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Efficient channel state information (CSI) compression at the user equipment plays a key role in enabling accurate channel reconstruction and precoder design in massive multiple-input multiple-output systems. A key challenge lies in…

Information Theory · Computer Science 2026-02-04 Xi Chen , Homa Esfahanizadeh , Foad Sohrabi

We propose a versatile feedback scheme for both single- and multi-user multiple-input multiple-output (MIMO) frequency division duplex (FDD) systems. Particularly, we propose utilizing a Gaussian mixture model (GMM) with a reduced number of…

Information Theory · Computer Science 2023-11-29 Nurettin Turan , Benedikt Fesl , Michael Koller , Michael Joham , Wolfgang Utschick

Hybrid beamforming is a promising technique to reduce the complexity and cost of massive multiple-input multiple-output (MIMO) systems while providing high data rate. However, the hybrid precoder design is a challenging task requiring…

Signal Processing · Electrical Eng. & Systems 2021-05-28 Hamed Hojatian , Jeremy Nadal , Jean-Francois Frigon , Francois Leduc-Primeau

In frequency division duplex (FDD) massive multiple-input multiple-output (mMIMO) systems, the reciprocity mismatch caused by receiver distortion seriously degrades the amplitude prediction performance of channel state information (CSI). To…

Information Theory · Computer Science 2023-09-01 Chaojin Qing , Zilong Wang , Qing Ye , Wenhui Liu , Linsi He

The Type-II codebook in Release 17 (R17) exploits the angular-delay-domain partial reciprocity between uplink and downlink channels to select part of angular-delay-domain ports for measuring and feeding back the downlink channel state…

Information Theory · Computer Science 2023-10-11 Ke Ma , Yiliang Sang , Yang Ming , Jin Lian , Chang Tian , Zhaocheng Wang

There is a fundamental trade-off between the channel representation resolution of codebooks and the overheads of feedback communications in the fifth generation new radio (5G NR) frequency division duplex (FDD) massive multiple-input and…

Signal Processing · Electrical Eng. & Systems 2020-10-23 Kai Li , Ying Li , Lei Cheng , Qingjiang Shi , Zhi-Quan Luo

We propose a precoder codebook construction and feedback encoding scheme which is based on Gaussian mixture models (GMMs). In an offline phase, the base station (BS) first fits a GMM to uplink (UL) training samples. Thereafter, it designs a…

Information Theory · Computer Science 2022-05-25 Nurettin Turan , Michael Koller , Benedikt Fesl , Samer Bazzi , Wen Xu , Wolfgang Utschick

Massive multiple-input multiple-output (MIMO) systems require downlink channel state information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains. In a frequency division duplex (FDD) multiuser massive MIMO…

Signal Processing · Electrical Eng. & Systems 2020-09-09 Mahdi Boloursaz Mashhadi , Qianqian Yang , Deniz Gunduz

Accurate estimation of DL CSI is required to achieve high spectrum and energy efficiency in massive MIMO systems. Previous works have developed learning-based CSI feedback framework within FDD systems for efficient CSI encoding and recovery…

Information Theory · Computer Science 2022-01-11 Yu-Chien Lin , Ta-Sung Lee , Zhi Ding

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 conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have been designed separately although they are highly coupled.…

Information Theory · Computer Science 2022-09-22 Jeonghyeon Jang , Hoon Lee , Il-Min Kim , Inkyu Lee

To reduce multiuser interference and maximize the spectrum efficiency in orthogonal frequency division duplexing massive multiple-input multiple-output (MIMO) systems, the downlink channel state information (CSI) estimated at the user…

Signal Processing · Electrical Eng. & Systems 2023-07-19 Wei Chen , Weixiao Wan , Shiyue Wang , Peng Sun , Geoffrey Ye Li , Bo Ai

The AI-enabled autoencoder has demonstrated great potential in channel state information (CSI) feedback in frequency division duplex (FDD) multiple input multiple output (MIMO) systems. However, this method completely changes the existing…

Signal Processing · Electrical Eng. & Systems 2024-07-02 Yupeng Li , Gang Li , Zirui Wen , Shuangfeng Han , Shijian Gao , Guangyi Liu , Jiangzhou Wang

Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple users simultaneously without causing severe interference.…

Information Theory · Computer Science 2019-02-19 Yu Han , Qi Liu , Chao-Kai Wen , Shi Jin , Kai-Kit Wong

We consider multi-group multicast precoding designs for cell-free massive multiple-input multiple-output (MIMO) systems. To optimize the transmit and receive beamforming strategies, we focus on minimizing the sum of the maximum mean squared…

Information Theory · Computer Science 2022-11-11 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance gains in massive MIMO systems, accurate channel state…

Information Theory · Computer Science 2017-01-30 Wenqian Shen , Linglong Dai , Yi Shi , Byonghyo Shim , Zhaocheng Wang

Multimode precoding, where the number of independent data-streams is adapted optimally, can be used to maximize the achievable throughput in multi-antenna communication systems. Motivated by standardization efforts embraced by the industry,…

Information Theory · Computer Science 2015-10-28 Vasanthan Raghavan , Venu Veeravalli , Akbar Sayeed

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas,…

Information Theory · Computer Science 2014-11-18 Liangbin Li , Alexei Ashikhmin , Thomas Marzetta

In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform coding with Karhunen-Loeve transform and reverse water-filling…

Information Theory · Computer Science 2026-04-23 Youngmok Park , Bumsu Park , Namyoon Lee

In this paper, the design of robust linear precoders for the massive multi-input multi-output (MIMO) downlink with imperfect channel state information (CSI) is investigated. The imperfect CSI for each UE obtained at the BS is modeled as…

Information Theory · Computer Science 2019-04-23 An-An Lu , Xiqi Gao , Wen Zhong , Chengshan Xiao , Xin Meng
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