The Experts below are selected from a list of 5334 Experts worldwide ranked by ideXlab platform
Marc Moonen - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Spectrum Management with spherical coordinates
IEEE Transactions on Signal Processing, 2014Co-Authors: Rodrigo B Moraes, Martin Wolkerstorfer, Paschalis Tsiaflakis, Marc MoonenAbstract:Multiuser interference, i.e., crosstalk, is the main bottleneck for digital subscriber lines (DSL) technology. Dynamic Spectrum Management (DSM) mitigates crosstalk by focusing on the multiuser power/frequency resource allocation problem, and it can provide formidable gains in performance. In this paper, we look at the DSM problem from a different perspective. We formu- late the problem with the power allocation vectors defined with spherical coordinates, i.e., as a function of a radius and angles. We see that this reformulation permits us to exploit structure in the problem. We propose two algorithms. In the fi rst of them, we use the fact that the DSM problem is concave in the radial dimension and perform an exhaustive search for the angles. The second algorithm uses a block coordinate descent approach, i.e., a sequence of line searches. We show that there is structure to be found in the radial dimension (it is always concave) and in the angle dimensions. For the latter, we provide conditions for the line searches to be concave or convex for each of the angles. The fact that we use structure leads to large savings in computational complexity. For example, we see that our first algorithm can be up to 60 times faster than a corresponding previously proposed algorithm. Our second algorithm is 2-15 times faster than a relevant previously proposed algorithm.
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real time Dynamic Spectrum Management for multi user multi carrier communication systems newcommandargmaxoperatornamewithlimits argmax
IEEE Transactions on Communications, 2014Co-Authors: Paschalis Tsiaflakis, François Glineur, Marc MoonenAbstract:Dynamic Spectrum Management is recognized as a key technique to tackle interference in multi-user multi-carrier communication systems and networks. However existing Dynamic Spectrum Management algorithms may not be suitable when the available computation time and compute power are limited, i.e., when a very fast responsiveness is required. In this paper, we present a new paradigm, theory and algorithm for real-time Dynamic Spectrum Management (RT-DSM). Specifically, a RT-DSM algorithm is real-time in the sense that it can be stopped at any point in time while guaranteeing a feasible and improved solution. This is enabled by the introduction of a novel difference-of-variables (DoV) transformation and problem reformulation, for which a primal coordinate ascent approach is proposed with exact line search via a logarithmically-scaled grid search. The proposed algorithm is referred to as iterative power difference balancing (IPDB). Simulations for different realistic wireline and wireless interference-limited systems demonstrate its good performance, low complexity and wide applicability under different configurations.
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Real-Time Dynamic Spectrum Management for Multi-User Multi-Carrier Communication Systems} \newcommandargmaxoperatornamewithlimits{argmax
IEEE Transactions on Communications, 2014Co-Authors: Paschalis Tsiaflakis, François Glineur, Marc MoonenAbstract:Dynamic Spectrum Management is recognized as a key technique to tackle interference in multi-user multi-carrier communication systems and networks. However existing Dynamic Spectrum Management algorithms may not be suitable when the available computation time and compute power are limited, i.e., when a very fast responsiveness is required. In this paper, we present a new paradigm, theory and algorithm for real-time Dynamic Spectrum Management (RT-DSM). Specifically, a RT-DSM algorithm is real-time in the sense that it can be stopped at any point in time while guaranteeing a feasible and improved solution. This is enabled by the introduction of a novel difference-of-variables (DoV) transformation and problem reformulation, for which a primal coordinate ascent approach is proposed with exact line search via a logarithmically-scaled grid search. The proposed algorithm is referred to as iterative power difference balancing (IPDB). Simulations for different realistic wireline and wireless interference-limited systems demonstrate its good performance, low complexity and wide applicability under different configurations.
