Network slicing based fog radio access network(F-RAN) has emerged as a promising architecture to support various novel applications in 5 G-and-beyond wireless networks. However, the co-existence of multiple network sl...Network slicing based fog radio access network(F-RAN) has emerged as a promising architecture to support various novel applications in 5 G-and-beyond wireless networks. However, the co-existence of multiple network slices in F-RANs may lead to significant performance degradation due to the resource competitions among different network slices. In this paper, the downlink F-RANs with a hotspot slice and an Internet of Things(Io T) slice are considered, in which the user equipments(UEs) of different slices share the same spectrum. A novel joint resource allocation and admission control scheme is developed to maximize the number of UEs in the hotspot slice that can be supported with desired quality-of-service, while satisfying the interference constraint of the UEs in the Io T slice. Specifically, the admission control and beamforming vector optimization are performed in the hotspot slice to maximize the number of admitted UEs, while the joint sub-channel and power allocation is performed in the Io T slice to maximize the capability of the UEs in the Io T slice tolerating the interference from the hotspot slice. Numerical results show that our proposed scheme can effectively boost the number of UEs in the hotspot slice compared to the existing baselines.展开更多
Radio resource management mechanisms in current and future wireless networks is expected to face an enormous challenge due to the ever increasing demand for bandwidth and latency sensitive applications on mobile devic...Radio resource management mechanisms in current and future wireless networks is expected to face an enormous challenge due to the ever increasing demand for bandwidth and latency sensitive applications on mobile devices. This is because an optimal resource allocation scheme which attempts to multiplex the available bandwidth in order to maximize Quality of service(QoS), will pose an exponential computational burden at eNodeB. In order to minimize such computational overhead, this work proposes a hybrid offline-online resource allocation strategy which effectively allocates all the available resources among flows such that their QoS requirements are satisfied. The flows are firstly classified into priority buckets based on real-time criticality factors. During the offline phase, the scheduler attempts to maintain the system load within a pre-specified safe threshold value by selecting an appropriate number of buckets. This offline selection procedure makes use of supervisory control theory of discrete event systems to synthesize an offline scheduler. Next, we have devised an online resource allocation strategy which runs on top of the offline policy and attempts to minimize the impact of the inherent variability in wireless networks. Simulation results show that the proposed scheduling framework is able to provide satisfactory QoS to all end users in most practical scenarios.展开更多
无线资源控制(radio resource control,RRC)连接重建过程在长期演进(long term evolution,LTE)系统中对维持无线链路的可靠性,保证服务的连续性有着重要作用。对LTE系统特性和协议架构进行了介绍,对RRC连接重建过程的应用场景、发起原...无线资源控制(radio resource control,RRC)连接重建过程在长期演进(long term evolution,LTE)系统中对维持无线链路的可靠性,保证服务的连续性有着重要作用。对LTE系统特性和协议架构进行了介绍,对RRC连接重建过程的应用场景、发起原因、连接重建目的小区的选择、RRC连接参数更新等方面进行了研究;对LTE系统终端侧RRC、分组数据汇聚协议(packet data convergence protocol,PDCP)、无线链路控制(radio link control,RLC)、媒体接入控制(medium access control,MAC)子层的有限状态机和接口信号,以及RRC连接重建过程的信令流程进行了设计;通过规范和描述语言(specification and description language,SDL)/树表结合表示法(tree and tabular combinednotation,TTCN)仿真测试平台验证了RRC连接重建过程的设计与实现符合第三代合作伙伴计划(3rd generation partnership project,3GPP)协议规范。展开更多
为有效利用频谱资源,提高频谱效率,文中利用环境感知技术,设计出认知无线电跨层结构框架,提出一种新的功率控制博弈BPCG(Bandwidth and Power Control Game Algorithm)算法,研究不同用户的频谱带宽分配和功率控制,该算法在确保频谱带宽...为有效利用频谱资源,提高频谱效率,文中利用环境感知技术,设计出认知无线电跨层结构框架,提出一种新的功率控制博弈BPCG(Bandwidth and Power Control Game Algorithm)算法,研究不同用户的频谱带宽分配和功率控制,该算法在确保频谱带宽有效分配前提下,通过对用户功率的有效控制,实现网络总吞吐量的提高。仿真结果表明该算法在相同的功率消耗前提下,网络吞吐量显著提高,并随频谱带宽的增加,实现网络吞吐量的最大化。展开更多
