The Experts below are selected from a list of 48708 Experts worldwide ranked by ideXlab platform
Dongdong Jiang - One of the best experts on this subject based on the ideXlab platform.
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analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks
IEEE Transactions on Wireless Communications, 2017Co-Authors: Ying Cui, Dongdong JiangAbstract:Heterogeneous wireless networks (HetNets) provide a powerful approach to meeting the dramatic mobile traffic growth, but also impose a significant challenge on backhaul. Caching and multicasting at macro and pico base stations (BSs) are two promising methods to support massive content delivery and reduce backhaul load in HetNets. In this paper, we jointly consider caching and multicasting in a large-scale cache-enabled HetNet with backhaul constraints. We propose a hybrid caching design consisting of identical caching in the macro-tier and random caching in the pico-tier, and a corresponding multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive tractable expressions for the Successful Transmission probability in the general signal-to-noise ratio (SNR) and user density region as well as the high SNR and user density region, utilizing tools from stochastic geometry. Then, we consider the Successful Transmission probability maximization by optimizing design parameters, which is a very challenging mixed discrete-continuous optimization problem. By exploring structural properties, we obtain a near optimal solution with superior performance and manageable complexity. This solution achieves better performance in the general region than any asymptotically optimal solution, under a mild condition. The analysis and optimization results provide valuable design insights for practical cache-enabled HetNets.
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analysis and optimization of caching and multicasting in large scale cache enabled wireless networks
IEEE Transactions on Wireless Communications, 2016Co-Authors: Ying Cui, Dongdong JiangAbstract:Caching and multicasting at base stations are two promising approaches to supporting massive content delivery over wireless networks. However, existing analysis and designs do not fully explore and exploit the potential advantages of the two approaches. In this paper, we consider the analysis and optimization of caching and multicasting in a large-scale cache-enabled wireless network. We propose a random caching and multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive a tractable expression for the Successful Transmission probability in the general region, utilizing tools from stochastic geometry. We also obtain a closed-form expression for the Successful Transmission probability in the high signal-to-noise ratio (SNR) and user density region. Then, we consider the Successful Transmission probability maximization, which is a very complex nonconvex problem in general. Using optimization techniques, we develop an iterative numerical algorithm to obtain a local optimal caching and multicasting design in the general region. To reduce complexity and maintain superior performance, we also derive an asymptotically optimal caching and multicasting design in the asymptotic region, based on a two-stage optimization framework. Finally, numerical simulations show that the asymptotically optimal design achieves a significant gain in Successful Transmission probability over some baseline schemes in the general region.
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analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks
arXiv: Information Theory, 2016Co-Authors: Ying Cui, Dongdong JiangAbstract:Heterogeneous wireless networks (HetNets) provide a powerful approach to meet the dramatic mobile traffic growth, but also impose a significant challenge on backhaul. Caching and multicasting at macro and pico base stations (BSs) are two promising methods to support massive content delivery and reduce backhaul load in HetNets. In this paper, we jointly consider caching and multicasting in a large-scale cache-enabled HetNet with backhaul constraints. We propose a hybrid caching design consisting of identical caching in the macro-tier and random caching in the pico-tier, and a corresponding multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive tractable expressions for the Successful Transmission probability in the general region as well as the high signal-to-noise ratio (SNR) and user density region, utilizing tools from stochastic geometry. Then, we consider the Successful Transmission probability maximization by optimizing the design parameters, which is a very challenging mixed discrete-continuous optimization problem due to the sophisticated structure of the Successful Transmission probability. By using optimization techniques and exploring the structural properties, we obtain a near optimal solution with superior performance and manageable complexity. This solution achieves better performance in the general region than any asymptotically optimal solution, under a mild condition. The analysis and optimization results provide valuable design insights for practical cache-enabled HetNets.
