Diversity Order Analysis for Quantized Constant Envelope Transmission
Zheyu Wu, Jiageng Wu, Wei-Kun Chen, Ya-Feng Liu

TL;DR
This paper analyzes how the number of quantization levels in quantized constant envelope transmission affects the diversity order in MISO systems, providing bounds and conditions for full, half, or zero diversity.
Contribution
It derives a novel SEP bound and characterizes the diversity order based on quantization levels, revealing the impact of quantization on system performance.
Findings
Full diversity when quantization levels exceed PSK order
Half diversity when quantization levels equal PSK order
Zero diversity when quantization levels are less than PSK order
Abstract
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…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Advanced Wireless Communication Technologies
