Pub Date : 2010-04-06DOI: 10.1109/DYSPAN.2010.5457831
Chang-Joo Kim, Jinup Kim, Chulsik Pyo, Sang-won Kim
NA
{"title":"Dynamic Spectrum Access/Cognitive Radio Activities in Korea","authors":"Chang-Joo Kim, Jinup Kim, Chulsik Pyo, Sang-won Kim","doi":"10.1109/DYSPAN.2010.5457831","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457831","url":null,"abstract":"NA","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123276039","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.2010.5457859
R. Beckman, K. Channakeshava, Fei Huang, V. S. A. Kumar, A. Marathe, M. Marathe, Guanhong Pei
Modeling and analysis of Primary User (PU) spectrum requirement is key to effective Dynamic Spectrum Access (DSA). Allocation of long term licenses, as well as opportunistic spectrum usage by secondary users (SU) cannot be done without accurate modeling of PU behavior. This is especially important in the case of cellular network traffic, which exhibits a significant spatio-temporal variation. Recently, there has been a lot of interest in modeling PU behavior in cellular networks by means of detailed analysis of proprietary data from wireless providers (e.g., Willcomm et al., IEEE DySpan 2008). While such analysis gives useful insights, major shortcomings of such an approach include (i) unavailability of data for open scientific study, and (ii) hard to predict future trends, and changes resulting from behavioral modifications. In this paper, we develop a methodology to generate synthetic network traffic data to model primary usage, by combining a number of different data sets for mobility, device ownership and call generation in a large synthetic urban population. Unlike simple random graph techniques, these methods use real world data sources and combine them with behavioral and social theories to synthesize spatial and dynamic relational networks. We use our tool to model the network traffic in the region of Portland, Oregon, calibrated by using published aggregate measurements of Wilcomm et al. As an illustration of our approach, we study the variation in demand as a result of changes in calling patterns based on user activities, and the impact of increased user demand on hotspots and their cascades within the region.
{"title":"Synthesis and Analysis of Spatio-Temporal Spectrum Demand Patterns: A First Principles Approach","authors":"R. Beckman, K. Channakeshava, Fei Huang, V. S. A. Kumar, A. Marathe, M. Marathe, Guanhong Pei","doi":"10.1109/DYSPAN.2010.5457859","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457859","url":null,"abstract":"Modeling and analysis of Primary User (PU) spectrum requirement is key to effective Dynamic Spectrum Access (DSA). Allocation of long term licenses, as well as opportunistic spectrum usage by secondary users (SU) cannot be done without accurate modeling of PU behavior. This is especially important in the case of cellular network traffic, which exhibits a significant spatio-temporal variation. Recently, there has been a lot of interest in modeling PU behavior in cellular networks by means of detailed analysis of proprietary data from wireless providers (e.g., Willcomm et al., IEEE DySpan 2008). While such analysis gives useful insights, major shortcomings of such an approach include (i) unavailability of data for open scientific study, and (ii) hard to predict future trends, and changes resulting from behavioral modifications. In this paper, we develop a methodology to generate synthetic network traffic data to model primary usage, by combining a number of different data sets for mobility, device ownership and call generation in a large synthetic urban population. Unlike simple random graph techniques, these methods use real world data sources and combine them with behavioral and social theories to synthesize spatial and dynamic relational networks. We use our tool to model the network traffic in the region of Portland, Oregon, calibrated by using published aggregate measurements of Wilcomm et al. As an illustration of our approach, we study the variation in demand as a result of changes in calling patterns based on user activities, and the impact of increased user demand on hotspots and their cascades within the region.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522801","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.2010.5457885
Xin Liu, B. Krishnamachari, Hua Liu
We study optimal transmission strategies in multi-channel cognitive radio networks where one secondary user (SU) opportunistically accesses multiple orthogonal channels that are owned and utilized by primary users (PU). In dynamic spectrum access networks, the protection of PU's is vital, since no PU would accommodate SU access to its own detriment. Therefore the objective of the problem we study is to maximize the SU throughput while protecting PUs on all channels. At a given time, the SU decides if it transmits and if so on which PU channel it should transmit on in order to protect PU performance. We use a constraint on the expected PU packet collision probability as the protection metric. We consider a general setting where the PUs are unslotted and may have different idle/busy time distributions and protection requirements. Under general idle time distributions, we determine the form of the SU optimal access policy. We also study the special case where PUs have independent, exponentially distributed idle time. For this case, we formulate a linear program that yields an optimal randomized strategy for the secondary user, and also present a tunable heuristic which allows for a tradeoff between complexity and throughput performance.