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Real-time Dynamic Spectrum Management for multi-user multi-carrier communication systems
arXiv: Information Theory, 2013Co-Authors: Paschalis Tsiaflakis, François Glineur, Marc MoonenAbstract:Dynamic Spectrum Management is recognized as a key technique to tackle interference in multi-user multi-carrier communication systems and networks. However existing Dynamic Spectrum Management algorithms may not be suitable when the available computation time and compute power are limited, i.e., when a very fast responsiveness is required. In this paper, we present a new paradigm, theory and algorithm for real-time Dynamic Spectrum Management (RT-DSM) under tight real-time constraints. Specifically, a RT-DSM algorithm can be stopped at any point in time while guaranteeing a feasible and improved solution. This is enabled by the introduction of a novel difference-of-variables (DoV) transformation and problem reformulation, for which a primal coordinate ascent approach is proposed with exact line search via a logarithmicly scaled grid search. The concrete proposed algorithm is referred to as iterative power difference balancing (IPDB). Simulations for different realistic wireline and wireless interference limited systems demonstrate its good performance, low complexity and wide applicability under different configurations.
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Dynamic Spectrum Management in DSL with asynchronous crosstalk
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Rodrigo B Moraes, Paschalis Tsiaflakis, Marc MoonenAbstract:Dynamic Spectrum Management (DSM) aims to optimally al locate per-user transmit spectra so that the effect of multiuser interference (crosstalk) is minimized and the capabilities of the network are maximized. Work on DSM has progressed considerably over the past decade. Most of this work, however, deals with the idealized situation of perfect synchronization amongst the multiple users. This work deals with a more realistic albeit more difficult situation, i.e we consider the DSM problem with asynchronous crosstalk. We propose a novel solution for this problem, one that is mainly based on the approximate summability of the crosstalk damage ratio (CDR). Performance of the algorithm is assessed through numerical experiments and is shown to be better than the performance of state-of-the-art methods.
Zhiyong Feng - One of the best experts on this subject based on the ideXlab platform.
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Scalable and Reliable IoT Enabled by Dynamic Spectrum Management for M2M in LTE-A
IEEE Internet of Things Journal, 2016Co-Authors: Yue Gao, Zhiyong Feng, Zhijin Qin, Qixun Zhang, Oliver Holland, Mischa DohlerAbstract:To underpin the predicted growth of the Internet of Things (IoT), a highly scalable, reliable and available connectivity technology will be required. Whilst numerous technologies are available today, the industry trend suggests that cellular systems will play a central role in ensuring IoT connectivity globally. With Spectrum generally a bottleneck for 3GPP technologies, TV white space (TVWS) approaches are a very promising means to handle the billions of connected devices in a highly flexible, reliable and scalable way. To this end, we propose a cognitive radio enabled TD-LET test-bed to realize the Dynamic Spectrum Management over TVWS. In order to reduce the data acquisition and improve the detection performance, we propose a hybrid framework for the Dynamic Spectrum Management of machine-to-machine networks. In the proposed framework, compressed sensing is implemented with the aim to reduce the sampling rates for wideband Spectrum sensing. A noniterative reweighed compressive Spectrum sensing algorithm is proposed with the weights being constructed by data from geolocation databases. Finally, the proposed hybrid framework is tested by means of simulated as well as real-world data.
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Priority-Based Dynamic Spectrum Management in a Smart Grid Network Environment
IEEE Journal on Selected Areas in Communications, 2015Co-Authors: Zhiyong Feng, T. Aaron Gulliver, Ping ZhangAbstract:The heterogeneous smart grid (SG) poses two major challenges for wireless networks, namely, providing sufficient bandwidth for a wide variety of applications and high reliability for critical real-time applications. To address these challenges, the impact of communication outage on the demand response Management as a typical SG application is analyzed in this paper. A Dynamic Spectrum Management (DSM) technique is proposed to allocate resources, considering the QoS and application priorities. Vacant digital TV frequency bands are utilized to support SG applications. An algorithm to estimate the SG capacity is introduced, which can be applied to various user distributions and SG environments. This is used in conjunction with a low-complexity coloring theory algorithm to allocate the Spectrum. The results presented show that DSM provides better performance than traditional fixed Spectrum Management, in terms of QoS and secondary Spectrum utilization.
