结合三角分解和SLNR的同频干扰抑制算法
发布时间：2018-12-29 21:01
【摘要】：针对多小区多用户下行链路同频干扰问题,提出一种结合三角分解和信漏噪比(signal leakage noise ratio,SLNR)的干扰抑制算法,算法通过对联合信道的三角分解先将小区间干扰减少一半,然后利用SLNR算法和干扰抑制矩阵进一步消除小区间干扰。理论分析表明算法使得接收端不再需要增加用于抑制小区间干扰的矩阵及相应矩阵运算,从而降低了算法复杂度。计算机仿真表明较传统SLNR算法,该算法在系统容量和能量效率等性能方面得到改善。
[Abstract]:Aiming at the problem of multi-cell multi-user downlink co-frequency interference, an interference suppression algorithm combining triangulation decomposition and signal-to-noise ratio (signal leakage noise ratio,SLNR) is proposed. The algorithm reduces the inter-cell interference by half by triangulation decomposition of the joint channel. Then SLNR algorithm and interference suppression matrix are used to further eliminate inter-cell interference. Theoretical analysis shows that the algorithm can reduce the complexity of the algorithm by increasing the matrix and matrix operation to suppress inter-cell interference. Computer simulation shows that compared with the traditional SLNR algorithm, the performance of the algorithm is improved in terms of system capacity and energy efficiency.
【作者单位】： 重庆邮电大学移动通信技术重庆市重点实验室;重庆邮电大学通信与信息工程学院;
【基金】：国家重大科学仪器设备开发专项(2012YQ20022404) 重庆市自然科学基金(CSTCjjA40014,CSTC2013jjB40001)资助课题
【分类号】：TN972
[Abstract]:Aiming at the problem of multi-cell multi-user downlink co-frequency interference, an interference suppression algorithm combining triangulation decomposition and signal-to-noise ratio (signal leakage noise ratio,SLNR) is proposed. The algorithm reduces the inter-cell interference by half by triangulation decomposition of the joint channel. Then SLNR algorithm and interference suppression matrix are used to further eliminate inter-cell interference. Theoretical analysis shows that the algorithm can reduce the complexity of the algorithm by increasing the matrix and matrix operation to suppress inter-cell interference. Computer simulation shows that compared with the traditional SLNR algorithm, the performance of the algorithm is improved in terms of system capacity and energy efficiency.
【作者单位】： 重庆邮电大学移动通信技术重庆市重点实验室;重庆邮电大学通信与信息工程学院;
【基金】：国家重大科学仪器设备开发专项(2012YQ20022404) 重庆市自然科学基金(CSTCjjA40014,CSTC2013jjB40001)资助课题
【分类号】：TN972
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