期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 16, 期 2, 页码 1135-1143出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2016.2639485
关键词
Channel estimation; massive MIMO; peak-to-average-power ratio (PAR); signal design; training sequence
资金
- European Research Council
- Swedish Research Council
- U.S. National Science Foundation [CNS-0932428, CCF-1018927, CCF-1423663, CCF-1409204]
- Qualcomm Inc.
- NASA's Jet Propulsion Laboratory
- King Abdulaziz University
- King Abdullah University of Science and Technology
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1423663] Funding Source: National Science Foundation
In this paper, we propose a new approach to the design of training sequences that can be used for an accurate estimation of multi-input multi-output channels. The proposed method is particularly instrumental in training sequence designs that deal with three key challenges: 1) arbitrary channel and noise statistics that do not follow specific models, 2) limitations on the properties of the transmit signals, including total power, per-antenna power, having a constant-modulus, discrete-phase, or low peak-to-average-power ratio, and 3) signal design for large-scale or massive antenna arrays. Several numerical examples are provided to examine the proposed method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据