摘要
为解决基于固定信干噪比（SINR：Signal to Interference plus Noise Ratio）门限值的协作用户划分策略的不足,在综合考虑系统平均速率和边缘用户最小平均速率基础上,定义了协作距离.提出了基于效用函数的协作用户划分动态分簇联合多用户调度算法,并采用蒙特卡洛方法进行了仿真.仿真结果表明,改进的基于效用函数的协作用户划分算法能在系统整体性能和边缘用户性能上取得较好的平衡,系统整体性能得到提升.在相同信噪比条件下,系统平均频谱效率提升0.1～0.2bit/（s·Hz）.
The shortcoming of the fixed signal to interference plus noise ratio （SINR：Signal to Interference plus Noise Ratio） threshold for collaborative user partition strategy is analyzed.Based on the system average rate and the edge user minimum average rate,the coordinated distance is defined.The algorithm of collaborative user division dynamic clustering joint multiuser scheduling using utility function is presented.And by applying Monte Carlo method,simulation is carried out.The simulation results show that the improved algorithm based on the utility function for collaborative user division can achieve a good balance between the system performance and the edge user performance.
出处
《吉林大学学报（信息科学版）》
CAS
2014年第2期119-124,共6页
Journal of Jilin University（Information Science Edition）
基金
国家自然科学基金资助项目(11071026)
关键词
协作多点传输
动态多用户调度
协作用户分类
效用函数
coordinated multi-point
dynamic multiuser scheduling
collaborative user division
utility function
