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Coordinated precoding and proactive interference cancellation in mixed interference scenarios

机译:混合干扰情况下的协调预编码和主动干扰消除

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In heterogeneous cellular networks, cross-tier inter-cell interference is often in mixed interference scenario where the macro-cell causes strong interference to pico-cells while pico-cells only cause weak interference to the macro-cell. In this scenario, the popular interference coordination schemes using power control or time/frequency division multiplexing are far from achieving the spectrum efficiency potential. Exploiting the difference of transmit powers and channel gains in heterogeneous networks, the transmission schemes based on interference cancelation have great opportunity to gain more throughput benefit. In this paper, we propose a coordinated precoding and proactive interference cancelation scheme, where the precoding design is based on the known decoding order and is to maximize the sum-rate of two interfering users. Since the optimization problem is non-convex, we find a local maximum by constructing a concave lower bound of the objective function and iteratively tightening it. Simulation results show that the network throughput is remarkably improved in mixed interference scenarios relative to orthogonal division scheme and coordinated multipoint transmission scheme with zero forcing precoding.
机译:在异构蜂窝网络中,跨层间干扰通常处于混合干扰场景,其中宏观小区对微微细胞产生强烈干扰,而微微电池仅对宏小区造成弱干扰。在这种情况下,使用功率控制或时间/频分复用的流行的干扰协调方案远非实现频谱效率电位。利用异构网络中发射功率和频道增益的差异,基于干扰消除的传输方案有很大的机会来获得更多吞吐量的益处。在本文中,我们提出了一种协调的预编码和主动干扰消除方案,其中预编码设计基于已知的解码顺序,并且是最大化两个干扰用户的总和速率。由于优化问题是非凸出的,因此通过构造目标函数的凹入下限并迭代地拧紧它,找到局部最大值。仿真结果表明,相对于正交划分方案的混合干扰场景和零强制预编码的协调多点传输方案,网络吞吐量显着提高。

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