摘要
针对异构无线网络中不同业务的时延限制和网络资源不确定性的问题,提出了一种联合时延限制和资源预测的网络选择(JDPNS)策略。该策略首先预测下一时隙信道资源的空闲概率和占用概率,如果空闲概率大于占用概率,则认为信道资源可以使用,如果空闲概率小于占用概率,则认为信道资源被占用,可以避免盲目接入造成的资源浪费和网络负载不均衡,然后以基于有效容量的信息传输速率作为目标函数,以用户的功率控制作为约束条件,在保障用户服务质量的前提下,采用凸优化理论得到最大化的网络传输速率,最后用户根据预测结果和传输速率两方面因素,选择具有充足带宽资源和最大传输速率的网络进行接入。仿真实验表明:在不同信道衰落条件下,JDPNS策略与注水策略相比,传输速率提高了1倍;JDPNS策略的传输速率更接近已知网络资源空闲情况的速率上界。
A joint delay constraint and resource prediction policy for network selection （JDPNS） is proposed to manage the problems caused by delay constraint of different services and resource uncertainty in integrated wireless systems. The probabilities of free and occupation are evaluated which can avoid resource wasting and load unbalancing. When the probability of free is larger than the probability of occupation, the channel resource can be used to transmit. While the probability of free is smaller than the probability of occupation, the channel resource is occupied. Then the transmission rate based on the concept of effective capacity is formulated as an objective function with the constraint of power control. The optimal transmission rate which can provide quality-of-service guarantees is obtained by applying the convex theory. Finally, the user accesses the proper network according to both the prediction result and the transmission rate. Simulation results and comparisons with the water-filling policy show that the JDPNS policy gets about twice the transmission rate in different fading channels, and that the transmission rate achieved by the JDPNS policy is closer to the available upper-bound rate.
出处
《西安交通大学学报》
EI
CAS
CSCD
北大核心
2014年第2期74-79,共6页
Journal of Xi'an Jiaotong University
基金
国家自然科学基金资助项目(61231008
61101143)
长江学者和创新团队发展计划资助项目(IRT0852)
国家"111计划"资助项目(B08038)
关键词
异构无线系统
网络选择
时延限制
有效容量
资源预测
integrated wireless systems
network selection
delay constraint
effective capacity
resource prediction
作者简介
李建东（1962-）,男,教授,博士生导师.