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Dynamic Spectrum Management for wcdma dvb heterogeneous systems
IEEE Transactions on Wireless Communications, 2011Co-Authors: Zhiyong Feng, T.a. GulliverAbstract:This paper proposes a novel Dynamic Spectrum Management (DSM) scheme for Wideband Code Division Multiple Access (WCDMA) / Digital Video Broadcasting (DVB) heterogeneous systems. Capacity estimation algorithms for both WCDMA and DVB are developed which consider both the user distribution and characteristics of the hybrid services. Based on these algorithms, a new Dynamic Spectrum allocation scheme is presented which allows for optimum allocation of resources and maximum secondary Spectrum usage. Coloring theory is used to significantly reduce DSM complexity while providing near-optimal performance. Numerical results are given which show that the proposed DSM scheme has better performance than Fixed Spectrum Management (FSM).
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Dynamic Spectrum Management for WCDMA/DVB Heterogeneous Systems
IEEE Transactions on Wireless Communications, 2011Co-Authors: Zhiyong Feng, T.a. GulliverAbstract:This paper proposes a novel Dynamic Spectrum Management (DSM) scheme for Wideband Code Division Multiple Access (WCDMA) / Digital Video Broadcasting (DVB) heterogeneous systems. Capacity estimation algorithms for both WCDMA and DVB are developed which consider both the user distribution and characteristics of the hybrid services. Based on these algorithms, a new Dynamic Spectrum allocation scheme is presented which allows for optimum allocation of resources and maximum secondary Spectrum usage. Coloring theory is used to significantly reduce DSM complexity while providing near-optimal performance. Numerical results are given which show that the proposed DSM scheme has better performance than Fixed Spectrum Management (FSM).
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Collaborative cognitive RRM, Dynamic Spectrum Management, and self-organisation for future mobile networks
2010Co-Authors: Eckard Bogenfeld, Dirk Von Hugo, Kamran Arshad, Beatriz Solana, Stefan Taranu, Aggelos Saatsakis, Genevieve Mange, Francisco Bernardo, Sebastien Jeux, Zhiyong FengAbstract:Forced by an enormous cost pressure, investments into future radio network infrastructure as well as operational costs have to be minimised. More efficient and highly flexible use of scarce radio resources is mandatory without compromising high network performance and users' service quality perception. This paper highlights the means to achieve this, in particular, the algorithms, results and recommendations for Joint Radio Resource Management (JRRM), Dynamic Spectrum Management (DSM) and Self-organising Networks (SON) mechanisms.
Paschalis Tsiaflakis - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Spectrum Management with spherical coordinates
IEEE Transactions on Signal Processing, 2014Co-Authors: Rodrigo B Moraes, Martin Wolkerstorfer, Paschalis Tsiaflakis, Marc MoonenAbstract:Multiuser interference, i.e., crosstalk, is the main bottleneck for digital subscriber lines (DSL) technology. Dynamic Spectrum Management (DSM) mitigates crosstalk by focusing on the multiuser power/frequency resource allocation problem, and it can provide formidable gains in performance. In this paper, we look at the DSM problem from a different perspective. We formu- late the problem with the power allocation vectors defined with spherical coordinates, i.e., as a function of a radius and angles. We see that this reformulation permits us to exploit structure in the problem. We propose two algorithms. In the fi rst of them, we use the fact that the DSM problem is concave in the radial dimension and perform an exhaustive search for the angles. The second algorithm uses a block coordinate descent approach, i.e., a sequence of line searches. We show that there is structure to be found in the radial dimension (it is always concave) and in the angle dimensions. For the latter, we provide conditions for the line searches to be concave or convex for each of the angles. The fact that we use structure leads to large savings in computational complexity. For example, we see that our first algorithm can be up to 60 times faster than a corresponding previously proposed algorithm. Our second algorithm is 2-15 times faster than a relevant previously proposed algorithm.