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analysis and optimization of caching and multicasting in large scale cache enabled wireless networks
arXiv: Information Theory, 2015Co-Authors: Ying Cui, Dongdong JiangAbstract:Caching and multicasting at base stations are two promising approaches to support massive content delivery over wireless networks. However, existing analysis and designs do not fully explore and exploit the potential advantages of the two approaches. In this paper, we consider the analysis and optimization of caching and multicasting in a large-scale cache-enabled wireless network. We propose a random caching and multicasting scheme with a design parameter. By carefully handling different types of interferers and adopting appropriate approximations, we derive a tractable expression for the Successful Transmission probability in the general region, utilizing tools from stochastic geometry. We also obtain a closed-form expression for the Successful Transmission probability in the high signal-to-noise ratio (SNR) and user density region. Then, we consider the Successful Transmission probability maximization, which is a very complex non-convex problem in general. Using optimization techniques, we develop an iterative numerical algorithm to obtain a local optimal caching and multicasting design in the general region. To reduce complexity and maintain superior performance, we also derive an asymptotically optimal caching and multicasting design in the asymptotic region, based on a two-step optimization framework. Finally, numerical simulations show that the asymptotically optimal design achieves a significant gain in Successful Transmission probability over some baseline schemes in the general region.
Ying Cui - One of the best experts on this subject based on the ideXlab platform.
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temporal spatial request aggregation for cache enabled wireless multicasting networks
Global Communications Conference, 2017Co-Authors: Jifang Xing, Ying Cui, Vincent K N LauAbstract:Existing multicasting schemes for massive content delivery do not fully utilize multicasting opportunities in elastic content-oriented services. In this paper, we propose a novel temporal-spatial request aggregation-based multicasting scheme in a large-scale cache-enabled wireless network, which can effectively exploit multicasting opportunities in asynchronous file requests for elastic services to improve spectral efficiency. Utilizing tools from stochastic geometry, we derive tractable expressions for the Successful Transmission probability. The analytical results show that the Successful Transmission probability increases and the energy consumption decreases, at the cost of delay increase, in the large and small user density regions. Based on the analytical results, we further optimize the Successful Transmission probability with respect to the caching probability and BS on/off period. We obtain closed-form solutions in the two asymptotic regions. Finally, we characterize the temporal and spatial request aggregation gains in the two asymptotic regions， and reveal the impacts of the popularity profile on them.
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analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks
IEEE Transactions on Wireless Communications, 2017Co-Authors: Ying Cui, Dongdong JiangAbstract:Heterogeneous wireless networks (HetNets) provide a powerful approach to meeting the dramatic mobile traffic growth, but also impose a significant challenge on backhaul. Caching and multicasting at macro and pico base stations (BSs) are two promising methods to support massive content delivery and reduce backhaul load in HetNets. In this paper, we jointly consider caching and multicasting in a large-scale cache-enabled HetNet with backhaul constraints. We propose a hybrid caching design consisting of identical caching in the macro-tier and random caching in the pico-tier, and a corresponding multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive tractable expressions for the Successful Transmission probability in the general signal-to-noise ratio (SNR) and user density region as well as the high SNR and user density region, utilizing tools from stochastic geometry. Then, we consider the Successful Transmission probability maximization by optimizing design parameters, which is a very challenging mixed discrete-continuous optimization problem. By exploring structural properties, we obtain a near optimal solution with superior performance and manageable complexity. This solution achieves better performance in the general region than any asymptotically optimal solution, under a mild condition. The analysis and optimization results provide valuable design insights for practical cache-enabled HetNets.
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analysis and optimization of caching and multicasting in large scale cache enabled wireless networks
IEEE Transactions on Wireless Communications, 2016Co-Authors: Ying Cui, Dongdong JiangAbstract:Caching and multicasting at base stations are two promising approaches to supporting massive content delivery over wireless networks. However, existing analysis and designs do not fully explore and exploit the potential advantages of the two approaches. In this paper, we consider the analysis and optimization of caching and multicasting in a large-scale cache-enabled wireless network. We propose a random caching and multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive a tractable expression for the Successful Transmission probability in the general region, utilizing tools from stochastic geometry. We also obtain a closed-form expression for the Successful Transmission probability in the high signal-to-noise ratio (SNR) and user density region. Then, we consider the Successful Transmission probability maximization, which is a very complex nonconvex problem in general. Using optimization techniques, we develop an iterative numerical algorithm to obtain a local optimal caching and multicasting design in the general region. To reduce complexity and maintain superior performance, we also derive an asymptotically optimal caching and multicasting design in the asymptotic region, based on a two-stage optimization framework. Finally, numerical simulations show that the asymptotically optimal design achieves a significant gain in Successful Transmission probability over some baseline schemes in the general region.
