Federated edge learning(FEEL)technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users.In the FEEL system,vehicles upload data to t...Federated edge learning(FEEL)technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users.In the FEEL system,vehicles upload data to the edge servers,which train the vehicles’data to update local models and then return the result to vehicles to avoid sharing the original data.However,the cache queue in the edge is limited and the channel between edge server and each vehicle is time-varying.Thus,it is challenging to select a suitable number of vehicles to ensure that the uploaded data can keep a stable cache queue in edge server while maximizing the learning accuracy.Moreover,selecting vehicles with different resource statuses to update data will affect the total amount of data involved in training,which further affects the model accuracy.In this paper,we propose a vehicle selection scheme,which maximizes the learning accuracy while ensuring the stability of the cache queue,where the statuses of all the vehicles in the coverage of edge server are taken into account.The performance of this scheme is evaluated through simulation experiments,which indicates that our proposed scheme can perform better than the known benchmark scheme.展开更多
This paper discusses SHVC, the scalable extension of the High Efficiency Video Coding (HEVC) standard, and its applications in broadcasting and wireless broadband multimedia services. SHVC was published as part of the...This paper discusses SHVC, the scalable extension of the High Efficiency Video Coding (HEVC) standard, and its applications in broadcasting and wireless broadband multimedia services. SHVC was published as part of the second version of the HEVC specifi?cation in 2014. Since its publication, SHVC has been evaluated by application standards development organizations (SDOs) for its potential benefits in video applications, such as terrestrial and mobile broadcasting in ATSC 3.0, as well as a variety of 3GPP mul?timedia services, including multi?party multi?stream video conferencing (MMVC), multimedia broadcast/multicast service (MBMS), and dynamic adaptive streaming over HTTP (DASH). This paper provides a brief overview of SHVC and the performance and com?plexity analyses of using SHVC in these video applications.展开更多
A sensor scheduling problem was considered for a class of hybrid systems named as the stochastic linear hybrid system (SLHS). An algorithm was proposed to select one (or a group of) sensor at each time from a set of s...A sensor scheduling problem was considered for a class of hybrid systems named as the stochastic linear hybrid system (SLHS). An algorithm was proposed to select one (or a group of) sensor at each time from a set of sensors. Then, a hybrid estimation algorithm was designed to compute the estimates of the continuous and discrete states of the SLHS based on the observations from the selected sensors. As the sensor scheduling algorithm is designed such that the Bayesian decision risk is minimized, the true discrete state can be better identified. Moreover, the continuous state estimation performance of the proposed algorithm is better than that of hybrid estimation algorithms using only predetermined sensors. Finally, the algorithms are validated through an illustrative target tracking example.展开更多
Load balancing is typically used in the frequency domain of cellular wireless networks to balance paging, access, and traffic load across the available bandwidth. In this paper, we extend load balancing into the spati...Load balancing is typically used in the frequency domain of cellular wireless networks to balance paging, access, and traffic load across the available bandwidth. In this paper, we extend load balancing into the spatial domain, and we develop two approaches--network load balancing and single-carrier multilink--for spatial load balancing. Although these techniques are mostly applied to cellular wireless networks and Wi-Fi networks, we show how they can be applied to EV-DO, a 3G cellular data network. When a device has more than one candidate server, these techniques can be used to determine the quality of the channel between a server and the device and to determine the Ipad on each server. The proposed techniques leverage the advantages of existing EV-DO network architecture and are fully backward compatible. Network operators can substantially increase network capacity and improve user experience by using these techniques. Combining load balancing in the frequency and spatial domains improves connectivity within a network and allows resources to be optimally allocated according to the p-fair criterion. Combined load balancing further improves performance.展开更多
Ultra Mobile Broadband (UMB) radio-access technology enables efficient wireless transfer of IP packets at very high data rates while providing seamless mobility and best Quality of Service (QoS), even at the cell edge...Ultra Mobile Broadband (UMB) radio-access technology enables efficient wireless transfer of IP packets at very high data rates while providing seamless mobility and best Quality of Service (QoS), even at the cell edges, without lowering frequency re-use. UMB systems benefit from a highly innovative flat network architecture that simplifies the core network and network interfaces, making it easy to scale the network. One of the key principles for UMB architecture is seamless mobility. A major emphasis is placed on the design of network architecture to facilitate seamless handoffs both within the UMB network and across different technologies. Innovative concepts enable fast switching between base stations while minimizing overhead and offering simpler network interfaces. New tunneling mechanisms provide signaling exchange at the data-link layer (layer 2) and IP layer (layer 3) to enable faster mobility across the base stations. This paper discusses key features of UMB network architecture, and provides insight into various architecture design choices.展开更多
As the next-generation mobile broadband networks, Ultra Mobile Broadband (UMB) and Long Term Evolution (LTE) continue to improve the mobile broadband performance and capacity by allowing operators to leverage new spec...As the next-generation mobile broadband networks, Ultra Mobile Broadband (UMB) and Long Term Evolution (LTE) continue to improve the mobile broadband performance and capacity by allowing operators to leverage new spectrum with wider bandwidths of 10 MHz and more. This will in turn enable the operators to address exciting market opportunities and service proliferation in high tele-density areas. This article discusses the drivers for the next-generation mobile broadband networks, and market opportunities of UMB and LTE. There are at least three key drivers for the networks: increasing device capabilities; growing mobile data consumption; and maintaining operator profitability. The opportunities include laptops, Personal Digital Assistants (PDAs) and fixed broadband access, premium Video on Demand (VOD)/Music on Demand (MOD) services, multimedia upload and exchange services, consumer electronics and business applications for vertical markets.展开更多
基金supported in part by the National Natural Science Foundation of China(No.61701197)in part by the open research fund of State Key Laboratory of Integrated Services Networks(No.ISN23-11)+3 种基金in part by the National Key Research and Development Program of China(No.2021YFA1000500(4))in part by the 111 Project(No.B23008)in part by the Future Network Scientific Research Fund Project(FNSRFP2021-YB-11)in part by the project of Changzhou Key Laboratory of 5G+Industrial Internet Fusion Application(No.CM20223015)。
文摘Federated edge learning(FEEL)technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users.In the FEEL system,vehicles upload data to the edge servers,which train the vehicles’data to update local models and then return the result to vehicles to avoid sharing the original data.However,the cache queue in the edge is limited and the channel between edge server and each vehicle is time-varying.Thus,it is challenging to select a suitable number of vehicles to ensure that the uploaded data can keep a stable cache queue in edge server while maximizing the learning accuracy.Moreover,selecting vehicles with different resource statuses to update data will affect the total amount of data involved in training,which further affects the model accuracy.In this paper,we propose a vehicle selection scheme,which maximizes the learning accuracy while ensuring the stability of the cache queue,where the statuses of all the vehicles in the coverage of edge server are taken into account.The performance of this scheme is evaluated through simulation experiments,which indicates that our proposed scheme can perform better than the known benchmark scheme.
