窄带蜂窝物联网(NB-IoT)技术发展迅猛,与原有的无线通信协议相比,NB-IoT的频谱带宽仅有180 k Hz,因此,如何更有效地使用资源或频谱(即资源分配和调度)成为NB-IoT技术的关键问题。针对该问题,对NB-IoT上行链路资源调度的相关因素,其中包...窄带蜂窝物联网(NB-IoT)技术发展迅猛,与原有的无线通信协议相比,NB-IoT的频谱带宽仅有180 k Hz,因此,如何更有效地使用资源或频谱(即资源分配和调度)成为NB-IoT技术的关键问题。针对该问题,对NB-IoT上行链路资源调度的相关因素,其中包括资源分配、功率控制以及上行传输间隙进行了分析,并提供不同选择方案以选择出最优的方案;另外,针对调制与编码方案和重复传输次数的选择进行了重点分析,提出基于不同的覆盖等级联合功率余量报告的贪婪-稳定选择调制与编码策略以初步选择调制与编码级别,在选择重复传输次数时引入了一个补偿因子以衡量重传次数的大小以及对调制与编码等级更新;最后,对所提出方案进行了仿真分析。仿真结果表明,所提方案与直接传输方法相比,平均可节省超过56%的活动时间和46%的资源消耗。展开更多
长期演进(Long Term Evolution,LTE)已经成为4G无线技术标准。目前,LTE分组调度的下行链路调度被大多数研究者研究,上行链路的研究相对较少。针对上行链路调度无法保证实时业务分组在延迟期限内传输,存在公平性较差、分组丢弃多的问题...长期演进(Long Term Evolution,LTE)已经成为4G无线技术标准。目前,LTE分组调度的下行链路调度被大多数研究者研究,上行链路的研究相对较少。针对上行链路调度无法保证实时业务分组在延迟期限内传输,存在公平性较差、分组丢弃多的问题。因此,提出了一种新的上行链路调度算法。该算法根据实时业务的延迟约束条件建立目标整数线性规划模型,再根据目标整数线性规划模型进行调度。实验结果表明,该算法能保证实时业务分组在延迟期限内传输,适用于实时业务,能确保公平性,最小化分组丢弃,具有较好的适用性。展开更多
Utilizing the unlicensed spectrum as supplementary is being studied to meet the increasingly growing demand of user equipment for rate,traffic and bandwidth,and thus to mitigate the current spectrum scarcity crisis.In...Utilizing the unlicensed spectrum as supplementary is being studied to meet the increasingly growing demand of user equipment for rate,traffic and bandwidth,and thus to mitigate the current spectrum scarcity crisis.In this paper,we investigate the uplink multi-user multiple-input multiple-output(UL MU-MIMO) technique to achieve multiplexing gain in unlicensed spectrum.We first define a new parameter called channel busy radio(CBR) which is related to the probability of occupying the unlicensed channel,and find that the failure to occupy the unlicensed channel leads to the performance degradation in unlicensed spectrum.Then,according to the user-specific CBR of the unlicensed channel,we propose a flexible scheduling scheme for UL MU-MIMO in unlicensed spectrum,and formulate an optimization problem for the optimal scheduled user number.Furthermore,an adaptive scheduling algorithm is proposed to decide the optimal number of the scheduled users efficiently.The simulation results show that,based on statistical channel condition in unlicensed spectrum,adjusting the number of the scheduled user flexibly can offset the degraded throughput and form an optimal MU-MIMO transmission.展开更多
针对加强的长期演进LTE-A(Long Term Evolution-Advanced)网络下机器对机器M2M(Machine-to-Machine)通信上行链路的能量效率问题,提出一种基于LTE-A网络中M2M通信上行链路调度的资源分配算法。构建系统模型与定义最大能量效率目标函数;...针对加强的长期演进LTE-A(Long Term Evolution-Advanced)网络下机器对机器M2M(Machine-to-Machine)通信上行链路的能量效率问题,提出一种基于LTE-A网络中M2M通信上行链路调度的资源分配算法。构建系统模型与定义最大能量效率目标函数;通过对原系统模型重构将具有非线性约束条件能量效率最优问题化解为二维背包问题;采用Charnes-Cooper变换和Glover的线性化方案,使该NP-Hard问题转化为混合整数线性规划MILP(Mixed-integer linear programming)问题。仿真结果表明,该方法相比与轮询算法和比例公平算法,能较大幅度地提高能量效率,降低丢包率。展开更多
