.png){kind=icon}
返回
On Media-Based Modulation Using RF Mirrors
.png){kind=icon}
OA
AI
DOI：10.1109/TVT.2016.2620989.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Media-based modulation (MBM) is a recently proposed modulation scheme that uses radio frequency (RF) mirrors at the transmit antenna(s) to create different channel fade realizations based on their ON/OFF status. These complex fade realizations constitute the modulation alphabet. MBM has the advantage of increased spectral efficiency and performance. In this paper, we investigate the performance of some physical layer techniques when applied to MBM. Particularly, we study the performance of 1) MBM with generalized spatial modulation (GSM), 2) MBM with mirror activation pattern (MAP) selection based on a Euclidean distance (ED)-based metric, and 3) MBM with feedback-based phase compensation and constellation rotation (PC-CR). Our results show that for the same spectral efficiency, GSM-MBM can achieve better performance compared to MIMO-MBM. Also, it is found that MBM with ED-based MAP selection results in improved bit error performance, and that phase compensation and MBM constellation rotation increases the ED between the MBM constellation points and improves the performance significantly. We also analyze the diversity orders achieved by the ED-based MAP selection scheme and the PC-CR scheme. The diversity orders predicted by the analysis are validated through simulations.
Keyword:
Constellation rotation
generalized spatial modulation media-based modulation (GSM-MBM)
MAP selection
media-based modulation (MBM)
mirror activation pattern (MAP)
multiple-input multiple output media-based modulation (MIMO-MBM)
phase compensation
radio frequency (RF) mirrors
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
New dinuclear copper(I) metallacycles containing bis-Schiff base ligands fused with two 1,2,4-triazole rings: Synthesis, characterization, molecular structures and theoretical calculations.png)
Polyhedron
PolyhedronIF0
PREAI
分享收藏
查看更多内容