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Changchuan Yin - One of the best experts on this subject based on the ideXlab platform.
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Simulation Study of Transmission Capacities for Overlaid Wireless Ad Hoc Networks
Advanced Materials Research, 2012Co-Authors: Dan Liu, Shi Yuan Niu, Changchuan YinAbstract:Transmission capacity has been defined in prior literature as an insightful metric for the Transmission capability of the wireless networks. In general, it is hard to derive the analytical results for the Transmission capacity without employing asymptotic analysis or bounding techniques. In this paper, we study the Transmission capacity for overlaid wireless ad hoc networks by using computer simulation for the non-asymptotic case. We consider the scenario where a primary network (PR) and a secondary (SR) network coexist in the same geographic region and share the same spectrum, while the PR network has a higher priority to access the spectrum and the SR network limits its interference to the PR network by controlling its Transmission intensity. We first present a simulation algorithm, then show that the simulation results conforms well to some known analytical results. We proved that with a small increment of the outage probability for the PR network, the sum Transmission capacity of the overlaid network has a great gain over that of a single network. And with power control, the sum Transmission capacity of the overlaid network will be improved compared to that without power control.
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Transmission Capacities for overlaid wireless networks with channel inversion based power control
International Conference on Wireless Communications and Signal Processing, 2010Co-Authors: Changchuan Yin, Changhai ChenAbstract:We study the effect of channel inversion based power control on the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering a general power-law wireless channels with path-loss exponent a > 2 and small-scale Rayleigh fading, by using stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that when the transmitter densities for both of the PR and SR networks are vanishingly small, with power control the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be increased compared to that without power control, which is different from the recent result observed by Weber et al in [1] for a single network case when the transmitter density is relatively large.1
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generalized results of Transmission Capacities for overlaid wireless networks
International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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Transmission Capacities for overlaid wireless ad hoc networks with outage constraints
International Conference on Communications, 2009Co-Authors: Changchuan Yin, Tie Liu, Long Gao, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. We define Transmission capacity as the product among the density of Transmissions, the Transmission rate, and the successful Transmission probability (1 minus the outage probability). The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Assuming that the nodes are distributed according to Poisson point processes and the two networks use different Transmission ranges, we quantify the Transmission Capacities for both of these two networks and discuss their tradeoff based on asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network.
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Transmission Capacities for overlaid spread-spectrum wireless networks
2009 IEEE International Conference on Communications Technology and Applications, 2009Co-Authors: Changchuan YinAbstract:In this paper, the Transmission Capacities of two coexisting wireless networks (primary network and secondary network) in the same geographic region and sharing the same spectrum are derived. The primary (PR) network has a higher priority to access the spectrum, while the secondary (SR) network limits its interference to the PR network by controlling its Transmission intensity. Considering spread-spectrum Transmission, frequency hopping (FH-CDMA) and direct sequence (DS-CDMA), we derive the Transmission Capacities for PR and SR networks, which incorporate no spreading as a special case. Extend our results in Refs. [1,2] to a more general case. Our results show that the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) is boosted significantly over that of a single network, and the Transmission capacity gain is larger than that of no spreading case.
Shuguang Cui - One of the best experts on this subject based on the ideXlab platform.
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generalized results of Transmission Capacities for overlaid wireless networks
International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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Transmission Capacities for overlaid wireless ad hoc networks with outage constraints
International Conference on Communications, 2009Co-Authors: Changchuan Yin, Tie Liu, Long Gao, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. We define Transmission capacity as the product among the density of Transmissions, the Transmission rate, and the successful Transmission probability (1 minus the outage probability). The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Assuming that the nodes are distributed according to Poisson point processes and the two networks use different Transmission ranges, we quantify the Transmission Capacities for both of these two networks and discuss their tradeoff based on asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network.
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ISIT - Generalized results of Transmission Capacities for overlaid wireless networks
2009 IEEE International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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Transmission Capacities for Overlaid Wireless Ad Hoc Networks with Outage Constraints
2009 IEEE International Conference on Communications, 2009Co-Authors: Changchuan Yin, Tie Liu, Long Gao, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. We define Transmission capacity as the product among the density of Transmissions, the Transmission rate, and the successful Transmission probability (1 minus the outage probability). The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Assuming that the nodes are distributed according to Poisson point processes and the two networks use different Transmission ranges, we quantify the Transmission Capacities for both of these two networks and discuss their tradeoff based on asymptotic analyses. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network.
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Stable distribution based analysis of Transmission Capacities for overlaid wireless networks
2009 International Conference on Wireless Communications & Signal Processing, 2009Co-Authors: Changchuan Yin, Changhai Chen, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum, where the primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, and the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Considering a general deterministic power-law channel model with a path-loss exponent α>2 and a constant Transmission power, by applying the stable distribution theory and asymptotic analysis, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff. Numerical results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity across the two networks (i.e., the overall spectrum efficiency per unit area) could be boosted significantly over that of a single network, which generalizes our previous results in [1] over a special case with a path-loss exponent α=4. By further comparing with our earlier results in [2], we find that Rayleigh fading can enhance the Transmission capacity gain of the overlaid networks over that of a stand-alone PR network.
Tie Liu - One of the best experts on this subject based on the ideXlab platform.