文摘窄带蜂窝物联网(NB-IoT)技术发展迅猛,与原有的无线通信协议相比,NB-IoT的频谱带宽仅有180 k Hz,因此,如何更有效地使用资源或频谱(即资源分配和调度)成为NB-IoT技术的关键问题。针对该问题,对NB-IoT上行链路资源调度的相关因素,其中包括资源分配、功率控制以及上行传输间隙进行了分析,并提供不同选择方案以选择出最优的方案;另外,针对调制与编码方案和重复传输次数的选择进行了重点分析,提出基于不同的覆盖等级联合功率余量报告的贪婪-稳定选择调制与编码策略以初步选择调制与编码级别,在选择重复传输次数时引入了一个补偿因子以衡量重传次数的大小以及对调制与编码等级更新;最后,对所提出方案进行了仿真分析。仿真结果表明,所提方案与直接传输方法相比,平均可节省超过56%的活动时间和46%的资源消耗。
文摘长期演进(Long Term Evolution,LTE)已经成为4G无线技术标准。目前,LTE分组调度的下行链路调度被大多数研究者研究,上行链路的研究相对较少。针对上行链路调度无法保证实时业务分组在延迟期限内传输,存在公平性较差、分组丢弃多的问题。因此,提出了一种新的上行链路调度算法。该算法根据实时业务的延迟约束条件建立目标整数线性规划模型,再根据目标整数线性规划模型进行调度。实验结果表明,该算法能保证实时业务分组在延迟期限内传输,适用于实时业务,能确保公平性,最小化分组丢弃,具有较好的适用性。
基金partly supported by the NSFC International Cooperation and Exchange Program(Grant No.61461136001)partly supported by the Shanghai Rising-Star Program(grant no.17QA1403800)+2 种基金the NSFC International Cooperation and Exchange Program(Grant No.61461136004)partly supported by the ESEC project of Tekes and the National Natural Science Foundation of China(Grant No.61401440)partly supported by the NSFC International Cooperation and Exchange Program(Grant No.61461136003)
文摘Utilizing the unlicensed spectrum as supplementary is being studied to meet the increasingly growing demand of user equipment for rate,traffic and bandwidth,and thus to mitigate the current spectrum scarcity crisis.In this paper,we investigate the uplink multi-user multiple-input multiple-output(UL MU-MIMO) technique to achieve multiplexing gain in unlicensed spectrum.We first define a new parameter called channel busy radio(CBR) which is related to the probability of occupying the unlicensed channel,and find that the failure to occupy the unlicensed channel leads to the performance degradation in unlicensed spectrum.Then,according to the user-specific CBR of the unlicensed channel,we propose a flexible scheduling scheme for UL MU-MIMO in unlicensed spectrum,and formulate an optimization problem for the optimal scheduled user number.Furthermore,an adaptive scheduling algorithm is proposed to decide the optimal number of the scheduled users efficiently.The simulation results show that,based on statistical channel condition in unlicensed spectrum,adjusting the number of the scheduled user flexibly can offset the degraded throughput and form an optimal MU-MIMO transmission.
文摘针对加强的长期演进LTE-A(Long Term Evolution-Advanced)网络下机器对机器M2M(Machine-to-Machine)通信上行链路的能量效率问题,提出一种基于LTE-A网络中M2M通信上行链路调度的资源分配算法。构建系统模型与定义最大能量效率目标函数;通过对原系统模型重构将具有非线性约束条件能量效率最优问题化解为二维背包问题;采用Charnes-Cooper变换和Glover的线性化方案,使该NP-Hard问题转化为混合整数线性规划MILP(Mixed-integer linear programming)问题。仿真结果表明,该方法相比与轮询算法和比例公平算法,能较大幅度地提高能量效率,降低丢包率。
