CHANNEL CAPACITY ESTIMATION WITH RESPECT TO DISTANCE IN 5G MILLIMETER WAVE BANDS

Abstract

In the fast-evolving landscape of wireless communication, the demand for high- speed, reliable networks are escalating. Within this context, our research addresses a pivotal concern in 5G technology—channel capacity in millimeter-wave bands. Recognizing the challenges posed by distance- related path loss, we employed the MathWorks 5G NR CDL-A channel model to comprehensively analyze the interplay of carrier frequency, antenna heights, and link distances between Base Stations (BS) and User Equipment (UE). Our simulations, ranging from 6 GHz to 90 GHz, reveal a nuanced relationship between BS-UE horizontal distance and average channel capacity, crucial for optimizing network deployments. By exploring the implications of varying frequencies and presenting two scenarios—one with path loss effects only and another incorporating oxygen absorption—we contribute valuable insights for network engineers and policymakers. This work signifies a crucial step towards enhancing the efficiency and reliability of 5G millimeter-wave networks, fostering their societal impact by paving the way for more robust and responsive communication infrastructures.

Keywords: 5G, Bandwidth, Capacity estimation, NR, Channel