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Hybrid massive MIMO structures with lower hardware complexity and power consumption have been considered as a potential candidate for millimeter wave (mmWave) communications. Channel covariance information can be used for designing…

Signal Processing · Electrical Eng. & Systems 2019-06-25 Rui Hu , Jun Tong , Jiangtao Xi , Qinghua Guo , Yanguang Yu

This paper addresses the problem of uplink and downlink channel estimation in FDD Massive MIMO systems. By utilizing sparse recovery and compressive sensing algorithms, we are able to improve the accuracy of the uplink/downlink channel…

Information Theory · Computer Science 2018-06-01 Yacong Ding , Bhaskar D. Rao

Configuring the hybrid precoders and combiners in a millimeter wave (mmWave) multiuser (MU) multiple-input multiple-output (MIMO) system is challenging in frequency selective channels. In this paper, we develop a system that uses…

Information Theory · Computer Science 2024-01-30 J. P. González-Coma , J. Rodríguez-Fernández , N. González-Prelcic , L. Castedo , R. W. Heath

In this work, we present new results for the application of rate splitting multiple access (RSMA) to the downlink (DL) of a massive multiple-input-multiple-output (MaMIMO) system operating in frequency-division-duplex (FDD) mode. Due to the…

Signal Processing · Electrical Eng. & Systems 2023-01-31 Donia Ben Amor , Michael Joham , Wolfgang Utschick

In this paper, we propose a channel tracking method for massive multi-input and multi-output systems under both time-varying and spatial-varying circumstance. Exploiting the characteristics of massive antenna array, a spatial-temporal basis…

Signal Processing · Electrical Eng. & Systems 2018-03-01 Jianwei Zhao , Hongxiang Xie , Feifei Gao , Weimin Jia , Shi Jin , Hai Lin

Canonical Massive MIMO uses time division duplex (TDD) to exploit channel reciprocity within the coherence time, avoiding feedback of channel state information (CSI), as is required for precoding at the base station. We extend the idea of…

Information Theory · Computer Science 2018-04-18 Maximilian Arnold , Xiaojie Wang , Stephan ten Brink

With the inherent benefits, such as, better cell coverage and higher area throughput, extra-large scale massive multiple-input multiple-output (MIMO) has great potential to be one of the key technologies for the next generation wireless…

Information Theory · Computer Science 2020-11-10 Xi Yang , Fan Cao , Michail Matthaiou , Shi Jin

Channel estimation for the downlink of frequency division duplex (FDD) massive MIMO systems is well known to generate a large overhead as the amount of training generally scales with the number of transmit antennas in a MIMO system. In this…

Signal Processing · Electrical Eng. & Systems 2020-01-23 Francois Rottenberg , Thomas Choi , Peng Luo , Jianzhong Zhang , Andreas F. Molisch

In this work we extend the concept of uplink-downlink rate balancing to frequency division duplex (FDD) massive MIMO systems. We consider a base station with large number antennas serving many single antenna users. We first show that any…

Information Theory · Computer Science 2016-05-04 Itsik Bergel , Yona Perets , Shlomo Shamai

Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhead both for downlink channel training and uplink channel…

Information Theory · Computer Science 2016-11-15 Wenqian Shen , Linglong Dai , Byonghyo Shim , Shahid Mumtaz , Zhaocheng Wang

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

This paper deals with the calibration of Time Division Duplexing (TDD) reciprocity in an Orthogonal Frequency Division Multiplexing (OFDM) based Cell Free Massive MIMO system where the responses of the (Radio Frequency) RF chains render the…

Information Theory · Computer Science 2020-04-07 Navaneet Athreya , Vishnu Raj , Sheetal Kalyani

Channel estimation for millimeter-wave (mmWave) massive MIMO with hybrid precoding is challenging, since the number of radio frequency (RF) chains is usually much smaller than that of antennas. To date, several channel estimation schemes…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Chen Hu , Zhaocheng Wang

Channel estimation and beamforming play critical roles in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. However, these two modules have been treated as two stand-alone components, which makes it…

Signal Processing · Electrical Eng. & Systems 2021-08-04 Yifan Ma , Yifei Shen , Xianghao Yu , Jun Zhang , S. H. Song , Khaled B. Letaief

In this paper, we propose an efficient downlink channel reconstruction scheme for a frequency-division-duplex multi-antenna system by utilizing uplink channel state information combined with limited feedback. Based on the spatial…

Information Theory · Computer Science 2018-05-21 Yu Han , Tien-Hao Hsu , Chao-Kai Wen , Kai-Kit Wong , Shi Jin

In this paper, we study the problem of multi-band (frequency-variant) covariance interpolation with a particular emphasis towards massive MIMO applications. In a massive MIMO system, the communication between each BS with $M \gg 1$ antennas…

Information Theory · Computer Science 2018-01-12 Saeid Haghighatshoar , Mahdi Barzegar Khalilsarai , Giuseppe Caire

We introduce novel blind and semi-blind channel estimation methods for cellular time-division duplexing systems with a large number of antennas at each base station. The methods are based on the maximum a-posteriori principle given a prior…

Information Theory · Computer Science 2015-03-31 David Neumann , Michael Joham , Wolfgang Utschick

The downlink transmission in multi-user multiple-input multiple-output (MIMO) systems has been extensively studied from both communication-theoretic and information-theoretic perspectives. Most of these papers assume perfect/imperfect…

Information Theory · Computer Science 2008-05-05 Jubin Jose , Alexei Ashikhmin , Phil Whiting , Sriram Vishwanath

Can we map the channels at one set of antennas and one frequency band to the channels at another set of antennas---possibly at a different location and a different frequency band? If this channel-to-channel mapping is possible, we can…

Information Theory · Computer Science 2019-08-15 Muhammad Alrabeiah , Ahmed Alkhateeb

Massive multiple-input multiple-output (MIMO) is one of the key technologies in future generation networks. Owing to their considerable spectral and energy efficiency gains, massive MIMO systems provide the needed performance to cope with…

Information Theory · Computer Science 2017-10-09 Salah Eddine Hajri , Mohamad Assaad , Maialen Larrañaga
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