{"title":"Channel Selection in Multi-Channel Opportunistic Spectrum Access Networks with Perfect Sensing","authors":"Xin Liu, B. Krishnamachari, Hua Liu","doi":"10.1109/DYSPAN.2010.5457885","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457885","url":null,"abstract":"We study optimal transmission strategies in multi-channel cognitive radio networks where one secondary user (SU) opportunistically accesses multiple orthogonal channels that are owned and utilized by primary users (PU). In dynamic spectrum access networks, the protection of PU's is vital, since no PU would accommodate SU access to its own detriment. Therefore the objective of the problem we study is to maximize the SU throughput while protecting PUs on all channels. At a given time, the SU decides if it transmits and if so on which PU channel it should transmit on in order to protect PU performance. We use a constraint on the expected PU packet collision probability as the protection metric. We consider a general setting where the PUs are unslotted and may have different idle/busy time distributions and protection requirements. Under general idle time distributions, we determine the form of the SU optimal access policy. We also study the special case where PUs have independent, exponentially distributed idle time. For this case, we formulate a linear program that yields an optimal randomized strategy for the secondary user, and also present a tunable heuristic which allows for a tradeoff between complexity and throughput performance.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129533911","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.2010.5457895
Husheng Li
A recommendation system is proposed to enhance the efficiency of spectrum access in cognitive radio networks by letting secondary users broadcast the indices of channels they have successfully accessed. The probabilities of different actions, i.e. which recommendation to take or access an unrecommended channel, could be either fixed and adjustable. For the constant probability case without retransmission, an upper bound of the average number of recommendations is obtained. For the constant probability case with and without retransmission, the system is modeled as a Markov random process and the corresponding state transition probabilities are obtained. For the adjustable probability case, the anytime multi-armed bandit technique is used to adapt the strategies to environments and a performance lower bound is obtained. Numerical simulation results demonstrate that the proposed recommendation system can effectively orient the channel selections and significantly improve the performance of cognitive radio networks.
{"title":"Customer Reviews in Spectrum: Recommendation System in Cognitive Radio Networks","authors":"Husheng Li","doi":"10.1109/DYSPAN.2010.5457895","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457895","url":null,"abstract":"A recommendation system is proposed to enhance the efficiency of spectrum access in cognitive radio networks by letting secondary users broadcast the indices of channels they have successfully accessed. The probabilities of different actions, i.e. which recommendation to take or access an unrecommended channel, could be either fixed and adjustable. For the constant probability case without retransmission, an upper bound of the average number of recommendations is obtained. For the constant probability case with and without retransmission, the system is modeled as a Markov random process and the corresponding state transition probabilities are obtained. For the adjustable probability case, the anytime multi-armed bandit technique is used to adapt the strategies to environments and a performance lower bound is obtained. Numerical simulation results demonstrate that the proposed recommendation system can effectively orient the channel selections and significantly improve the performance of cognitive radio networks.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126921911","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.2010.5457867
B. Bahrak, A. Deshpande, M. Whitaker, J. Park
Declarative spectrum management through policy-based dynamic spectrum access has garnered significant attention recently. Policy-based spectrum access decouples spectrum access policies from the radio platform. In policy-based spectrum access, a reasoning engine called the policy reasoner plays a critical role. The policy reasoner assists in policy enforcement and carries out a number of tasks related to policy analysis and processing. One of the most important tasks performed by the policy reasoner is evaluating transmission requests in the context of the currently active set of policies. This paper describes the design and implementation of a novel policy reasoner. The proposed policy reasoner uses multi-terminal binary decision diagrams (MTBDDs) to represent, interpret, and process policies. It uses a set of efficient graph-theoretic algorithms to translate policies into MTBDDs, merge policies into a single meta-policy, and compute opportunity constraints. In this paper, we demonstrate that policies can be processed efficiently by reframing the policy reasoning problem as a graph-based Boolean function manipulation problem. The proposed policy reasoner has the capability to respond to either under-specified or invalid transmission requests (sent by the system strategy reasoner) by returning a set of opportunity constraints that prescribes how the transmission parameters should be modified in order to make them conform to the policies. We propose three different algorithms for computing the opportunity constraints. The first algorithm computes opportunity constraints for under-specified transmission requests and its complexity is proportional to the number of variables in the meta-policy BDD. The second and third algorithms compute opportunity constraints for invalid transmission requests and their complexities are proportional to the number of variables and the size of the meta-policy BDD, respectively.
