforms the spatial interference constraints into a set of linear constraints, reducing the original optimization into a linear/convex/separableprogramming problem. While linearization techniques have been applied in prior works, Optimus makes a new and important contribution by deriving a highly efficient constraint transformation applicable to general network configurations. Experiments using real network measurements and sophisticated propagation models show that Optimus outperforms existing solutions by 20-50% in spectrum utilization and is within 20% gap from the optimum. Optimus supports a wide variety of objective functions, and is applicable to many spectrum-driven applications such as spectrum auctions and spectrum admission control.
{"title":"Optimus: SINR-Driven Spectrum Distribution via Constraint Transformation","authors":"L. Cao, Lei Yang, Xia Zhou, Zengbin Zhang, Haitao Zheng","doi":"10.1109/DYSPAN.2010.5457839","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457839","url":null,"abstract":"How to distribute radio spectrum across network nodes is a critical problem in spectrum auctions and management. In this paper, we consider the problem of distributing spectrum using SINR-driven physical interference models. We propose Optimus, a new line of approximation algorithms that perform within a constant distance of min {2^α + 1, 10} from the optimum in terms of spectrum usage efficiency, where α ≥ 2 is the pathloss exponent. Different from conventional greedy solutions, Optimus applies a global optimization mechanism that transforms the spatial interference constraints into a set of linear constraints, reducing the original optimization into a linear/convex/separableprogramming problem. While linearization techniques have been applied in prior works, Optimus makes a new and important contribution by deriving a highly efficient constraint transformation applicable to general network configurations. Experiments using real network measurements and sophisticated propagation models show that Optimus outperforms existing solutions by 20-50% in spectrum utilization and is within 20% gap from the optimum. Optimus supports a wide variety of objective functions, and is applicable to many spectrum-driven applications such as spectrum auctions and spectrum admission control.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483435","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457918
T. Forde, L. Doyle, Baris Ozgul
This paper explores the evolving role of transmitter spectrum masks in the emerging paradigm of service and technology neutral spectrum planning. We advocate the use of more dynamic approaches to spectrum mask generation and design. Furthermore, we advocate a role for such masks in the implementation of dynamic spectrum access networks. In this paper we distinguish between the block-edge mask (BEM) and the spectrum emission mask (SEM). A block-edge mask specifies permitted power levels over the block of spectrum of interest and its neighbouring blocks. The spectrum emission mask on the other hand describes the actual emission profile of a device. We show how advancements in technologies, especially in the area of cognitive radio and reconfigurable networks, make the notion of dynamic SEMs a reality and we argue that a more dynamic approach to BEMs opens the way for enabling technology and service neutrality in spectrum management. We present five different possible interpretations for the dynamic BEM. While recognising that the dynamic BEM will prove challenging on both a technological and regulatory front we turn to the emph{Wireless Access Policy for Electronic Communications Services} (WAPECS) framework as a solid starting point.
{"title":"Dynamic Block-Edge Masks (BEMs) for Dynamic Spectrum Emission Masks (SEMs)","authors":"T. Forde, L. Doyle, Baris Ozgul","doi":"10.1109/DYSPAN.2010.5457918","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457918","url":null,"abstract":"This paper explores the evolving role of transmitter spectrum masks in the emerging paradigm of service and technology neutral spectrum planning. We advocate the use of more dynamic approaches to spectrum mask generation and design. Furthermore, we advocate a role for such masks in the implementation of dynamic spectrum access networks. In this paper we distinguish between the block-edge mask (BEM) and the spectrum emission mask (SEM). A block-edge mask specifies permitted power levels over the block of spectrum of interest and its neighbouring blocks. The spectrum emission mask on the other hand describes the actual emission profile of a device. We show how advancements in technologies, especially in the area of cognitive radio and reconfigurable networks, make the notion of dynamic SEMs a reality and we argue that a more dynamic approach to BEMs opens the way for enabling technology and service neutrality in spectrum management. We present five different possible interpretations for the dynamic BEM. While recognising that the dynamic BEM will prove challenging on both a technological and regulatory front we turn to the emph{Wireless Access Policy for Electronic Communications Services} (WAPECS) framework as a solid starting point.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124483985","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}
Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457913
Hari Palaiyanur, K. Woyach, R. Tandra, A. Sahai
We study the issue of "spectrum zoning:" the problem of setting stable rules and bandplans - which may or may not give flexibility in use, allow markets, a primary/secondary division, etc. The approach (partially inspired by Rawls) might fairly be called "zoning as robust optimization." The goal is in part to create a framework within which new policy and technical problems can be formulated and attacked quantitatively. For researchers on the technology side, the idea is in part to change our perceived "customer." Traditionally, we have implicitly focused on the needs (perceived and as yet unperceived) of private wireless system builders (e.g. wireless carriers or their suppliers like Qualcomm). To understand the critical issues in zoning, the focus needs to switch to the needs (both perceived and as yet unperceived) of the government regulators. In particular, regulators need a principled way of deciding amongst alternatives for zoning to yield the greatest social good. This can be accomplished in a quantitative optimization framework. In this paper, one such framework is set forth and issues caused by moving away from a 'command and control' regime towards a more modern approach to spectrum management involving white-space channels and spectrum markets are explored. As an initial fruit of this framework, it can be seen that flexible band plans perform well in response to uncertain use preferences, even while not being optimal in a Pareto-efficiency sense, provided overheads are not too large.
