【摘要】 面向海量数据造成的频谱短缺问题,以共享为解决手段,研究了运营商如何合理利用感知频谱传输数据。考虑物联网设备的局限性,设计了超密集认知异构网络架构,基于流量需求和感知开销设计了最优的接入控制和感知决策方法,以实现网络效用最大化。考虑感知频谱的不确定性,将最优规划方案建模成混合整数随机优化问题,并提出了数据驱动下基于统计特征的概率顽健求解方法,在可用带宽概率分布未知的情况下,统计满足各种服务请求的数据传输要求。更多还原

【Abstract】 Facing the problem of spectrum shortage caused by the mass data, in order to share as a solution, how operators use the sensing spectrum reasonably to transmit data was studied. Considering the limitation of Internet of things(IoT)devices, the ultra-dense cognitive heterogeneous network architecture was designed, based on traffic demand and perception cost, an optimal access control and perception decision method was designed to maximize network utility. Considering the uncertainty of the perceived spectrum, the optimal programming scheme was modeled as a mixed integer stochastic optimization problem, and a data-driven probabilistic solution method based on statistical characteristics was proposed.In the case of unknown probability distribution of available bandwidth, data transmission requirements meeting various service requests were counted.更多还原