{"title":"BRESAP: A Policy Reasoner for Processing Spectrum Access Policies Represented by Binary Decision Diagrams","authors":"B. Bahrak, A. Deshpande, M. Whitaker, J. Park","doi":"10.1109/DYSPAN.2010.5457867","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457867","url":null,"abstract":"Declarative spectrum management through policy-based dynamic spectrum access has garnered significant attention recently. Policy-based spectrum access decouples spectrum access policies from the radio platform. In policy-based spectrum access, a reasoning engine called the policy reasoner plays a critical role. The policy reasoner assists in policy enforcement and carries out a number of tasks related to policy analysis and processing. One of the most important tasks performed by the policy reasoner is evaluating transmission requests in the context of the currently active set of policies. This paper describes the design and implementation of a novel policy reasoner. The proposed policy reasoner uses multi-terminal binary decision diagrams (MTBDDs) to represent, interpret, and process policies. It uses a set of efficient graph-theoretic algorithms to translate policies into MTBDDs, merge policies into a single meta-policy, and compute opportunity constraints. In this paper, we demonstrate that policies can be processed efficiently by reframing the policy reasoning problem as a graph-based Boolean function manipulation problem. The proposed policy reasoner has the capability to respond to either under-specified or invalid transmission requests (sent by the system strategy reasoner) by returning a set of opportunity constraints that prescribes how the transmission parameters should be modified in order to make them conform to the policies. We propose three different algorithms for computing the opportunity constraints. The first algorithm computes opportunity constraints for under-specified transmission requests and its complexity is proportional to the number of variables in the meta-policy BDD. The second and third algorithms compute opportunity constraints for invalid transmission requests and their complexities are proportional to the number of variables and the size of the meta-policy BDD, respectively.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128138007","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.2010.5457829
M. Weiss, S. Delaere, W. Lehr
The cognitive radio literature generally assumes that the functions required for non-cooperative secondary DSA are integrated into a single radio system. It need not be so. In this paper, we model cognitive radio functions as a value chain and explore the implications of different forms of organization of this value chain. We initially explore the consequences of separating the sensing function from other cognitive radio functions.
{"title":"Sensing as a Service: An Exploration into Practical Implementations of DSA","authors":"M. Weiss, S. Delaere, W. Lehr","doi":"10.1109/DYSPAN.2010.5457829","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457829","url":null,"abstract":"The cognitive radio literature generally assumes that the functions required for non-cooperative secondary DSA are integrated into a single radio system. It need not be so. In this paper, we model cognitive radio functions as a value chain and explore the implications of different forms of organization of this value chain. We initially explore the consequences of separating the sensing function from other cognitive radio functions.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128339091","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.2010.5457855
Jianfeng Wang, M. Song, Soma Santhiveeran, K. Lim, Gwangzeen Ko, Kihong Kim, Sunghyun Hwang, M. Ghosh, V. Gaddam, K. Challapali
Recent FCC rules allowing unlicensed use on a secondary basis of the Television White Spaces (TVWS) promise a whole new set of possible applications. The first step towards realizing these applications is the creation and adoption of industry standards. In this paper we present the first such standard for personal/portable devices in the TVWS that complies fully with the existing FCC rules while retaining flexibility for use with other regulatory domains. We describe the physical (PHY) and medium access control (MAC) layers specified in the standard and present performance results to demonstrate the robustness and spectral efficiency of the proposed protocols.