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real time Dynamic Spectrum Management for multi user multi carrier communication systems newcommandargmaxoperatornamewithlimits argmax
IEEE Transactions on Communications, 2014Co-Authors: Paschalis Tsiaflakis, François Glineur, Marc MoonenAbstract:Dynamic Spectrum Management is recognized as a key technique to tackle interference in multi-user multi-carrier communication systems and networks. However existing Dynamic Spectrum Management algorithms may not be suitable when the available computation time and compute power are limited, i.e., when a very fast responsiveness is required. In this paper, we present a new paradigm, theory and algorithm for real-time Dynamic Spectrum Management (RT-DSM). Specifically, a RT-DSM algorithm is real-time in the sense that it can be stopped at any point in time while guaranteeing a feasible and improved solution. This is enabled by the introduction of a novel difference-of-variables (DoV) transformation and problem reformulation, for which a primal coordinate ascent approach is proposed with exact line search via a logarithmically-scaled grid search. The proposed algorithm is referred to as iterative power difference balancing (IPDB). Simulations for different realistic wireline and wireless interference-limited systems demonstrate its good performance, low complexity and wide applicability under different configurations.
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Real-Time Dynamic Spectrum Management for Multi-User Multi-Carrier Communication Systems} \newcommandargmaxoperatornamewithlimits{argmax
IEEE Transactions on Communications, 2014Co-Authors: Paschalis Tsiaflakis, François Glineur, Marc MoonenAbstract:Dynamic Spectrum Management is recognized as a key technique to tackle interference in multi-user multi-carrier communication systems and networks. However existing Dynamic Spectrum Management algorithms may not be suitable when the available computation time and compute power are limited, i.e., when a very fast responsiveness is required. In this paper, we present a new paradigm, theory and algorithm for real-time Dynamic Spectrum Management (RT-DSM). Specifically, a RT-DSM algorithm is real-time in the sense that it can be stopped at any point in time while guaranteeing a feasible and improved solution. This is enabled by the introduction of a novel difference-of-variables (DoV) transformation and problem reformulation, for which a primal coordinate ascent approach is proposed with exact line search via a logarithmically-scaled grid search. The proposed algorithm is referred to as iterative power difference balancing (IPDB). Simulations for different realistic wireline and wireless interference-limited systems demonstrate its good performance, low complexity and wide applicability under different configurations.
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Real-time Dynamic Spectrum Management for multi-user multi-carrier communication systems
arXiv: Information Theory, 2013Co-Authors: Paschalis Tsiaflakis, François Glineur, Marc MoonenAbstract:Dynamic Spectrum Management is recognized as a key technique to tackle interference in multi-user multi-carrier communication systems and networks. However existing Dynamic Spectrum Management algorithms may not be suitable when the available computation time and compute power are limited, i.e., when a very fast responsiveness is required. In this paper, we present a new paradigm, theory and algorithm for real-time Dynamic Spectrum Management (RT-DSM) under tight real-time constraints. Specifically, a RT-DSM algorithm can be stopped at any point in time while guaranteeing a feasible and improved solution. This is enabled by the introduction of a novel difference-of-variables (DoV) transformation and problem reformulation, for which a primal coordinate ascent approach is proposed with exact line search via a logarithmicly scaled grid search. The concrete proposed algorithm is referred to as iterative power difference balancing (IPDB). Simulations for different realistic wireline and wireless interference limited systems demonstrate its good performance, low complexity and wide applicability under different configurations.
