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Channel state feedback schemes for the MIMO broadcast downlink have been widely studied in the frequency-flat case. This work focuses on the more relevant frequency selective case, where some important new aspects emerge. We consider a…

Information Theory · Computer Science 2008-04-04 Hooman Shirani-Mehr , Giuseppe Caire

We propose an Gaussian Mixture Model (GMM) learning algorithm, based on our previous work of GMM expansion idea. The new algorithm brings more robustness and simplicity than classic Expectation Maximization (EM) algorithm. It also improves…

Machine Learning · Computer Science 2023-09-07 Weiguo Lu , Xuan Wu , Deng Ding , Gangnan Yuan

In this paper, we investigate the low-complexity distributed combining scheme design for near-field cell-free extremely large-scale multiple-input-multiple-output (CF XL-MIMO) systems. Firstly, we construct the uplink spectral efficiency…

Signal Processing · Electrical Eng. & Systems 2026-02-04 Zhe Wang , Jiayi Zhang , Bokai Xu , Dusit Niyato , Bo Ai , Shiwen Mao , Zhu Han

This paper proposes a hybrid learning and optimization framework for mobile manipulators for complex and physically interactive tasks. The framework exploits an admittance-type physical interface to obtain intuitive and simplified human…

Affine frequency division multiplexing (AFDM), an emerging multi-carrier modulation scheme, has garnered significant attention due to its resilience to Doppler shifts and capability to achieve full diversity in doubly dispersive channels.…

Signal Processing · Electrical Eng. & Systems 2026-04-17 Taohe Chen , Yin Xu , Tianyao Ma , Aimin Tang , Qu Luo , Dazhi He , Wenjun Zhang

In this paper, we study the problem of learning multi-dimensional Gaussian Mixture Models (GMMs), with a specific focus on model order selection and efficient mixing distribution estimation. We first establish an information-theoretic lower…

Machine Learning · Statistics 2026-03-23 Xinyu Liu , Hai Zhang

Using precoding to suppress multi-user interference is a well-known technique to improve spectra efficiency in multiuser multiple-input multiple-output (MU-MIMO) systems, and the pursuit of high performance and low complexity precoding…

Information Theory · Computer Science 2022-07-11 Maojun Zhang , Jiabao Gao , Caijun Zhong

Channel feedback is essential in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. Unfortunately, previous work on multiuser MIMO has shown that the codebook size for channel feedback should scale…

Information Theory · Computer Science 2018-06-26 Wenqian Shen , Linglong Dai , Byonghyo Shim , Zhaocheng Wang , Robert W. Heath

Reciprocity-based time-division duplex (TDD) Massive MIMO (multiple-input multiple-output) systems utilize channel estimates obtained in the uplink to perform precoding in the downlink. However, this method has been criticized of breaking…

Information Theory · Computer Science 2022-06-13 Ema Becirovic , Emil Björnson , Erik G. Larsson

Hybrid precoding can significantly reduce the number of required radio frequency (RF) chains and relieve the huge energy consumption in mmWave massive MIMO systems, thus attracting much interests from academic and industry. However, most…

Information Theory · Computer Science 2016-05-17 Tian Xie , Linglong Dai , Xinyu Gao , Muhammad Zeeshan Shakir , Zhaocheng Wang

This paper investigates the joint design of hybrid transmit precoder and analog receive combiners for single-group multicasting in millimeter-wave systems. We propose LB-GDM, a low-complexity learning-based approach that leverages gradient…

Signal Processing · Electrical Eng. & Systems 2020-03-02 Luis F. Abanto-Leon , Gek Hong , Sim

Multidimensional Index Modulations (IM) are a novel alternative to conventional modulations which can bring considerable benefits for future wireless networks. Within this scope, in this paper we present a new scheme, named as…

Signal Processing · Electrical Eng. & Systems 2021-08-09 Vasco Velez , Joao Pedro Pavia , Nuno Souto , Pedro Sebastiao , Americo Correia

Intelligent reflecting surface (IRS) is a promising technology to deliver the higher spectral and energy requirements in fifth-generation (5G) and beyond wireless networks while shaping the propagation environment. Such a design can be…

Information Theory · Computer Science 2022-06-30 Anastasios Papazafeiropoulos , Pandelis Kourtessis , Konstantinos Ntontin , Symeon Chatzinotas

This letter considers the transceiver design in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems for high-quality data transmission. We propose a novel…

Signal Processing · Electrical Eng. & Systems 2023-12-12 Junyi Yang , Weifeng Zhu , Shu Sun , Xiaofeng Li , Xingqin Lin , Meixia Tao

The downlink channel covariance matrix (CCM) acquisition is the key step for the practical performance of massive multiple-input and multiple-output (MIMO) systems, including beamforming, channel tracking, and user scheduling. However, this…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Kai Li , Ying Li , Lei Cheng , Qingjiang Shi , Zhi-Quan Luo

The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep…

Information Theory · Computer Science 2024-04-26 Yiran Guo , Wei Chen , Jialong Xu , Lun Li , Bo Ai

We propose a comprehensive scheme for realizing a massive multiple-input multiple-output (MIMO) system with dual-polarized antennas in frequency division duplexing (FDD) mode. Employing dual-polarized elements in a massive MIMO array has…

Information Theory · Computer Science 2020-08-26 Mahdi Barzegar Khalilsarai , Tianyu Yang , Saeid Haghighatshoar , Xinping Yi , Giuseppe Caire

Opportunistic scheduling and beamforming schemes with reduced feedback are proposed for MIMO-OFDMA downlink systems. Unlike the conventional beamforming schemes in which beamforming is implemented solely by the base station (BS) in a…

Information Theory · Computer Science 2016-11-17 Man-On Pun , Kyeong Jin Kim , H. Vincent Poor

Motivated by the demand for energy-efficient communication solutions in the next generation cellular network, a mixed-ADC receiver architecture for massive multiple input multiple output (MIMO) systems is proposed, which differs from…

Information Theory · Computer Science 2015-07-28 Ning Liang , Wenyi Zhang

This paper investigates downlink channel estimation in frequency-division duplex (FDD)-based massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink feedback in FDD systems,…

Information Theory · Computer Science 2016-08-24 Yinsheng Liu , Yinjun Liu , Qimei Cui , Riku Jantti