Received Bit Information Rate Research Articles

On Application of PHY Layer Abstraction Techniques for System Level Simulation and Adaptive Modulation in IEEE 802.11ac/ax Systems

This paper investigates the application in IEEE 802.11ac/ax systems of received bit information rate (RBIR) technique in order to estimate the effective signal-to-interference-plus-noise ratio used to abstract the physical layer (PHY) performance in system level simulations. The RBIR technique is evaluated based on simulation results of 802.11ac PHY operating over both canonical flat fading and independent and identical distributed and spatial-correlated frequency selective single-user and multi-user multiple input multiple output channels. We have concluded that RBIR PHY abstraction methodology is accurate enough to provide first order insights on system level performance and design options with reduced computational complexity. Finally, it is also described the application of RBIR PHY abstraction scheme to schedule on the flight the modulation code scheme that achieve a target quality-of-service.

Link Performance Estimation Techniques for MIMO-OFDM Systems with Maximum Likelihood Receiver

Link adaptation allows a communication system to adapt its transmission modes according to channel conditions. Although a maximum likelihood (ML) receiver for multiple-input multiple-output (MIMO) systems provides optimal performance, estimating its link performance has been a difficult problem. In this paper, we propose a new link performance abstraction technique for MIMO orthogonal frequency-division multiplexing systems with the ML receiver. The performance of ML detection (MLD) is estimated by employing capacity bounds of two simple linear receivers. Then, we give a simple parametrization to compute the desired per-stream signal-to-noise ratio (SNR) values, which can be applied for both vertically and horizontally coded MIMO systems. Based on the derived per-stream SNR estimates, the block error rate is obtained using the received-bit information rate metrics. We also examine the effect of imperfect channel estimation as well as spatial correlations among antennas. Finally, extensive simulation results show that the proposed method provides superior estimation accuracy in the MIMO-MLD link evaluation with very low computational complexity.