宏微协同组网下基于小区分簇的联合传输与无线资源分配

Cell Clustering-based Joint Transmission and Radio Resource Allocation in Macro-micro Collaborative Networking

摘要:

宏微协同组网能使运营商以低廉的成本实现网络的连续深度覆盖,且低功率、体积较小且部署灵活简便的微基站,克服了传统宏基站部署时所受到的站址资源和传输资源等限制,在不引入强干扰的前提下,能很好的对网络覆盖盲点、盲区进行补盲,并提升话务热点地区的容量,从而更好地满足日益增长的用户通信需求,更好地迎合跨移动、住宅和商业市场的全新服务趋势。针对宏微协同组网下小区间无线资源管理问题,该文提出一种大规模MIMO (multiple input multiple output, MIMO)系统下基于微小区分簇的联合传输和动态频谱分配策略,该策略分两步执行以优化网络加权和速率。首先,所提算法会根据各用户当前的信道状态执行微小区分簇,以尽可能地降低小区间干扰,提升系统容量。接着,宏基站和各微小区簇根据所服务用户当前的业务请求信息分别为其动态分配子载波,以最大化网络加权和速率,并提升资源利用率。仿真结果显示,该文提出的微小区分簇和动态频谱分配策略能在尽可能降低宏微协同组网中用户间干扰的同时,有效地提升系统吞吐量。

Abstract:

Macro-micro collaborative networking enables operators to achieve continuous deep coverage of networks at low cost. The low-power, small-sized, flexible and easy-to-deploy micro radio base station (mRBS) overcomes the constraints on site and transmission resources faced traditionally when macro base station (MBS) is deployed, which could well cover blind spots and blind areas of network coverage and improve the capacity of traffic hotspots under the premise of not introducing strong interference. It can better meet the ever-growing communication demand of user equipment (UE) and cater to the brand new service trend of cross mobility, residence and commercial markets. For the problem of inter-cell wireless resource management in macro-micro co-networking, this paper proposes a joint transmission and dynamic spectrum allocation strategy based on micro cell clustering in massive multiple input multiple output (MIMO) system. The strategy is implemented in two steps to optimize the network weighted sum rate. First, the proposed algorithm performs micro-cell clustering according to the current channel state information (CSI) of users, so as to reduce the inter-cell interference as much as possible and improve the system capacity. Then, the macro base station (MBS) and each micro-cell cluster dynamically allocate sub-carriers to its service users according to the current traffic request information to maximize the network weighted sum rate and improve the resource utilization. The simulation results shows that the proposed micro-cell clustering and dynamic spectrum allocation strategy can effectively improve the system throughput while reducing the interference among users in macro-micro collaborative networking.