Multi-Modal Concurrent Transmission
Majid Nasiri Khormuji, Alberto Giuseppe Perotti, Qin Yi, Branislav Popovic
TL;DR
The paper tackles the challenge of delivering concurrent, heterogeneous streams for tactile internet by NR, where a single common MCS limits spectral efficiency and reliability. It introduces Multi-Modal Concurrent Transmission (MMCT), a physical-layer scheme that assigns data-type dependent MCS, maps symbols to selected MIMO layers and time-frequency blocks, and uses a layer-specific frequency permutation guided by per-RB SNR, followed by SVD-based precoding to form a unified transport block. Through analytical capacity derivations and Monte-Carlo simulations under realistic channel models, MMCT demonstrates significantly lower outage for the haptic stream while preserving video performance, yielding practical power and spectral efficiency gains over NR joint transmission. The approach enables robust, low-latency multi-modal transmission suitable for tactile internet applications, with the potential to reduce retransmissions and improve user-perceived responsiveness.
Abstract
This paper introduces a novel physical-layer method labelled as Multi-Modal Concurrent Transmission (MMCT) for efficient transmission of multiple data streams with different reliability-latency performance requirements. The MMCT arranges data from multiple streams within a same physical-layer transport block wherein stream-specific modulation and coding scheme (MCS) selection is combined with joint mapping of modulated codewords to Multiple-Input Multiple-Output spatial layers and frequency resources. Mapping to spatial-frequency resources with higher Signal-to-Noise Ratios (SNRs) provides the required performance boost for the more demanding streams. In tactile internet applications, wherein haptic feedback/actuation and audio-video streams flow in parallel, the method provides significant SNR and spectral efficiency enhancements compared to conventional 3GPP New Radio (NR) transmission methods.
