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sss [2019/03/01 21:58]
lingjialiu
sss [2020/07/19 14:58]
lingjialiu
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 <WRAP justify> The continuing growth of mobile data applications is expected to trigger a large increase in mobile traffic over the next decade. Direct device-to-device (D2D) communications between user devices that offload cellular network traffic has a great potential to be an integral part of the solution to address this mobile data challenge. In this project, the researchers will introduce a novel spectrum access model, called sensing-based D2D communication,​ to significantly improve the overall network spectral-efficiency of a mobile broadband network. In sensing-based D2D, users utilize spatial spectrum sensing to explore temporal and spatial spectrum transmission opportunities within the underlying cellular network bands. Equipped with spatial spectrum sensing, these users can efficiently utilize the available non-occupied cellular spectrum while providing enough protection to legacy base-station-to-device users. This project will result in a new enabling technology for future mobile broadband networks and will also effectively enrich educational materials by providing software and hardware-based implementation and experimental activities. <WRAP justify> The continuing growth of mobile data applications is expected to trigger a large increase in mobile traffic over the next decade. Direct device-to-device (D2D) communications between user devices that offload cellular network traffic has a great potential to be an integral part of the solution to address this mobile data challenge. In this project, the researchers will introduce a novel spectrum access model, called sensing-based D2D communication,​ to significantly improve the overall network spectral-efficiency of a mobile broadband network. In sensing-based D2D, users utilize spatial spectrum sensing to explore temporal and spatial spectrum transmission opportunities within the underlying cellular network bands. Equipped with spatial spectrum sensing, these users can efficiently utilize the available non-occupied cellular spectrum while providing enough protection to legacy base-station-to-device users. This project will result in a new enabling technology for future mobile broadband networks and will also effectively enrich educational materials by providing software and hardware-based implementation and experimental activities.
  
-{{ :​cluster_d2d.jpg?​600 |}}+{{ :​cluster_d2d.jpg?​400 |}}
  
 The research project has three interconnected thrusts. In the first thrust, a comprehensive framework for both theoretical analysis and practical design of sensing-based D2D that connects the user-driven spatial spectrum sensing to the overall network performance will be developed, using detection theory and stochastic geometry. In the second thrust, optimal system design and resource allocation of sensing-based D2D will be identified. Existing techniques, such as distributed caching and millimeter wave communications,​ will be integrated into sensing-based D2D. In the third thrust, the performance of the developed schemes will be evaluated using both software and hardware test-beds to obtain ideas on real-world performance. The key aspect of the proposed research is that the success of the project will lead to a big shift from currently popular design methodologies used for wireless networks and can provide a comprehensive response to mobile data growth challenge under realistic system assumptions. The research project has three interconnected thrusts. In the first thrust, a comprehensive framework for both theoretical analysis and practical design of sensing-based D2D that connects the user-driven spatial spectrum sensing to the overall network performance will be developed, using detection theory and stochastic geometry. In the second thrust, optimal system design and resource allocation of sensing-based D2D will be identified. Existing techniques, such as distributed caching and millimeter wave communications,​ will be integrated into sensing-based D2D. In the third thrust, the performance of the developed schemes will be evaluated using both software and hardware test-beds to obtain ideas on real-world performance. The key aspect of the proposed research is that the success of the project will lead to a big shift from currently popular design methodologies used for wireless networks and can provide a comprehensive response to mobile data growth challenge under realistic system assumptions.
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 <WRAP justify> ​ <WRAP justify> ​
-  * Y. Li, L. Liu, H. Li, J. Zhang, and Y. Yi, "​Resource Allocation for Delay-Sensitive Traffic over LTE-Advanced Relay Networks,"​ //IEEE Trans. on Wireless Commun.//, vol. 14, no. 8, pp. 4291-4303, Aug. 2015. 
  
