ML Detection in Phase Noise Impaired SIMO Channels with Uplink Training

Abstract

The problem of maximum likelihood (ML) detection in training-assisted single-input multiple-output (SIMO) systems with phase noise impairments is studied for two different scenarios, i.e. the case when the channel is deterministic and known (constant channel) and the case when the channel is stochastic and unknown (fading channel). Further, two different operations with respect to the phase noise sources are considered, namely, the case of identical phase noise sources and the case of independent phase noise sources over the antennas. In all scenarios the optimal detector is derived for a very general parametrization of the phase noise distribution. Further, a high signal-to-noise-ratio (SNR) analysis is performed to show that symbol-error-rate (SER) floors appear in all cases. The SER floor in the case of identical phase noise sources (for both constant and fading channels) is independent of the number of antenna elements. In contrast, the SER floor in the case of independent phase noise sources is reduced when increasing the number of antenna elements (for both constant and fading channels). Finally, the system model is extended to multiple data channel uses and it is shown that the conclusions are valid for these setups, as well.

(To appear in IEEE Transactions on Communications, 2015), Contains additional material (Appendix B. T-slot Detectors)

References in corpus (7)

• Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design
• Soft metrics and their Performance Analysis for Optimal Data Detection in the Presence of Strong Oscillator Phase Noise
• Capacity bounds for MIMO microwave backhaul links affected by phase noise
• Capacity of SIMO and MISO Phase-Noise Channels with Common/Separate Oscillators
• ML Detection in Phase Noise Impaired SIMO Channels with Uplink Training
• Algorithms for Joint Phase Estimation and Decoding for MIMO Systems in the Presence of Phase Noise
• Optimal Detection in Training Assisted SIMO Systems with Phase Noise Impairments

Cited by in corpus (2)

• ML Detection in Phase Noise Impaired SIMO Channels with Uplink Training
• Optimizing the LO Distribution Architecture of mm-Wave Massive MIMO Receivers