文摘This paper discusses SHVC, the scalable extension of the High Efficiency Video Coding (HEVC) standard, and its applications in broadcasting and wireless broadband multimedia services. SHVC was published as part of the second version of the HEVC specifi?cation in 2014. Since its publication, SHVC has been evaluated by application standards development organizations (SDOs) for its potential benefits in video applications, such as terrestrial and mobile broadcasting in ATSC 3.0, as well as a variety of 3GPP mul?timedia services, including multi?party multi?stream video conferencing (MMVC), multimedia broadcast/multicast service (MBMS), and dynamic adaptive streaming over HTTP (DASH). This paper provides a brief overview of SHVC and the performance and com?plexity analyses of using SHVC in these video applications.
基金Foundation item： Project（2012AA051603） supported by the National High Technology Research and Development Program 863 Plan of China
文摘A sensor scheduling problem was considered for a class of hybrid systems named as the stochastic linear hybrid system (SLHS). An algorithm was proposed to select one (or a group of) sensor at each time from a set of sensors. Then, a hybrid estimation algorithm was designed to compute the estimates of the continuous and discrete states of the SLHS based on the observations from the selected sensors. As the sensor scheduling algorithm is designed such that the Bayesian decision risk is minimized, the true discrete state can be better identified. Moreover, the continuous state estimation performance of the proposed algorithm is better than that of hybrid estimation algorithms using only predetermined sensors. Finally, the algorithms are validated through an illustrative target tracking example.
文摘Load balancing is typically used in the frequency domain of cellular wireless networks to balance paging, access, and traffic load across the available bandwidth. In this paper, we extend load balancing into the spatial domain, and we develop two approaches--network load balancing and single-carrier multilink--for spatial load balancing. Although these techniques are mostly applied to cellular wireless networks and Wi-Fi networks, we show how they can be applied to EV-DO, a 3G cellular data network. When a device has more than one candidate server, these techniques can be used to determine the quality of the channel between a server and the device and to determine the Ipad on each server. The proposed techniques leverage the advantages of existing EV-DO network architecture and are fully backward compatible. Network operators can substantially increase network capacity and improve user experience by using these techniques. Combining load balancing in the frequency and spatial domains improves connectivity within a network and allows resources to be optimally allocated according to the p-fair criterion. Combined load balancing further improves performance.
文摘Ultra Mobile Broadband (UMB) radio-access technology enables efficient wireless transfer of IP packets at very high data rates while providing seamless mobility and best Quality of Service (QoS), even at the cell edges, without lowering frequency re-use. UMB systems benefit from a highly innovative flat network architecture that simplifies the core network and network interfaces, making it easy to scale the network. One of the key principles for UMB architecture is seamless mobility. A major emphasis is placed on the design of network architecture to facilitate seamless handoffs both within the UMB network and across different technologies. Innovative concepts enable fast switching between base stations while minimizing overhead and offering simpler network interfaces. New tunneling mechanisms provide signaling exchange at the data-link layer (layer 2) and IP layer (layer 3) to enable faster mobility across the base stations. This paper discusses key features of UMB network architecture, and provides insight into various architecture design choices.
文摘As the next-generation mobile broadband networks, Ultra Mobile Broadband (UMB) and Long Term Evolution (LTE) continue to improve the mobile broadband performance and capacity by allowing operators to leverage new spectrum with wider bandwidths of 10 MHz and more. This will in turn enable the operators to address exciting market opportunities and service proliferation in high tele-density areas. This article discusses the drivers for the next-generation mobile broadband networks, and market opportunities of UMB and LTE. There are at least three key drivers for the networks: increasing device capabilities; growing mobile data consumption; and maintaining operator profitability. The opportunities include laptops, Personal Digital Assistants (PDAs) and fixed broadband access, premium Video on Demand (VOD)/Music on Demand (MOD) services, multimedia upload and exchange services, consumer electronics and business applications for vertical markets.