-  * B. Ning, S. Yang, L. Liu, and YLu, "Resource allocation ​for OFDM cognitive radio with enhanced primary transmission protection"//IEEE Commun. Lett.//, vol. 18, no. 11, pp. 2027-2030, Nov. 2014.+  * B. Shang, L. Liu, R. M. Rao, V. Marojevic ​and JH. Reed, "3D Spectrum Sharing ​for Hybrid D2D and UAV Networks," ​accepted to //​IEEE ​Trans. ​Commun.//
  
-  * GRu, H. Li, and L. Liu, "​Energy ​efficiency of hybrid cellular with heterogeneous QoS provisions"//​IEEE ​Communi. Lett.//, vol. 18, no. 6, pp. 1003-1006, Jun. 2014.+  * BShang and L. Liu, "Mobile Edge Computing in the Sky: Energy ​Optimization for Air-Ground Integrated Networks," ​accepted to //​IEEE ​Internet Things J.//
  
-  * LLiu, Y. Yi, J.-FChamberland, ​and JZhang, "Energy-Efficient Power Allocation ​for Delay-Sensitive Multimedia Traffic over Wireless Systems". Special Section on **Green Mobile Multimedia Communications** of the //​IEEE ​Trans. on Veh. Technol.//, vol. 63, no. 5, pp. 2038-2047Jun. 2014.+  * BShang, V. Marojevic, Y. Yi, ASAbdalla ​and LLiu, "Spectrum Sharing ​for UAV Communications:​ Spatial Spectrum Sensing and Open Issues," //IEEE Veh. Technol. Mag.//, vol. 15, no. 2, pp. 104-112June 2020.
  
-  * TTranH. Li, GRuRKerczewski, L. Liu, S. Khan, "[[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?​arnumber=6552836|Secure Wireless Multicast for Delay-Sensitive ​Data via Network ​Coding]]"//​IEEE ​Transon Wireless ​Commun.//, vol. 12, no. 7, pp. 3372-3387Jul2013.+  * AAkhtarJ. Ma, R. Shafin, J. Bai, L. Li, ZLiand LLiu, "Low Latency Scalable Point Cloud Communication in VANETs using V2I Communication",​ 2019 //IEEE Intl Conf. on Commun.// (ICC), Shanghai, China, 2019, pp. 1-7. 
 + 
 +  * H. Song, L. Liu, H. Chang, J. Ashdown, and Y. Yi, "Deep Q-Network Based Power Allocation Meets Reservoir Computing in Distributed Dynamic Spectrum,"​ 2019 //IEEE Conf. on Computer Commun. Workshops// (INFOCOM WKSHPS), Paris, France, pp. 774-779. 
 + 
 +  * F. Mahmood, E. Perrins and L. Liu, "​Energy-Efficient Wireless Communications:​ From Energy Modeling to Performance Evaluation,"​ accepted to //IEEE Trans. Veh. Technol.//, 2019. 
 + 
 +  * H. Chen, L. Liu, H. S. Dhillon and Y. Yi, "QoS-Aware D2D Cellular Networks with Spatial Spectrum SensingA Stochastic Geometry View," ​//IEEE Transon Commun.//, vol67, no. 5, pp. 3651-3664, May 2019. 
 + 
 +  * C. Sahin, L. Liu, E. Perrins, and L. Ma, "Delay-Sensitive ​Communications over IR-HARQ: Modulation, ​Coding ​Latency, and Reliability", Special Issue on Ultra-Reliable Low-Latency Communications in Wireless Networks, ​//​IEEE ​JSel. Area Commun.//, vol. 37, no. 4, pp. 749 764April 2019. 
 + 
 +  * R. Atat, L. Liu, J. Wu, G. Li, C. Ye and Y. Yang, "Big Data Meet Cyber-Physical Systems: A Panoramic Survey,"​ //IEEE Access//, vol. 6, pp. 73603-73636,​ 2018. 
 + 
 +  * R. Atat, J. Ma, H. Chen, U. Lee, J. Ashdown and L. Liu, "​Cognitive relay networks with energy and mutual-information accumulation,"​ 2018 //IEEE Conf. on Computer Commun. Workshops// (INFOCOM WKSHPS), Honolulu, HI, April 2018, pp. 640-644.
  
-  * Y. Li, L. Liu, H. Li, Y. Li, and Y. Yi, "​Adaptive Resource Allocation for Heterogeneous Traffic over Heterogeneous Relay Networks"​. 2013 //IEEE International Conference on Communications//​ (ICC’13), pp. 5431-5436, Jun. 2013. 
 </​WRAP>​ </​WRAP>​
sss.txt · Last modified: 2022/10/21 16:02 by lingjialiu