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analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks
arXiv: Information Theory, 2016Co-Authors: Ying Cui, Dongdong JiangAbstract:Heterogeneous wireless networks (HetNets) provide a powerful approach to meet the dramatic mobile traffic growth, but also impose a significant challenge on backhaul. Caching and multicasting at macro and pico base stations (BSs) are two promising methods to support massive content delivery and reduce backhaul load in HetNets. In this paper, we jointly consider caching and multicasting in a large-scale cache-enabled HetNet with backhaul constraints. We propose a hybrid caching design consisting of identical caching in the macro-tier and random caching in the pico-tier, and a corresponding multicasting design. By carefully handling different types of interferers and adopting appropriate approximations, we derive tractable expressions for the Successful Transmission probability in the general region as well as the high signal-to-noise ratio (SNR) and user density region, utilizing tools from stochastic geometry. Then, we consider the Successful Transmission probability maximization by optimizing the design parameters, which is a very challenging mixed discrete-continuous optimization problem due to the sophisticated structure of the Successful Transmission probability. By using optimization techniques and exploring the structural properties, we obtain a near optimal solution with superior performance and manageable complexity. This solution achieves better performance in the general region than any asymptotically optimal solution, under a mild condition. The analysis and optimization results provide valuable design insights for practical cache-enabled HetNets.
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analysis and optimization of caching and multicasting in large scale cache enabled wireless networks
arXiv: Information Theory, 2015Co-Authors: Ying Cui, Dongdong JiangAbstract:Caching and multicasting at base stations are two promising approaches to support massive content delivery over wireless networks. However, existing analysis and designs do not fully explore and exploit the potential advantages of the two approaches. In this paper, we consider the analysis and optimization of caching and multicasting in a large-scale cache-enabled wireless network. We propose a random caching and multicasting scheme with a design parameter. By carefully handling different types of interferers and adopting appropriate approximations, we derive a tractable expression for the Successful Transmission probability in the general region, utilizing tools from stochastic geometry. We also obtain a closed-form expression for the Successful Transmission probability in the high signal-to-noise ratio (SNR) and user density region. Then, we consider the Successful Transmission probability maximization, which is a very complex non-convex problem in general. Using optimization techniques, we develop an iterative numerical algorithm to obtain a local optimal caching and multicasting design in the general region. To reduce complexity and maintain superior performance, we also derive an asymptotically optimal caching and multicasting design in the asymptotic region, based on a two-step optimization framework. Finally, numerical simulations show that the asymptotically optimal design achieves a significant gain in Successful Transmission probability over some baseline schemes in the general region.
Vincent K N Lau - One of the best experts on this subject based on the ideXlab platform.
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joint frequency reuse and cache optimization in backhaul limited small cell wireless networks
arXiv: Signal Processing, 2018Co-Authors: Wei Han, An Liu, Vincent K N LauAbstract:Caching at base stations (BSs) is a promising approach for supporting the tremendous traffic growth of content delivery over future small-cell wireless networks with limited backhaul. This paper considers exploiting spatial caching diversity (i.e., caching different subsets of popular content files at neighboring BSs) that can greatly improve the cache hit probability, thereby leading to a better overall system performance. A key issue in exploiting spatial caching diversity is that the cached content may not be located at the nearest BS, which means that to access such content, a user needs to overcome strong interference from the nearby BSs; this significantly limits the gain of spatial caching diversity. In this paper, we consider a joint design of frequency reuse and caching, such that the benefit of an improved cache hit probability induced by spatial caching diversity and the benefit of interference coordination induced by frequency reuse can be achieved simultaneously. We obtain a closed-form characterization of the approximate Successful Transmission probability for the proposed scheme and analyze the impact of key operating parameters on the performance. We design a low-complexity algorithm to optimize the frequency reuse factor and the cache storage allocation. Simulations show that the proposed scheme achieves a higher Successful Transmission probability than existing caching schemes.
