Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array

Gao, Xinyu, Dai, Linglong, Zhou, Shidong, Sayeed, Akbar M. and Hanzo, Lajos (2018) Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. vol. 2018-May, IEEE.. (doi:10.1109/ICC.2018.8422131).

Abstract

Beamspace channel estimation is essential for wideband millimeter-wave (mmWave) MIMO with lens antenna array to achieve substantial increase in data rates with considerably reduced number of radio-frequency chains. However, most of existing beamspace channel estimation schemes are designed for narrowband mmWave systems, while rather scarce wideband schemes ideally assume beamspace channel enjoys the common support in frequency-domain. In this paper, inspired by the classical successive interference cancellation for multi-user detection, we propose an efficient successive support detection (SSD) based scheme without the assumption of common support. Specifically, we first demonstrate that each path component of the wideband beamspace channel exhibits a unique frequency-varying sparse structure. Based on this, we then successively estimate all sparse path components. For each path component, its supports at different frequencies are jointly estimated to improve the estimation accuracy, and then its influence is removed to estimate the remained path components. Once all path components have been estimated, the wideband beamspace channel can be recovered at a low complexity. Simulation results verify that the proposed SSD based beamspace channel estimation scheme achieves higher accuracy than existing wideband schemes.

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Contributors

Author: Lajos Hanzo

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