基金supported in part by the State Major Science and Technology Special Project(Grant No.2018ZX03001002)the National Natural Science Foundation of China under Grant No.61925101 and No.61831002+2 种基金the Beijing Natural Science Foundation under Grant No.JQ18016the National Program for Special Support of Eminent Professionalsthe Fundamental Research Funds for the Central Universities under Grant No.24820202020RC09 and Grant No.24820202020RC11。
文摘Network slicing based fog radio access network(F-RAN) has emerged as a promising architecture to support various novel applications in 5 G-and-beyond wireless networks. However, the co-existence of multiple network slices in F-RANs may lead to significant performance degradation due to the resource competitions among different network slices. In this paper, the downlink F-RANs with a hotspot slice and an Internet of Things(Io T) slice are considered, in which the user equipments(UEs) of different slices share the same spectrum. A novel joint resource allocation and admission control scheme is developed to maximize the number of UEs in the hotspot slice that can be supported with desired quality-of-service, while satisfying the interference constraint of the UEs in the Io T slice. Specifically, the admission control and beamforming vector optimization are performed in the hotspot slice to maximize the number of admitted UEs, while the joint sub-channel and power allocation is performed in the Io T slice to maximize the capability of the UEs in the Io T slice tolerating the interference from the hotspot slice. Numerical results show that our proposed scheme can effectively boost the number of UEs in the hotspot slice compared to the existing baselines.
基金partially supported by TATA Consultancy Services(TCS),India,through TCS Research Fellowship Program
文摘Radio resource management mechanisms in current and future wireless networks is expected to face an enormous challenge due to the ever increasing demand for bandwidth and latency sensitive applications on mobile devices. This is because an optimal resource allocation scheme which attempts to multiplex the available bandwidth in order to maximize Quality of service(QoS), will pose an exponential computational burden at eNodeB. In order to minimize such computational overhead, this work proposes a hybrid offline-online resource allocation strategy which effectively allocates all the available resources among flows such that their QoS requirements are satisfied. The flows are firstly classified into priority buckets based on real-time criticality factors. During the offline phase, the scheduler attempts to maintain the system load within a pre-specified safe threshold value by selecting an appropriate number of buckets. This offline selection procedure makes use of supervisory control theory of discrete event systems to synthesize an offline scheduler. Next, we have devised an online resource allocation strategy which runs on top of the offline policy and attempts to minimize the impact of the inherent variability in wireless networks. Simulation results show that the proposed scheduling framework is able to provide satisfactory QoS to all end users in most practical scenarios.
文摘无线资源控制(radio resource control,RRC)连接重建过程在长期演进(long term evolution,LTE)系统中对维持无线链路的可靠性,保证服务的连续性有着重要作用。对LTE系统特性和协议架构进行了介绍,对RRC连接重建过程的应用场景、发起原因、连接重建目的小区的选择、RRC连接参数更新等方面进行了研究;对LTE系统终端侧RRC、分组数据汇聚协议(packet data convergence protocol,PDCP)、无线链路控制(radio link control,RLC)、媒体接入控制(medium access control,MAC)子层的有限状态机和接口信号,以及RRC连接重建过程的信令流程进行了设计;通过规范和描述语言(specification and description language,SDL)/树表结合表示法(tree and tabular combinednotation,TTCN)仿真测试平台验证了RRC连接重建过程的设计与实现符合第三代合作伙伴计划(3rd generation partnership project,3GPP)协议规范。
文摘为有效利用频谱资源,提高频谱效率,文中利用环境感知技术,设计出认知无线电跨层结构框架,提出一种新的功率控制博弈BPCG(Bandwidth and Power Control Game Algorithm)算法,研究不同用户的频谱带宽分配和功率控制,该算法在确保频谱带宽有效分配前提下,通过对用户功率的有效控制,实现网络总吞吐量的提高。仿真结果表明该算法在相同的功率消耗前提下,网络吞吐量显著提高,并随频谱带宽的增加,实现网络吞吐量的最大化。
