上行中心式协作多点传输基站处理算法研究

Base-Station Local Processing in Uplink Centralized Coordinated Multi-Point Transmission System

在蜂窝通信系统中,小区间干扰是影响系统性能的关键因素。在上行传输系统中,通过基站协作接收可以把协作簇内的小区间干扰转化为有用的信号。基站协作需要通过骨干网交换大量的数据,当骨干网容量有限时,必须考虑对各基站接收信号先进行本地处理。本文用统一的框架研究四种本地处理方案,包括对各天线采样信号的直接量化、基于信源编码的单源压缩算法、考虑基站间接收信号相关性的分布式多源压缩算法、以及对部分基站实行本地解调等。我们将研究当采用这四种方案时骨干网容量约束与系统可达和数据率之间的关系,分析用户位置、收发端天线配置等参数对这些方案性能的影响,讨论他们的实现复杂度和适用场景。

In cellular systems,inter-cell interference will severely degrade the system performance.In uplink transmission systems, through base-station（BS） cooperative receiving,the inter-cell interference in a cooperated cluster can be converted into useful signals.To implement BS cooperation,a large amount of information needs to be exchanged through backhaul links.When the backhaul capacity is limited,the received signals at each BS must be first locally processed before it is transferred to the central processor.In this paper,four local processing schemes are considered in a unified framework including direct quantization of the received signals at each antennas,single-source compression with source coding,distributive multiple-source compression exploiting the correlation among signals received at multiple BSs,and local decoding at some BSs.The connections between the achievable sum rate and the backhaul constraint are studied,and the impact of user positions and antenna configurations on system performance is analyzed.Finally,the implementation complexities and proper operation scenarios of each scheme are discussed.