干扰感知通信的链路性能抽象（IAC）
Link Performance Abstraction for Interference-Aware Communications (IAC)
摘要：
高级同信道干扰感知信号检测在高级长期演进（LTE-A）系统的最近发展期间引起了研究关注，并且3GPP当前正在研究干扰感知通信（IAC）。本文研究了采用最大似然检测器（MLD）的IAC系统的链路性能抽象。MLD的链路性能可以通过结合线性接收机和Genie辅助的最大似然（ML）接收机这两个性能界来估计。结果表明，传统的静态方法的基础上静态参数化，而工作以及在中等和弱干扰条件下，未能产生一个良好的解决方案，在强干扰的情况下。受此启发，我们提出了一种新的自适应方法，根据瞬时干扰信号比（ISR）的组合参数进行自适应调整。其基本思想是利用ISR上最优合并比的概率行为。链路级仿真结果验证了所提出的链路抽象方法的预测精度。此外，我们使用所提出的链路抽象模型作为系统级仿真中的链路到系统接口映射，以证明IAC接收机在干扰受限的LTE系统中的性能
英文摘要：
Advanced co-channel interference aware signal detection has drawn research attention during the recent development of Long Term Evolution-Advanced (LTE-A) systems and the interference-aware communications (IAC) is currently being studied by 3GPP. This paper investigates link performance abstraction for the IAC systems employing maximum-likelihood detector (MLD). The link performance of MLD can be estimated by combining two performance bounds, namely, linear receiver and genie-aided maximum-likelihood (ML) receiver. It is shown that the conventional static approach based on static parameterization, while working well under moderate and weak interference conditions, fails to generate a well-behaved solution in the strong interference case. Inspired by this observation, we propose a new adaptive approach where the combining parameter is adaptively adjusted according to instantaneous interference-to-signal ratio (ISR). The basic idea is to exploit the probabilistic behavior of the optimal combining ratio over the ISR. The link-level simulation results are provided to verify the prediction accuracy of the proposed link abstraction method. Moreover, we use the proposed link abstraction model as a link-to-system interface mapping in system-level simulations to demonstrate the performance of the IAC receiver in interference-limited LTE systems
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