Efficient reduction of peak-to-average power ratio in multiple-input multiple-output orthogonal frequency-division multiplexing system by shuffling cluster sequences

IF 1.3 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC ETRI Journal Pub Date : 2024-06-07 DOI:10.4218/etrij.2023-0362
Si Sar Mi, Tanairat Mata, Pornpawit Boonsrimuang, Pisit Boonsrimuang
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Abstract

We propose a shuffling cluster sequence technique without separate side information (SI) for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In the proposed technique, the active subcarriers over two consecutive OFDM symbols are divided into 2 V clusters, and each cluster (packet frame) includes a header for ID#cluster and payload for D a t a # c l u s t e r. The 2 V clusters are shuffled to reduce the peak-to-average power ratio (PAPR) of the time-domain OFDM signal, which includes the information data and SI signals, with a low computational complexity. At the receiver, the information data can be correctly reconstructed by ID#cluster in the header of each cluster, achieving a smaller bit error rate than the conventional MIMO-OFDM system without PAPR reduction. Moreover, our technique is comparable with the conventional partial transmit sequence technique without the impact of a separate SI signal even when increasing the number of transmitter antennas in a nonlinear multipath fading channel.

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通过洗牌簇序列有效降低多输入多输出正交频分复用系统中的峰均功率比
我们为多输入多输出(MIMO)正交频分复用(OFDM)系统提出了一种无独立侧信息(SI)的洗牌簇序列技术。在所提出的技术中,两个连续的 OFDM 符号上的有源子载波被划分为若干个簇,每个簇(数据包帧)包括 ID#cluster 头和 .簇被洗牌以降低时域 OFDM 信号(包括信息数据和 SI 信号)的峰均功率比 (PAPR),计算复杂度较低。在接收器中,信息数据可以通过每个簇头中的 ID#cluster 得到正确重构,从而实现比未降低 PAPR 的传统 MIMO-OFDM 系统更小的误码率。此外,即使在非线性多径衰落信道中增加发射天线数量,我们的技术也能与传统的部分发射序列技术相媲美,而不会受到单独 SI 信号的影响。
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来源期刊
ETRI Journal
ETRI Journal 工程技术-电信学
CiteScore
4.00
自引率
7.10%
发文量
98
审稿时长
6.9 months
期刊介绍: ETRI Journal is an international, peer-reviewed multidisciplinary journal published bimonthly in English. The main focus of the journal is to provide an open forum to exchange innovative ideas and technology in the fields of information, telecommunications, and electronics. Key topics of interest include high-performance computing, big data analytics, cloud computing, multimedia technology, communication networks and services, wireless communications and mobile computing, material and component technology, as well as security. With an international editorial committee and experts from around the world as reviewers, ETRI Journal publishes high-quality research papers on the latest and best developments from the global community.
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