{"title":"First Cognitive Radio Networking Standard for Personal/Portable Devices in TV White Spaces","authors":"Jianfeng Wang, M. Song, Soma Santhiveeran, K. Lim, Gwangzeen Ko, Kihong Kim, Sunghyun Hwang, M. Ghosh, V. Gaddam, K. Challapali","doi":"10.1109/DYSPAN.2010.5457855","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457855","url":null,"abstract":"Recent FCC rules allowing unlicensed use on a secondary basis of the Television White Spaces (TVWS) promise a whole new set of possible applications. The first step towards realizing these applications is the creation and adoption of industry standards. In this paper we present the first such standard for personal/portable devices in the TVWS that complies fully with the existing FCC rules while retaining flexibility for use with other regulatory domains. We describe the physical (PHY) and medium access control (MAC) layers specified in the standard and present performance results to demonstrate the robustness and spectral efficiency of the proposed protocols.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123860161","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.2010.5457866
Evanny Obregon Gamarra, J. Zander
As Digital Television Broadcasting spreads over the world, existing (and more) TV channels can be distributed in less spectrum in the spectrum traditionally allocated to TV broadcasting. This freed spectrum is also referred to as the "Digital Dividend" and its use has been debated around the world. In addition, there is also a debate about the potential use of the "white space" within the TV-bands. This is due to the sparse frequency planning with large interference margins, which is typical in wide area broadcasting. Various technical approaches using Opportunistic Spectrum Access (OSA) have been proposed for unlicensed "white space" access to the TV bands. Most of previous studies have focused on spectrum sensing, i.e. detecting "free channels", where secondary users, utilizing White Space Devices (WSD) could avoid causing harmful interference to the TV receivers. However, interference caused by WSD is not only limited to co-channel interference. In particular, in short-range scenarios, the adjacent channel interference is an equally severe problem. Assessing the feasibility of WSDs in short-range indoor scenarios, taking more interference mechanisms into account is the objective of this paper. An Indoor home scenario with Cable, Rooftop antenna and Set-top antenna reception of DVB-T, has been analyzed. The spectrum reuse opportunities for WSDs have been determined, using the number of channels where it is possible to transmit without causing harmful interference to DVB-T receivers as performance measure. Simulation results show that the number of available channels for indoor unlicensed white space transmission appears to be significant in most of the studied scenarios.
{"title":"Short Range White Space Utilization in Broadcast Systems for Indoor Environments","authors":"Evanny Obregon Gamarra, J. Zander","doi":"10.1109/DYSPAN.2010.5457866","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457866","url":null,"abstract":"As Digital Television Broadcasting spreads over the world, existing (and more) TV channels can be distributed in less spectrum in the spectrum traditionally allocated to TV broadcasting. This freed spectrum is also referred to as the \"Digital Dividend\" and its use has been debated around the world. In addition, there is also a debate about the potential use of the \"white space\" within the TV-bands. This is due to the sparse frequency planning with large interference margins, which is typical in wide area broadcasting. Various technical approaches using Opportunistic Spectrum Access (OSA) have been proposed for unlicensed \"white space\" access to the TV bands. Most of previous studies have focused on spectrum sensing, i.e. detecting \"free channels\", where secondary users, utilizing White Space Devices (WSD) could avoid causing harmful interference to the TV receivers. However, interference caused by WSD is not only limited to co-channel interference. In particular, in short-range scenarios, the adjacent channel interference is an equally severe problem. Assessing the feasibility of WSDs in short-range indoor scenarios, taking more interference mechanisms into account is the objective of this paper. An Indoor home scenario with Cable, Rooftop antenna and Set-top antenna reception of DVB-T, has been analyzed. The spectrum reuse opportunities for WSDs have been determined, using the number of channels where it is possible to transmit without causing harmful interference to DVB-T receivers as performance measure. Simulation results show that the number of available channels for indoor unlicensed white space transmission appears to be significant in most of the studied scenarios.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124174356","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.2010.5457920
Ruolin Zhou, Xue Li, V. Chakravarthy, C. Bullmaster, Bin Wang, Reginald L. Cooper, Zhiqiang Wu
In this paper, we demonstrate an adaptive interference avoidance overlay cognitive radio implementation via software defined radio. Using spectrally modulated spectrally encoded (SMSE) framework, we implement a multi-carrier based overlay cognitive radio waveform via USRP (Universal Software Radio Peripheral) software defined radio boards and GNU radio software platform. This cognitive radio is capable of detecting primary users in real time and adaptively adjusting its transmission parameters to avoid interference to primary users. More importantly, this cognitive radio can take advantage of multiple spectrum holes by employing non-contiguous multicarrier transmission technologies. Additionally, we demonstrate that when the primary user transmission changes, the cognitive radio dynamically adjusts its transmission accordingly. We also demonstrate seamless real time video transmission between two cognitive radio nodes, while avoiding interference from primary users and interference to primary users operating in the same spectrum.
