摘要： 由于毫米波网络具有间歇性及较高的路径损耗，对于毫米波与微波基站联合组网系统，传统的小区关联方法会导致严重的负载失衡问题。为此，提出一种分布式双连接小区关联算法。该算法基于效用函数，采用匹配算法求解系统效用最大化下的最优关联，并保证产生帕累托最优和双向稳定解。同时为基站设置最小配额约束，以平衡毫米波与微波基站负载。此外，在匹配算法基础上选择边缘用户进行双连接，减少干扰并降低频繁切换导致的链路失误率。仿真结果表明，最小配额分配算法下全网和速率较传统最大信干噪比算法平均提升25.9%，双连接时全网和速率较单连接时提升明显。

关键词: 毫米波网络, 双连接, 最小额分配, 负载均衡, 帕累托最优

Abstract: Millimeter-wave networks are limited by the high frequency of interrupts and the high path loss. For the network systems consisting of millimeter-wave networks and microwave base stations, the traditional cell association methods can cause serious load imbalance problems. To this end, a distributed cell association algorithm for dual-connection systems is proposed. The proposed association algorithm is based on the utility function, and the matching algorithm is used to find the optimal association that maximizes the utility of the system, so the found solutions satisfy bidirectional stability and Pareto optimality. In addition, each base station sets a minimum quota constraint, which effectively balances the loads between the millimeter wave and microwave base stations. Then based on the matching algorithm, edge users are selected for dual connection to reduce interference, decreasing the link error rate caused by frequent handovers. Simulation results show that under the minimum quota allocation algorithm, the proposed method improves the overall network sum rate by an average of 25.9% compared with the traditional maximum signal-to-interference and noise ratio (max-SINR) algorithm. Moreover, the proposed method provides a more significant increase in the overall network sum rate in the case of dual connection than single connection.

Key words: millimeter-wave network, dual connection, minimum quota allocation, load balancing, Pareto optimality

中图分类号: 

• TP393