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In massive multiple-input multiple-output (MIMO) system, channel state information (CSI) is essential for the base station to achieve high performance gain. Recently, deep learning is widely used in CSI compression to fight against the…

Information Theory · Computer Science 2020-11-06 Zhilin Lu , Jintao Wang , Jian Song

Hybrid precoding is a cost-efficient technique for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communications. This paper proposes a deep learning approach by using a distributed neural network for hybrid…

Information Theory · Computer Science 2022-04-19 Kai Wei , Jindan Xu , Wei Xu , Ning Wang , Dong Chen

In frequency division duplex (FDD) multiple-input multiple-output (MIMO) wireless communications, limited channel state information (CSI) feedback is a central tool to support advanced single- and multi-user MIMO beamforming/precoding. To…

Information Theory · Computer Science 2020-10-22 Stefan Schwarz

In network MIMO cellular systems, subsets of base stations (BSs), or remote radio heads, are connected via backhaul links to central units (CUs) that perform joint encoding in the downlink and joint decoding in the uplink. Focusing on the…

Information Theory · Computer Science 2013-10-24 Jinkyu Kang , Osvaldo Simeone , Joonhyuk Kang , Shlomo Shamai

In this paper, the feasibility of a new downlink transmission mode in massive multi-input multi-output (MIMO) systems is investigated with two types of users, i.e., the users with only statistical channel state information (CSI) and the…

Information Theory · Computer Science 2017-12-01 Shuang Qiu , Da Chen , Daiming Qu , Kai Luo , Tao Jiang

The sixth-generation (6G) wireless networks will rely on ultra-dense multi-cell deployment to meet the high rate and connectivity demands. However, frequency reuse leads to severe inter-cell interference, particularly for cell-edge users,…

Information Theory · Computer Science 2025-11-18 Shuo Zheng , Shuowen Zhang

Transmitter channel state information (CSIT) is indispensable for the spectral efficiency gains offered by massive multiple-input multiple-output (MIMO) systems. In a frequency-division-duplexing (FDD) massive MIMO system, CSIT is typically…

Information Theory · Computer Science 2023-02-10 Deokhwan Han , Jeonghun Park , Namyoon Lee

Integrated sensing and communications (ISAC) has attracted tremendous attention for the future 6G wireless communication systems. To improve the transmission rates and sensing accuracy, massive multi-input multi-output (MIMO) technique is…

Signal Processing · Electrical Eng. & Systems 2022-07-20 Liangyuan Xu , Feifei Gao

Although the combination of the orthogonal time frequency space (OTFS) modulation and the massive multiple-input multiple-output (MIMO) technology can make communication systems perform better in high-mobility scenarios, there are still…

Information Theory · Computer Science 2021-05-21 Ding Shi , Wenjin Wang , Li You , Xiaohang Song , Yi Hong , Xiqi Gao , Gerhard Fettweis

To accommodate the explosive wireless traffics, massive multiple-input multiple-output (MIMO) is regarded as one of the key enabling technologies for next-generation communication systems. In massive MIMO cellular networks, coordinated…

Information Theory · Computer Science 2023-03-27 Jungang Ge , Ying-Chang Liang , Liao Zhang , Ruizhe Long , Sumei Sun

Base station cooperation improves the sum-rates that can be achieved in cellular systems. Conventional cooperation techniques require sharing large amounts of information over finite-capacity backhaul links and assume that base stations…

Information Theory · Computer Science 2009-12-08 Ramya Bhagavatula , Robert W. Heath

In this paper, we establish a general framework on the reduced dimensional channel state information (CSI) estimation and pre-beamformer design for frequency-selective massive multiple-input multiple-output MIMO systems employing…

Information Theory · Computer Science 2016-07-07 Gokhan M. Guvensen , Ender Ayanoglu

Integrated sensing and communication (ISAC) is one of the key usage scenarios for future sixth-generation (6G) mobile communication networks, where communication and sensing (C&S) services are simultaneously provided through shared wireless…

The doubly-dispersive (DD) channel structure has played a pivotal role in wireless communications, particularly in high-mobility scenarios and integrated sensing and communications (ISAC), due to its ability to capture the key fading…

This paper considers a discrete-time multiuser multiple-input single-output (MISO) Gaussian broadcast channel~(BC), in which channel state information (CSI) is available at both the transmitter and the receivers. The flexible and explicit…

Information Theory · Computer Science 2016-12-21 Zheng Dong , Yan-Yu Zhang , Jian-Kang Zhang , Xiang-Chuan Gao

We propose a novel doubly-dispersive (DD) multiple-input multiple-output (MIMO) channel model incorporating flexible intelligent metasurfaces (FIMs), which is suitable for integrated sensing and communications (ISAC) in high-mobility…

Dynamic Metasurface Antennas (DMAs) constitute a promising solution for extremely large antenna arrays, requiring lower power consumption and reduced hardware cost as compared to conventional phased arrays. In this paper, we consider a…

Signal Processing · Electrical Eng. & Systems 2026-05-06 Konstantinos D. Katsanos , Panagiotis Gavriilidis , George C. Alexandropoulos

According to the recent 3GPP decisions on 6G air interface, orthogonal frequency-division multiplexing (OFDM)-based waveforms are the primary candidates for future integrated sensing and communication (ISAC) systems. In this paper, we…

Signal Processing · Electrical Eng. & Systems 2025-11-12 Jialiang Zhu , Hamza Haif , Abdelali Arous , Huseyin Arslan , Arman Farhang

In massive multiple-input multiple-output (MIMO) system, user equipment (UE) needs to send downlink channel state information (CSI) back to base station (BS). However, the feedback becomes expensive with the growing complexity of CSI in…

Information Theory · Computer Science 2021-05-28 Zhilin Lu , Jintao Wang , Jian Song

The efficacy of massive multiple-input multiple-output (MIMO) techniques heavily relies on the accuracy of channel state information (CSI) in frequency division duplexing (FDD) systems. Many works focus on CSI compression and quantization…

Signal Processing · Electrical Eng. & Systems 2024-05-31 Xinran Sun , Zhengming Zhang , Luxi Yang