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针对两小区MISO有限反馈系统中的小区间干扰消除问题,分析了部分信道状态信息下最大化信漏噪比和迫零波束形成在不同比特分配算法下的系统性能.通过使用两个独立的随机矢量量化(RVQ)码本分别量化期望信道和干扰信道,计算单用户下由量化误差导致的速率损失,再把速率损失限定在一定的范围内,进而对比特在期望基站和干扰基站之间的分配提出了一种新的自适应分配算法.仿真的结果表明与等比特分配算法相比该算法能够获得更优的系统性能.
Aiming at the problem of inter-cell interference cancellation in two-cell MISO finite-feedback system, the system performances of maximized SINR and zero-forcing beamforming under different bit-allocation algorithms under partial channel state information are analyzed. By using two independent random The Vector Quantization (RVQ) codebook separately quantizes the desired channel and the interference channel, calculates the rate loss caused by the quantization error of the single user, and then limits the rate loss within a certain range, and then compares the bit between the desired base station and the interfering base station Allocation A new adaptive allocation algorithm is proposed.The simulation results show that the algorithm can get better system performance than the equal bit allocation algorithm.