Reinforcement-learning-aided detector for time-varying MIMO systems with one-bit ADCs

Yo Seb Jeon, Namyoon Lee, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of one-bit analog-to-digital converters (ADCs) at a receiver is a power-efficient solution for future wireless systems. This paper presents a likelihood function learning method that enables robust maximum-a-posteriori-probability (MAP) detection for time-varying multiple-input multiple-output systems with one-bit ADCs. The key idea is to track the temporal variations of likelihood functions by exploiting input-output samples obtained from data detection, each containing the likelihood function information at each time slot. To deal with the uncertainty of this information caused by a data detection error, a Markov decision process (MDP) is defined, which maximizes the accuracy of the likelihood function learned from the samples. Then a reinforcement learning algorithm is developed to solve this MDP in a computationally efficient manner. Simulation results demonstrate that the use of the proposed method significantly improves the robustness of MAP detection to both the channel estimation error and channel variations over time.

Original languageEnglish (US)
Title of host publication2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109626
DOIs
StatePublished - Dec 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: Dec 9 2019Dec 13 2019

Publication series

Name2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
CountryUnited States
CityWaikoloa
Period12/9/1912/13/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Health Informatics

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    Jeon, Y. S., Lee, N., & Poor, H. V. (2019). Reinforcement-learning-aided detector for time-varying MIMO systems with one-bit ADCs. In 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings [9013621] (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM38437.2019.9013621