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Efficient Square-root Algorithms for the Extended V-BLAST with Selective Per-Antenna Rate Control

机译:高效的Square-Root算法,用于扩展V-Blast,具有选择性的每个天线速率控制

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We propose efficient algorithms for the extended Vertical Bell Labs Layered Space-Time architecture (V-BLAST) with selective per-antenna rate control (S-PARC). Instead of computing SNIRs from nulling vectors, we compute SNIRs from diagonal entries in the estimation error covariance matrix P, which are obtained from entries in F, i.e. the triangular square-root of P. Then the square-root V-BLAST algorithm is applied, to compute F for an antenna subset from F for another subset. Moreover, when computing F, we can reuse intermediate results to further reduce the computational complexity dramatically. Assume M transmit/receive antennas. The proposed algorithm for the S-PARC scheme minimizing total transmit power has the speedup of 0.14M + 1.82, with respect to the corresponding S-PARC algorithm computing SNIRs from nulling vectors, while the proposed algorithm for the S-PARC scheme maximizing total information rate has the speedup of (M + 58)/24.
机译:我们提出了具有选择性每天天线速率控制(S-PARC)的扩展垂直钟实验室分层空间架构(V-BLAST)的高效算法。而不是从空位向量计算Snir,我们计算从估计误差协方差矩阵P中的对角线条目的SNIR,这是从F的条目获得的,即P的三角形方块。然后应用Square-Root V-Blast算法,计算来自F对于另一个子集的天线子集的f。此外,当计算F时,我们可以重复使用中间结果以进一步降低计算复杂性。假设M发送/接收天线。用于最小化总发射功率的S-PARC方案的所提出的算法具有0.14m + 1.82的加速,相应于来自空位向量的相应的S-PARC算法计算SNIR,而所提出的S-PARC方案的算法最大化总信息速率具有(M + 58)/ 24的加速。

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