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We consider downlink channel training of a frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) system when a multi-antenna jammer is present in the network. The jammer intends to degrade mean square error (MSE) of…

Cryptography and Security · Computer Science 2019-04-04 Mohammad Amin Sheikhi , S. Mohammad Razavizadeh

There is a demand for the same data content from several user equipments (UEs) in many wireless communication applications. Physical-layer multicasting combines the beamforming capability of massive MIMO (multiple-input multiple-output) and…

Signal Processing · Electrical Eng. & Systems 2025-04-09 Mahmoud Zaher , Emil Björnson

A new approach toward the noncoherent communications over the time varying fading channels is presented. In this approach, the relationship between the input signal space and the output signal space of a correlatively changing fading…

Information Theory · Computer Science 2014-01-13 Mina Karzand , Lizhong Zheng

In communications theory, the capacity of multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems is fundamentally determined by wireless channels, which exhibit both diversity and correlation in…

Information Theory · Computer Science 2024-07-11 Zongxi Liu , Jiacheng Chen , Yunting Xu , Ting Ma , Jingbo Liu , Haibo Zhou , Dusit Niyato

Joint Spatial Division and Multiplexing (JSDM) is a recently proposed scheme to enable massive MIMO like gains and simplified system operations for Frequency Division Duplexing (FDD) systems. The key idea lies in partitioning the users into…

Information Theory · Computer Science 2013-06-03 Ansuman Adhikary , Giuseppe Caire

In-band full-duplex transmission allows a relay station to theoretically double its spectral efficiency by simultaneously receiving and transmitting in the same frequency band, when compared to the traditional half-duplex or out-of-band…

Information Theory · Computer Science 2019-03-07 João S. Lemos , Francisco A. Monteiro , Ivo Sousa , António Rodrigues

Multilevel diversity coding is a classical coding model where multiple mutually independent information messages are encoded, such that different reliability requirements can be afforded to different messages. It is well known that {\em…

Information Theory · Computer Science 2020-06-11 Tao Guo , Chao Tian , Tie Liu , Raymond W. Yeung

Deep multimodal fusion by using multiple sources of data for classification or regression has exhibited a clear advantage over the unimodal counterpart on various applications. Yet, current methods including aggregation-based and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Yikai Wang , Wenbing Huang , Fuchun Sun , Tingyang Xu , Yu Rong , Junzhou Huang

Orthogonal signal-division multiplexing (OSDM) is an attractive alternative to conventional orthogonal frequency-division multiplexing (OFDM) due to its enhanced ability in peak-to-average power ratio (PAPR) reduction. Combining OSDM with…

Signal Processing · Electrical Eng. & Systems 2019-06-27 Jing Han , Shengqian Ma , Yujie Wang , Geert Leus

In this paper, we consider hybrid beamforming designs for multiuser massive multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems. Aiming at maximizing the weighted spectral efficiency, we propose…

Signal Processing · Electrical Eng. & Systems 2019-07-30 Jingbo Du , Wei Xu , Chunming Zhao , Luc Vandendorpe

Millimeter wave (mmWave) multi-user massive multi-input multi-output (MIMO) is a promising technique for the next generation communication systems. However, the hardware cost and power consumption grow significantly as the number of radio…

Signal Processing · Electrical Eng. & Systems 2021-06-09 Liangyuan Xu , Feifei Gao , Ting Zhou , Shaodan Ma , Wei Zhang

In beam-based massive multiple-input multiple-output systems, signals are processed spatially in the radio-frequency (RF) front-end and thereby the number of RF chains can be reduced to save hardware cost, power consumptions and pilot…

Information Theory · Computer Science 2017-11-21 Zhiyuan Jiang , Sheng Chen , Sheng Zhou , Zhisheng Niu

In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider…

Information Theory · Computer Science 2014-01-22 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

We consider channel estimation specific to turbo equalization for multiple-input multiple-output (MIMO) wireless communication. We develop a soft-decision-driven sequential algorithm geared to the pipelined turbo equalizer architecture…

Information Theory · Computer Science 2015-03-19 Daejung Yoon , Jaekyun Moon

Most communication systems use some form of feedback, often related to channel state information. The common models used in analyses either assume perfect channel state information at the receiver and/or noiseless state feedback links.…

Information Theory · Computer Science 2014-07-15 Vaneet Aggarwal , Ashutosh Sabharwal

In this work, we propose a deep unified (DU) encoder that embeds source information in a codeword that contains sufficient redundancy to handle both channel and source uncertainties, without enforcing an explicit pilot-data separation. At…

Signal Processing · Electrical Eng. & Systems 2026-02-10 Hao Jiang , Xiaojun Yuan , Qinghua Guo

Massive MIMO is widely considered as a key enabler of the next generation 5G networks. With a large number of antennas at the Base Station, both spectral and energy efficiencies can be enhanced. Unfortunately, the downlink channel…

Information Theory · Computer Science 2019-08-14 Ali Maatouk , Salah Eddine Hajri , Mohamad Assaad , Hikmet Sari

In this paper, we consider the problem of preamble design in multiple-input multiple-output (MIMO) systems employing offset quadrature amplitude modulation based filter bank multicarrier (OQAM/FBMC) and propose a preamble optimization…

Information Theory · Computer Science 2018-02-13 Wenfeng Liu , Da Chen , Kai Luo , Tao Jiang , Daiming Qu

This paper presents a new fading model for MIMO channels, the Jacobi fading model. It asserts that $H$, the transfer matrix which couples the $m_t$ inputs into $m_r$ outputs, is a sub-matrix of an $m\times m$ random (Haar-distributed)…

Information Theory · Computer Science 2012-08-16 Ronen Dar , Meir Feder , Mark Shtaif

The fundamental generalized diversity-multiplexing tradeoff (GDMT) of the quasi-static fading MIMO Z interference channel (Z-IC) is established for the general Z-IC with an arbitrary number of antennas at each node under the assumptions of…

Information Theory · Computer Science 2012-06-19 Sanjay Karmakar , Mahesh K. Varanasi
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