Coexistence of Heterogeneous Services in the Uplink with Discrete Signaling and Treating Interference as Noise

TL;DR

This paper proposes a discrete signaling scheme for uplink heterogeneous services that treats interference as noise, enabling coexistence without SIC and achieving near-optimal performance.

Contribution

It introduces a novel discrete signaling method guided by deterministic models for interference management in uplink heterogeneous services.

Findings

Scheme performs close to Gaussian signaling with perfect SIC

Effective handling of heterogeneous interference without SIC

Theoretical and numerical validation of the proposed method

Abstract

The problem of enabling the coexistence of heterogeneous services, e.g., different ultra-reliable low-latency communications (URLLC) services and/or enhanced mobile broadband (eMBB) services, in the uplink is studied. Each service has its own error probability and blocklength constraints and the longer transmission block suffers from heterogeneous interference. Due to the latency concern, the decoding of URLLC messages cannot leverage successive interference cancellation (SIC) and should always be performed before the decoding of eMBB messages. This can significantly degrade the achievable rates of URLLC users when the interference from other users is strong. To overcome this issue, we propose a new transmission scheme based on discrete signaling and treating interference as noise decoding, i.e., without SIC. Guided by the deterministic model, we provide a systematic way to construct discrete signaling for handling heterogeneous interference effectively. We demonstrate theoretically and numerically that the proposed scheme can perform close to the benchmark scheme based on capacity-achieving Gaussian signaling with the assumption of perfect SIC.