2018/05/25 by Jin-Seok Choi, Brian L. Evans, Choi, Jinseok +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1805.10386
openalex publication_date 2018/05/25 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
In this paper, we analyze the ergodic rate of single transmit antenna\nselection (TAS) in low-resolution analog-to-digital converter (ADC) systems.\nUsing low-resolution ADCs is a potential power-reduction solution for multiple\nantenna systems. Low-resolution ADC systems with TAS can further reduce cost\nand power consumption in wireless transceivers. Considering such systems, we\nderive the approximated lower bound of ergodic rate with TAS. Here, we exploit\nthe approximated distribution of the sum of Weibull random variables to address\nthe challenge involved in analyzing the quantization error. We, then, derive\nthe approximated ergodic rate with TAS for a single receive antenna in closed\nform, which reveals the TAS gain in low-resolution ADC systems. The upper bound\nof a single transmit and single receive antenna system under coarse\nquantization is derived to compare with the ergodic rate of the TAS system. The\nanalysis shows that the TAS method achieves a large improvement in ergodic rate\nwith a moderate number of transmit antennas. Simulation results validate the\nderived ergodic rates and resulting intuition.\n