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temporal spatial request aggregation for cache enabled wireless multicasting networks
Global Communications Conference, 2017Co-Authors: Jifang Xing, Ying Cui, Vincent K N LauAbstract:Existing multicasting schemes for massive content delivery do not fully utilize multicasting opportunities in elastic content-oriented services. In this paper, we propose a novel temporal-spatial request aggregation-based multicasting scheme in a large-scale cache-enabled wireless network, which can effectively exploit multicasting opportunities in asynchronous file requests for elastic services to improve spectral efficiency. Utilizing tools from stochastic geometry, we derive tractable expressions for the Successful Transmission probability. The analytical results show that the Successful Transmission probability increases and the energy consumption decreases, at the cost of delay increase, in the large and small user density regions. Based on the analytical results, we further optimize the Successful Transmission probability with respect to the caching probability and BS on/off period. We obtain closed-form solutions in the two asymptotic regions. Finally, we characterize the temporal and spatial request aggregation gains in the two asymptotic regions， and reveal the impacts of the popularity profile on them.
Joseph D Touch - One of the best experts on this subject based on the ideXlab platform.
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demonstration of tunable optical generation of higher order modulation formats using nonlinearities and coherent frequency comb
Optics Letters, 2014Co-Authors: Mohammad Reza Chitgarha, Salman Khaleghi, Morteza Ziyadi, Ahmed Almaiman, Amirhossein Mohajerinariaei, Ori Gerstel, Loukas Paraschis, Carsten Langrock, Martin M Fejer, Joseph D TouchAbstract:We demonstrate a tunable, optical generation scheme of higher-order modulation formats including pulse amplitude modulation (PAM) and quadrature amplitude modulation (QAM). Using this method, 100.4 Gbit/s 16-QAM and 120 Gbit/s 64-QAM were generated from 50.2 and 40 Gbit/s QPSK signals at EVMs of 7.8% and 6.4%, and 60 Gbit/s 8-PAM were generated at an EVM of 8.1% using three 20-Gbit/s BPSK signals. We also demonstrated a Successful Transmission of 80 Gbit/s 16-QAM through 80 km SMF-28 after compensating with 20 km DCF. All signals were generated, transmitted, and detected with BER below the forward error correction threshold.
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demonstration of tunable optical generation of higher order modulation formats using nonlinearities and coherent frequency comb
Conference on Lasers and Electro-Optics, 2013Co-Authors: Mohammad Reza Chitgarha, Salman Khaleghi, Morteza Ziyadi, Ahmed Almaiman, Amirhossein Mohajerinariaei, Ori Gerstel, Loukas Paraschis, Carsten Langrock, Martin M Fejer, Joseph D TouchAbstract:We demonstrate the generation of optical 16-QAM and 64-QAM at EVM 6.8% and 6.4% respectively using nonlinearities and coherent frequency comb. We also demonstrated a Successful Transmission through 80-km SMF-28 after compensating with 20-km DCF with negligible penalty.
Zhaolin Zhang - One of the best experts on this subject based on the ideXlab platform.
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cross layer model design in wireless ad hoc networks for the internet of things
PLOS ONE, 2018Co-Authors: Xin Yang, Ling Wang, Zhaolin ZhangAbstract:Wireless ad hoc networks can experience extreme fluctuations in Transmission traffic in the Internet of Things, which is widely used today. Currently, the most crucial issues requiring attention for wireless ad hoc networks are making the best use of low traffic periods, reducing congestion during high traffic periods, and improving Transmission performance. To solve these problems, the present paper proposes a novel cross-layer Transmission model based on decentralized coded caching in the physical layer and a content division multiplexing scheme in the media access control layer. Simulation results demonstrate that the proposed model effectively addresses these issues by substantially increasing the throughput and Successful Transmission rate compared to existing protocols without a negative influence on delay, particularly for large scale networks under conditions of highly contrasting high and low traffic periods.
