2017/03/31 by Nil Garcia, Henk Wymeersch, Dirk Slock · 75 citations
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Computer network #Computer science #Millimeter-Wave Propagation and Modeling #Path (computing) #Power Line Communications and Noise #Real-time computing #cs.IT #eess.SP #math.IT
paper · pdf · doi:10.1109/tsp.2018.2870368
published in IEEE Transactions on Signal Processing 66(21), 5718-5729 (Institute of Electrical and Electronics Engineers) · Resubmission to IEEE Trans. on Signal Processing. 12 pages and 9 figures
arxiv created 2018/03/05 · openalex publication_date 2018/09/17 · arxiv updated 2018/11/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In millimeter-wave channels, most of the received energy is carried by a few paths. Traditional precoders sweep the angle-of-departure (AoD) and angle-of-arrival (AoA) space with directional precoders to identify directions with largest power. Such precoders are heuristic and lead to suboptimal AoD/AoA estimation. We derive optimal precoders, minimizing the Cramér-Rao bound (CRB) of the AoD/AoA under a given uncertainty range, assuming a fully digital architecture at the transmitter and spatial filtering of a single path. The precoders are found by solving a suitable convex optimization problem. We demonstrate that the accuracy can be improved by at least a factor of two over traditional precoders, and show that there is an optimal number of distinct precoders beyond which the CRB does not improve.