Diversity Order Analysis for Quantized Constant Envelope Transmission
Not on the map. Why?
Abstract (arXiv)
Quantized constant envelope (QCE) transmission is a popular and effective technique to reduce the hardware cost and improve the power efficiency of 5G and beyond systems equipped with large antenna arrays. It has been widely observed that the number of quantization levels has a substantial impact on the system performance. This paper aims to quantify the impact of the number of quantization levels on the system performance. Specifically, we consider a downlink single-user multiple-input-single-output (MISO) system with M-phase shift keying (PSK) constellation under the Rayleigh fading channel. We first derive a novel bound on the system symbol error probability (SEP). Based on the derived SEP bound, we characterize the achievable diversity order of the quantized matched filter (MF) precoding strategy. Our results show that full diversity order can be achieved when the number of quantization levels L is greater than the PSK constellation order M, i.e., L>M, only half diversity order is achievable when L=M, and the achievable diversity order is 0 when L<M. Simulation results verify our theoretical analysis.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 26 Oct 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1.
1 paper.
Similar, not cited
Close in wording, no citation either way
- 2022Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems
- 2026SEP Analysis of Quantized SIMO Systems with M-PSK over Correlated Fading Channels ↗
- 2026SEP Analysis of a Low-Resolution SIMO System with M-PSK over Fading Channels ↗
- 2025SEP Analysis of 1-Bit Quantized SIMO Systems with QPSK over Fading Channels ↗
- 2021Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output?
- 2022Quantisation-aware Precoding for MU-MIMO with Limited-capacity Fronthaul
- 2026Constant-Envelope Quantized Precoding with Power Control for Cell-Free Massive MIMO-OFDM ↗
- 2021On Minimizing Symbol Error Rate Over Fading Channels with Low-Resolution Quantization