{"title":"Spectrum Zoning as Robust Optimization","authors":"Hari Palaiyanur, K. Woyach, R. Tandra, A. Sahai","doi":"10.1109/DYSPAN.2010.5457913","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457913","url":null,"abstract":"We study the issue of \"spectrum zoning:\" the problem of setting stable rules and bandplans - which may or may not give flexibility in use, allow markets, a primary/secondary division, etc. The approach (partially inspired by Rawls) might fairly be called \"zoning as robust optimization.\" The goal is in part to create a framework within which new policy and technical problems can be formulated and attacked quantitatively. For researchers on the technology side, the idea is in part to change our perceived \"customer.\" Traditionally, we have implicitly focused on the needs (perceived and as yet unperceived) of private wireless system builders (e.g. wireless carriers or their suppliers like Qualcomm). To understand the critical issues in zoning, the focus needs to switch to the needs (both perceived and as yet unperceived) of the government regulators. In particular, regulators need a principled way of deciding amongst alternatives for zoning to yield the greatest social good. This can be accomplished in a quantitative optimization framework. In this paper, one such framework is set forth and issues caused by moving away from a 'command and control' regime towards a more modern approach to spectrum management involving white-space channels and spectrum markets are explored. As an initial fruit of this framework, it can be seen that flexible band plans perform well in response to uncertain use preferences, even while not being optimal in a Pareto-efficiency sense, provided overheads are not too large.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124859194","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}
Wideband spectrum sensing in cognitive radio networks remains an open challenge due to wideband spectrum acquisition implementation. Compressed spectrum sensing provides a powerful approach to acquire wideband signals. We purpose a probabilistic Space-time Bayesian Compressed Spectrum Sensing (ST-BCSS) to combat the noise in wideband compressed spectrum sensing. We present an informative hierarchical prior probabilistic model to recover the compressed spectrum by exploiting the temporal and spatial prior information. These priori information endows the robustness of spectrum sensing subject to noise and low sampling rate. We present a probabilistic framework to address how to represent, convey and fuse multi-prior information to improve the local compressed spectrum reconstruction. Numerical simulation results demonstrate that the ST-BCSS algorithm improves the performance of compressed spectrum sensing under low sampling rate and low Signal Noise Ratio (SNR), compared with the traditional Basis Pursuit and Orthogonal Matching Pursuit algorithms. A correlation based algorithm for the detection of reconstruction failure due to non-sparse spectrum is also proposed and demonstrated using numerical simulations.
{"title":"Space-Time Bayesian Compressed Spectrum Sensing for Wideband Cognitive Radio Networks","authors":"Zhenghao Zhang, Husheng Li, Depeng Yang, Changxing Pei","doi":"10.1109/DYSPAN.2010.5457841","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457841","url":null,"abstract":"Wideband spectrum sensing in cognitive radio networks remains an open challenge due to wideband spectrum acquisition implementation. Compressed spectrum sensing provides a powerful approach to acquire wideband signals. We purpose a probabilistic Space-time Bayesian Compressed Spectrum Sensing (ST-BCSS) to combat the noise in wideband compressed spectrum sensing. We present an informative hierarchical prior probabilistic model to recover the compressed spectrum by exploiting the temporal and spatial prior information. These priori information endows the robustness of spectrum sensing subject to noise and low sampling rate. We present a probabilistic framework to address how to represent, convey and fuse multi-prior information to improve the local compressed spectrum reconstruction. Numerical simulation results demonstrate that the ST-BCSS algorithm improves the performance of compressed spectrum sensing under low sampling rate and low Signal Noise Ratio (SNR), compared with the traditional Basis Pursuit and Orthogonal Matching Pursuit algorithms. A correlation based algorithm for the detection of reconstruction failure due to non-sparse spectrum is also proposed and demonstrated using numerical simulations.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133170098","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}
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