[0002] 随着移动智能终端和移动互联网的快速发展,移动业务呈现出爆发式增长,人们对数据接入速率和通信质量也提出了更高的要求,未来的移动通信系统不仅需要为用户提供高速的接入速率,也要满足某些用户个性化的特殊需求(如快速接入)。在移动通信系统快速发展过程中,干扰一直是影响用户通信质量和系统容量提升的主要因素,如何避免用户之间的干扰一直是学界的研究热点。近年来提出的干扰对齐技术因能有效消除干扰,显著提高自由度(Degrees of Freedom, DOF)并成倍提升系统容量而被广泛研究,其通过发送端设计预编码使接收端接收到的干扰信号被压缩到更低的维度空间中,从而将更多的维度用于接收有用信号。
[0003] 现有技术中,与本发明相关的研究主要包括:
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[0032] 干扰对齐技术在应用时需满足较为苛刻的条件[1-4],例如系统中的所有节点需要掌握全局信道信息(Global Channel State Information, GCSI),并且需要大规模的时域或频域扩展,或是需要大量的迭代算法,这导致其在实际应用中较难实现。为避免这些问题,提出了更易于实现的机会干扰对齐算法(Opportunistic Interference Alignment, OIA),其利用多用户分集技术,将用户调度和空域干扰对齐结合,在仅利用本地信道状态信息(Local channel state information, LCSI)并无需信道扩展条件下,以干扰泄漏(Leakage of Interference, LIF)最小化为原则,选取通信用户,实现干扰对齐和消除,并可获得系统的最佳自由度。
[0033] 在传统OIA系统中,基站以干扰泄漏最小化为原则选择通信用户,通信用户的选择都可以认为是随机的(即它的通信用户是被动随机选出),系统无法指定某个用户在某个时候进行通信,这样无法保证用户在确定的时间段内能进行接入和通信,使用户的通信时延可能超过用户的最大容忍时延,降低用户体验。另外,这种随机机制很有可能会导致某些用户在一段时间内经常会被选择为通信用户,而某些用户却始终没有通信的机会。即传统的机会干扰对齐算法中通信用户的选择机制存在一定的公平性问题。