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Dynamic Spectrum Management in DSL with asynchronous crosstalk
2011 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2011Co-Authors: Rodrigo B Moraes, Paschalis Tsiaflakis, Marc MoonenAbstract:Dynamic Spectrum Management (DSM) aims to optimally al locate per-user transmit spectra so that the effect of multiuser interference (crosstalk) is minimized and the capabilities of the network are maximized. Work on DSM has progressed considerably over the past decade. Most of this work, however, deals with the idealized situation of perfect synchronization amongst the multiple users. This work deals with a more realistic albeit more difficult situation, i.e we consider the DSM problem with asynchronous crosstalk. We propose a novel solution for this problem, one that is mainly based on the approximate summability of the crosstalk damage ratio (CDR). Performance of the algorithm is assessed through numerical experiments and is shown to be better than the performance of state-of-the-art methods.
Ping Zhang - One of the best experts on this subject based on the ideXlab platform.
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Priority-Based Dynamic Spectrum Management in a Smart Grid Network Environment
IEEE Journal on Selected Areas in Communications, 2015Co-Authors: Zhiyong Feng, T. Aaron Gulliver, Ping ZhangAbstract:The heterogeneous smart grid (SG) poses two major challenges for wireless networks, namely, providing sufficient bandwidth for a wide variety of applications and high reliability for critical real-time applications. To address these challenges, the impact of communication outage on the demand response Management as a typical SG application is analyzed in this paper. A Dynamic Spectrum Management (DSM) technique is proposed to allocate resources, considering the QoS and application priorities. Vacant digital TV frequency bands are utilized to support SG applications. An algorithm to estimate the SG capacity is introduced, which can be applied to various user distributions and SG environments. This is used in conjunction with a low-complexity coloring theory algorithm to allocate the Spectrum. The results presented show that DSM provides better performance than traditional fixed Spectrum Management, in terms of QoS and secondary Spectrum utilization.
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A Cell Based Dynamic Spectrum Management Scheme with Interference Mitigation for Cognitive Networks
Wireless Personal Communications, 2008Co-Authors: Zhiyong Feng, Didier Bourse, Ping ZhangAbstract:Future wireless systems are expected to be characterized by the coexistence of different radio access technologies (RATs) resulting in complex heterogeneous wireless environments. In parallel with this, the tremendous demand for Spectrum has inspired the requirement of Dynamic Spectrum Management (DSM). This paper aims at designing a cell based Dynamic Spectrum Management (CBDSM) scheme to enhance the Spectrum utilization and maximize the profit of operators in wireless heterogeneous networks. The system architecture and the functional modules supporting the CBDSM scheme are designed. As a fundamental issue in Spectrum Management, the inter-system interference issue is solved in the proposed CBDSM scheme. Furthermore, game theory, which is a potential tool for studying the distributed autonomous resource optimization algorithms, is applied to design a Spectrum trading algorithm enabling the heterogeneous wireless networks to Dynamically trade Spectrum and to share the profit. In the algorithm, we take into account the economic value of the Spectrum of wireless systems in order to guarantee the rationality for the Spectrum trading. The simulation results show that the proposed CBDSM scheme effectively improves the Spectrum utilization and the profit of operators while it reduces the mutual interference between wireless networks to a tolerable level.
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a cell based Dynamic Spectrum Management scheme with interference mitigation for cognitive networks
Vehicular Technology Conference, 2008Co-Authors: Yuewei Lin, Zhiyong Feng, Xiaomeng Wang, Ping ZhangAbstract:The scarcity of Spectrum resource in future wireless networks has inspired the demand of Dynamic Spectrum Management (DSM). This paper investigates a cell based Dynamic Spectrum Management (CBDSM) scheme to enhance the Spectrum utilization and maximize the profit of operators for cognitive networks. In this scheme, the economic factor of the Spectrum is taken into account in order to guarantee the rationality for Spectrum trading. Especially, we focus on the interference mitigation method, which is considered as a fundamental issue for applying DSM to wireless systems. As a potential tool for promoting the distributed autonomous radio resource optimization algorithms, game theory is applied in the DSM scheme to investigate a win-win solution for Spectrum trading between RATs. The simulation results reveal that the proposed CBDSM scheme improves the Spectrum utilization and the profit of operators while effectively mitigating mutual interference between wireless networks.
