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Towards the realization of ultra-reliable low-latency wireless communications required in critical industrial Internet of Things (IIoT) applications, this paper presents a new noncoherent and non-orthogonal massive single-input…

Information Theory · Computer Science 2019-03-06 He Chen , Zheng Dong , Branka Vucetic

Millimeter (mm) wave massive MIMO has the potential for delivering orders of magnitude increases in mobile data rates, with compact antenna arrays providing narrow steerable beams for unprecedented levels of spatial reuse. A fundamental…

Signal Processing · Electrical Eng. & Systems 2018-12-05 Maryam Eslami Rasekh , Upamanyu Madhow

Multi-frequency massive multi-input multi-output (MIMO) communication is a promising strategy for both 5G and future 6G systems, ensuring reliable transmission while enhancing frequency resource utilization. Statistical channel state…

Signal Processing · Electrical Eng. & Systems 2025-11-25 Jinke Tang , Li You , Xinrui Gong , Chenjie Xie , Xiqi Gao , Xiang-Gen Xia , Xueyuan Shi

With the goal of enabling ultrareliable and low-latency wireless communications for industrial internet of things (IIoT), this paper studies the use of energy-based modulations in noncoherent massive single-input multiple-output (SIMO)…

Information Theory · Computer Science 2024-06-19 Marc Vilà-Insa , Aniol Martí , Jaume Riba , Meritxell Lamarca

This paper is to design and optimize a non-orthogonal and noncoherent massive multiple-input multiple-output (MIMO) framework towards enabling scalable ultra-reliable low-latency communications (sURLLC) in wireless systems beyond 5G. In…

Signal Processing · Electrical Eng. & Systems 2020-02-19 He Chen , Zheng Dong , Jian-Kang Zhang , Branka Vucetic

Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information…

Information Theory · Computer Science 2015-04-01 Min Soo Sim , Jeonghun Park , Chan-Byoung Chae , Robert W. Heath

Massive Multiple Input-Multiple Output (mMIMO) technique has been considered an efficient standard to improve the transmission rate significantly for the following wireless communication systems, such as 5G and beyond. However, implementing…

Information Theory · Computer Science 2022-09-21 Victor Monzon , Vu N. Ha , Jorge Querol , Symeon Chatzinotas

\textit{Why does the literature consider the channel-state-information (CSI) as a 2/3-D image? What are the pros-and-cons of this consideration for accuracy-complexity trade-off?} Next generations of wireless communications require…

Information Theory · Computer Science 2020-01-22 Makan Zamanipour

Massive multiple-input multiple-output (MIMO) system is promising in providing unprecedentedly high data rate. To achieve its full potential, the transceiver needs complete channel state information (CSI) to perform transmit/receive…

Information Theory · Computer Science 2022-02-08 Yu Zhang , Ahmed Alkhateeb , Pranav Madadi , Jeongho Jeon , Joonyoung Cho , Charlie Zhang

This work presents a massive SIMO scheme for wireless communications with one-shot noncoherent detection. It is based on permutational index modulation over OFDM. Its core principle is to convey information on the ordering in which a fixed…

Information Theory · Computer Science 2025-07-08 Marc Vilà-Insa , Aniol Martí , Meritxell Lamarca , Jaume Riba

Knowledge of information about the propagation channel in which a wireless system operates enables better, more efficient approaches for signal transmissions. Therefore, channel state information (CSI) plays a pivotal role in the system…

Information Theory · Computer Science 2018-12-04 Zhiyuan Jiang , Sheng Chen , Andreas F. Molisch , Rath Vannithamby , Sheng Zhou , Zhisheng Niu

Massive MIMO (Multiple-Input Multiple-Output) is an advanced wireless communication technology, using a large number of antennas to improve the overall performance of the communication system in terms of capacity, spectral, and energy…

Information Theory · Computer Science 2025-01-06 Ferhat Ozgur Catak , Murat Kuzlu , Umit Cali

We propose a method for MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. The proposed method requires some structure in the transmitted signal for the decoding to be effective, in…

Signal Processing · Electrical Eng. & Systems 2018-02-06 Thomas R. Dean , Mary Wootters , Andrea J. Goldsmith

Wireless communication technology has seen a remarkably fast evolution due to its capability to provide a quality, reliable and high-speed data transmission amongst the users. However, transmission of information in wireless channels is…

Information Theory · Computer Science 2017-11-30 Sylvia Ong Ai Ling , Hushairi Zen , Al-Khalid B Hj Othman , Mahmood Adnan , Olalekan Bello

Massive MIMO has been regarded as one of the key technologies for 5G wireless networks, as it can significantly improve both the spectral efficiency and energy efficiency. The availability of high-dimensional channel side information (CSI)…

Information Theory · Computer Science 2015-05-05 Juei-Chin Shen , Jun Zhang , Kwang-Cheng Chen , Khaled B. Letaief

This paper presents an end-to-end deep learning framework in a movable antenna (MA)-enabled multiuser communication system. In contrast to the conventional works assuming perfect channel state information (CSI), we address the practical CSI…

Information Theory · Computer Science 2025-09-16 Ruizhi Zhang , Yuchen Zhang , Lipeng Zhu , Ying Zhang , Rui Zhang

Obtaining accurate channel state information (CSI) is crucial and challenging for multiple-input multiple-output (MIMO) wireless communication systems. With the increasing antenna scale and user mobility, traditional channel estimation…

Signal Processing · Electrical Eng. & Systems 2025-04-29 Zhuoran Xiao

Accurate channel state information (CSI) is essential for attaining beamforming gains in single-user (SU) multiple-input multiple-output (MIMO) and multiplexing gains in multi-user (MU) MIMO wireless communication systems. State-of-the-art…

Information Theory · Computer Science 2014-03-28 Junil Choi , Zachary Chance , David J. Love , Upamanyu Madhow

Large-scale multiple-input multiple-output (MIMO) with high spectrum and energy efficiency is a very promising key technology for future 5G wireless communications. For large-scale MIMO systems, accurate channel state information (CSI)…

Information Theory · Computer Science 2015-11-30 Zhen Gao , Linglong Dai , Zhaocheng Wang

Nano-scale molecular communication is a viable way of exchanging information between nano-machines. In this letter, a low-complexity and non-coherent signal detection technique is proposed to mitigate the inter-symbol-interference (ISI) and…

Emerging Technologies · Computer Science 2015-08-31 Bin Li , Mengwei Sun , Siyi Wang , Weisi Guo , Chenglin Zhao
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