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generalized results of Transmission Capacities for overlaid wireless networks
International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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Transmission Capacities for overlaid wireless ad hoc networks with outage constraints
International Conference on Communications, 2009Co-Authors: Changchuan Yin, Tie Liu, Long Gao, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. We define Transmission capacity as the product among the density of Transmissions, the Transmission rate, and the successful Transmission probability (1 minus the outage probability). The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Assuming that the nodes are distributed according to Poisson point processes and the two networks use different Transmission ranges, we quantify the Transmission Capacities for both of these two networks and discuss their tradeoff based on asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network.
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ISIT - Generalized results of Transmission Capacities for overlaid wireless networks
2009 IEEE International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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Transmission Capacities for Overlaid Wireless Ad Hoc Networks with Outage Constraints
2009 IEEE International Conference on Communications, 2009Co-Authors: Changchuan Yin, Tie Liu, Long Gao, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. We define Transmission capacity as the product among the density of Transmissions, the Transmission rate, and the successful Transmission probability (1 minus the outage probability). The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Assuming that the nodes are distributed according to Poisson point processes and the two networks use different Transmission ranges, we quantify the Transmission Capacities for both of these two networks and discuss their tradeoff based on asymptotic analyses. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network.
Janis Notzel - One of the best experts on this subject based on the ideXlab platform.
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arbitrarily small amounts of correlation for arbitrarily varying quantum channels
Journal of Mathematical Physics, 2013Co-Authors: Holger Boche, Janis NotzelAbstract:As our main result show that in order to achieve the randomness assisted message and entanglement Transmission Capacities of a finite arbitrarily varying quantum channel it is not necessary that sender and receiver share (asymptotically perfect) common randomness. Rather, it is sufficient that they each have access to an unlimited amount of uses of one part of a correlated bipartite source. This access might be restricted to an arbitrary small (nonzero) fraction per channel use, without changing the main result. We investigate the notion of common randomness. It turns out that this is a very costly resource – generically, it cannot be obtained just by local processing of a bipartite source. This result underlines the importance of our main result. Also, the asymptotic equivalence of the maximal- and average error criterion for classical message Transmission over finite arbitrarily varying quantum channels is proven. At last, we prove a simplified symmetrizability condition for finite arbitrarily varying q...
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arbitrarily small amounts of correlation for arbitrarily varying quantum channels
International Symposium on Information Theory, 2013Co-Authors: Holger Boche, Janis NotzelAbstract:As our main result we show that, in order to achieve the randomness assisted message - and entanglement Transmission Capacities of a finite arbitrarily varying quantum channel it is not necessary that sender and receiver share (asymptotically perfect) common randomness. Rather, it is sufficient that they each have access to an unlimited amount of uses of one part of a correlated bipartite source. This access might be restricted to an arbitrary small (nonzero) fraction per channel use, without changing the main result. We investigate the notion of common randomness. It turns out that this is a very costly resource - generically, it cannot be obtained just by local processing of a bipartite source. This result underlines the importance of our main result. Also, the asymptotic equivalence of the maximal- and average error criterion for classical message Transmission over finite arbitrarily varying quantum channels is proven. At last, we prove a simplified symmetrizability condition for finite arbitrarily varying quantum channels.
Changhai Chen - One of the best experts on this subject based on the ideXlab platform.
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Transmission Capacities for overlaid wireless networks with channel inversion based power control
International Conference on Wireless Communications and Signal Processing, 2010Co-Authors: Changchuan Yin, Changhai ChenAbstract:We study the effect of channel inversion based power control on the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering a general power-law wireless channels with path-loss exponent a > 2 and small-scale Rayleigh fading, by using stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that when the transmitter densities for both of the PR and SR networks are vanishingly small, with power control the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be increased compared to that without power control, which is different from the recent result observed by Weber et al in [1] for a single network case when the transmitter density is relatively large.1
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generalized results of Transmission Capacities for overlaid wireless networks
International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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ISIT - Generalized results of Transmission Capacities for overlaid wireless networks
2009 IEEE International Symposium on Information Theory, 2009Co-Authors: Changchuan Yin, Changhai Chen, Tie Liu, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum. The primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, where the SR network limits its interference to the PR network by carefully controlling its node density. Considering general power-law wireless channels with path-loss exponent α ≫ 2 and small-scale Rayleigh fading, based on the stochastic geometry theory, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff via asymptotic analysis. Our results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity of the two networks (i.e., the overall spectrum efficiency per unit area) will be boosted significantly over that of a single network, which generalizes our previous result in [1] over a special case of deterministic power-law channel with α = 4.
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Stable distribution based analysis of Transmission Capacities for overlaid wireless networks
2009 International Conference on Wireless Communications & Signal Processing, 2009Co-Authors: Changchuan Yin, Changhai Chen, Shuguang CuiAbstract:We study the Transmission Capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum, where the primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, and the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Considering a general deterministic power-law channel model with a path-loss exponent α>2 and a constant Transmission power, by applying the stable distribution theory and asymptotic analysis, we derive the Transmission Capacities for both of the two networks and quantify their tradeoff. Numerical results show that if the PR network permits a small increase of its outage probability, the sum Transmission capacity across the two networks (i.e., the overall spectrum efficiency per unit area) could be boosted significantly over that of a single network, which generalizes our previous results in [1] over a special case with a path-loss exponent α=4. By further comparing with our earlier results in [2], we find that Rayleigh fading can enhance the Transmission capacity gain of the overlaid networks over that of a stand-alone PR network.