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VTC Spring - A Cell Based Dynamic Spectrum Management Scheme with Interference Mitigation for Cognitive Networks
VTC Spring 2008 - IEEE Vehicular Technology Conference, 2008Co-Authors: Yuewei Lin, Zhiyong Feng, Xiaomeng Wang, Ping ZhangAbstract:The scarcity of Spectrum resource in future wireless networks has inspired the demand of Dynamic Spectrum Management (DSM). This paper investigates a cell based Dynamic Spectrum Management (CBDSM) scheme to enhance the Spectrum utilization and maximize the profit of operators for cognitive networks. In this scheme, the economic factor of the Spectrum is taken into account in order to guarantee the rationality for Spectrum trading. Especially, we focus on the interference mitigation method, which is considered as a fundamental issue for applying DSM to wireless systems. As a potential tool for promoting the distributed autonomous radio resource optimization algorithms, game theory is applied in the DSM scheme to investigate a win-win solution for Spectrum trading between RATs. The simulation results reveal that the proposed CBDSM scheme improves the Spectrum utilization and the profit of operators while effectively mitigating mutual interference between wireless networks.
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A Novel Market Competition Based Dynamic Spectrum Management Scheme in Reconfigurable Systems
2006 10th IEEE Singapore International Conference on Communication Systems, 2006Co-Authors: Miao Pan, Ruoju Liu, Xihai Han, Yongjing Zhang, Ping ZhangAbstract:B3G wireless networks are expected to be characterized by the pouring of different radio access technologies (RAT) and diversified service requirements. In parallel with this, the irreconcilable conflicts between the great demand for radio Spectrum and its scarcity bring the issues of Dynamic Spectrum Management (DSM) and efficiency in Spectrum utilization into our sight. This article aims to investigate the possibilities of a novel DSM scheme with the help of game theory in microeconomics. In the context of distributed reconfigurable networks in the charge of one operator, we propose market competition based Dynamic Spectrum Management (MCDSM) schemes based on multi-agent models. The competition mechanism, related technologies and proposed algorithm are also described in details. The study reveals that MCDSM scheme utilizes the Spectrum efficiently, enhances the fairness among different radio access networks (RAN) and maximizes the operator's profits.
T.a. Gulliver - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Spectrum Management for wcdma dvb heterogeneous systems
IEEE Transactions on Wireless Communications, 2011Co-Authors: Zhiyong Feng, T.a. GulliverAbstract:This paper proposes a novel Dynamic Spectrum Management (DSM) scheme for Wideband Code Division Multiple Access (WCDMA) / Digital Video Broadcasting (DVB) heterogeneous systems. Capacity estimation algorithms for both WCDMA and DVB are developed which consider both the user distribution and characteristics of the hybrid services. Based on these algorithms, a new Dynamic Spectrum allocation scheme is presented which allows for optimum allocation of resources and maximum secondary Spectrum usage. Coloring theory is used to significantly reduce DSM complexity while providing near-optimal performance. Numerical results are given which show that the proposed DSM scheme has better performance than Fixed Spectrum Management (FSM).
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Dynamic Spectrum Management for WCDMA/DVB Heterogeneous Systems
IEEE Transactions on Wireless Communications, 2011Co-Authors: Zhiyong Feng, T.a. GulliverAbstract:This paper proposes a novel Dynamic Spectrum Management (DSM) scheme for Wideband Code Division Multiple Access (WCDMA) / Digital Video Broadcasting (DVB) heterogeneous systems. Capacity estimation algorithms for both WCDMA and DVB are developed which consider both the user distribution and characteristics of the hybrid services. Based on these algorithms, a new Dynamic Spectrum allocation scheme is presented which allows for optimum allocation of resources and maximum secondary Spectrum usage. Coloring theory is used to significantly reduce DSM complexity while providing near-optimal performance. Numerical results are given which show that the proposed DSM scheme has better performance than Fixed Spectrum Management (FSM).