{"title":"Software Defined Radio Implementation of SMSE Based Overlay Cognitive Radio","authors":"Ruolin Zhou, Xue Li, V. Chakravarthy, C. Bullmaster, Bin Wang, Reginald L. Cooper, Zhiqiang Wu","doi":"10.1109/DYSPAN.2010.5457920","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457920","url":null,"abstract":"In this paper, we demonstrate an adaptive interference avoidance overlay cognitive radio implementation via software defined radio. Using spectrally modulated spectrally encoded (SMSE) framework, we implement a multi-carrier based overlay cognitive radio waveform via USRP (Universal Software Radio Peripheral) software defined radio boards and GNU radio software platform. This cognitive radio is capable of detecting primary users in real time and adaptively adjusting its transmission parameters to avoid interference to primary users. More importantly, this cognitive radio can take advantage of multiple spectrum holes by employing non-contiguous multicarrier transmission technologies. Additionally, we demonstrate that when the primary user transmission changes, the cognitive radio dynamically adjusts its transmission accordingly. We also demonstrate seamless real time video transmission between two cognitive radio nodes, while avoiding interference from primary users and interference to primary users operating in the same spectrum.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665439","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.2010.5457910
M. Al-Ayyoub, M. Buddhikot, Himanshu Gupta
In recent years, Self-management (Self-X) technologies that fully automate the tasks of managing (i.e. configuring, monitoring, and optimizing) a cellular network are emerging as an important tool in reducing service provider OPEX and CAPEX and will be a distinguishing feature of LTE (Long Term Evolution) networks. In this work, we focus on one such Self-X technology, namely, self-configuration of fractional frequency reuse (FFR) patterns for LTE/WiMAX. % We contend that any solution to this problem must meet the following often-conflicting objectives: (1) Computational efficiency: The self-assignment procedure should be efficient and use only local neighborhood information for computation. (2) Controlled cascading and stability: in the event of cell addition or deletion, the impact of recomputing the FFR should be restricted to a well-defined local neighborhood of the base station and should not cascade over the entire network. (3) Optimality of solution: The spectrum utilization resulting from FFR computed should be closest to optimal as possible. % We report design, analysis and simulation of distributed algorithms that provide the network designer a flexible tool to tune the above objectives. For each possible choice made by the system designer, our tool delivers a near-optimal spectrum utilization with specific guarantees on the rest of the properties. We report example results using realistic network topologies and our efforts to integrate the algorithms in the ALU LTE Simulator.
{"title":"Self-Regulating Spectrum Management: A Case of Fractional Frequency Reuse Patterns in LTE Networks","authors":"M. Al-Ayyoub, M. Buddhikot, Himanshu Gupta","doi":"10.1109/DYSPAN.2010.5457910","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457910","url":null,"abstract":"In recent years, Self-management (Self-X) technologies that fully automate the tasks of managing (i.e. configuring, monitoring, and optimizing) a cellular network are emerging as an important tool in reducing service provider OPEX and CAPEX and will be a distinguishing feature of LTE (Long Term Evolution) networks. In this work, we focus on one such Self-X technology, namely, self-configuration of fractional frequency reuse (FFR) patterns for LTE/WiMAX. % We contend that any solution to this problem must meet the following often-conflicting objectives: (1) Computational efficiency: The self-assignment procedure should be efficient and use only local neighborhood information for computation. (2) Controlled cascading and stability: in the event of cell addition or deletion, the impact of recomputing the FFR should be restricted to a well-defined local neighborhood of the base station and should not cascade over the entire network. (3) Optimality of solution: The spectrum utilization resulting from FFR computed should be closest to optimal as possible. % We report design, analysis and simulation of distributed algorithms that provide the network designer a flexible tool to tune the above objectives. For each possible choice made by the system designer, our tool delivers a near-optimal spectrum utilization with specific guarantees on the rest of the properties. We report example results using realistic network topologies and our efforts to integrate the algorithms in the ALU LTE Simulator.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116033851","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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