2019/12/18 by Seok-Hwan Park, Park, Seok-Hwan, Osvaldo Simeone +5
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Antenna Design and Analysis #Antenna Design and Optimization #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1912.08508
openalex publication_date 2019/12/18 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
In a cell-free cloud radio access network (C-RAN) architecture, uplink\nchannel estimation is carried out by a centralized baseband processing unit\n(BBU) connected to distributed remote radio heads (RRHs). When the RRHs have\nmultiple antennas and limited radio front-end resources, the design of uplink\nchannel estimation is faced with the challenges posed by reduced radio\nfrequency (RF) chains and one-bit analog-to-digital converters (ADCs) at the\nRRHs. This work tackles the problem of jointly optimizing the pilot sequences\nand the pre-RF chains analog combiners with the goal of minimizing the sum of\nmean squared errors (MSEs) of the estimated channel vectors at the BBU. The\nproblem formulation models the impact of the ADC operation by leveraging\nBussgang's theorem. An efficient solution is developed by means of an iterative\nalternating optimization algorithm. Numerical results validate the advantages\nof the proposed joint design compared to baseline schemes that randomly choose\neither pilots or analog combiners.\n