Open Access
Crosscorrelation functions of amplitude-distorted gaussian signals
Julian J. Bussgang
- 01 Jan 1952
960
About: The article was published on 01 Jan 1952. and is currently open access. The article focuses on the topics: Gaussian random field & Gaussian function.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Linear One-Bit Precoding in Massive MIMO: Asymptotic SEP Analysis and Optimization
Zheyu Wu,Junjie Ma,Ya‐Feng Liu,A. Lee Swindlehurst +3 more
- 25 Sep 2023
TL;DR: Linear one-bit precoding in massive MIMO converges to a scalar noise model under asymptotic conditions.
1
Analysis of One-Bit Quantized Linear Precoding Schemes in Multi-Cell Massive MIMO Downlink
TL;DR: Bussgang decomposition is utilized to derive downlink signal-to-quantization-plus-interference-plus-interference-plus-noise ratio (SQINR) and ergodic achievable rate expressions under one-bit quantized maximum ratio transmission (MRT) and zero-forcing (ZF) precoding schemes considering scenarios with and without pilot contamination (PC) in the derived channel estimates.
1
•Posted Content
All-Digital Massive MIMO Uplink and Downlink Rates under a Fronthaul Constraint
TL;DR: In this article, the authors characterized the rate achievable in a bidirectional quasi-static link where several user equipments communicate with a massive MIMO base station (BS) in full-digital mode, and the physical size of the antenna array is limited, and there exists a rate constraint on the fronthaul interface connecting the radio head to the digital baseband processing unit.
Joint AGC and Receiver Design for Quantized Large-Scale MU-MIMO Systems with C-RANs
Thiago Bitencourt Cunha,R.C. de Lamare,Tadeu N. Ferreira +2 more
- 01 Nov 2019
TL;DR: Simulations show that the proposed design of the automatic gain control and low-resolution aware linear receive filter for large-scale multi-user multiple-input multiple-output systems with coarsely quantized signals in cloud radio access networks has better error rates and higher achievable rates than existing techniques.