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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

The overheads associated with feedback-based channel acquisition can greatly compromise the achievable rates of FDD based massive MIMO systems. Indeed, downlink (DL) training and uplink (UL) feedback overheads scale linearly with the number…

Information Theory · Computer Science 2018-02-06 Nadisanka Rupasinghe , Yuichi Kakishima , Haralabos Papadopoulos , Ismail Guvenc

Unlike the time-division duplexing (TDD) systems, the downlink (DL) and uplink (UL) channels are not reciprocal anymore in the case of frequency-division duplexing (FDD). However, some long-term parameters, e.g. the time delays and angles…

Information Theory · Computer Science 2017-08-02 Xiliang Luo , Penghao Cai , Xiaoyu Zhang , Die Hu , Cong Shen

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

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

In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems, the growing number of base station antennas leads to prohibitive feedback overhead for downlink channel state information (CSI). To address this…

Signal Processing · Electrical Eng. & Systems 2024-06-25 Yifan Ma , Hengtao He , Shenghui Song , Jun Zhang , Khaled B. Letaief

Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the performance of cellular networks. Massive MIMO has the…

Signal Processing · Electrical Eng. & Systems 2018-04-18 Yan Huang , Brian Jalaian , Stephen Russell , Hooman Samani

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

It is well accepted that acquiring downlink channel state information in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems is challenging because of the large overhead in training and feedback. In this…

Information Theory · Computer Science 2022-05-18 Javad Mirzaei , Shahram ShahbazPanahi , Raviraj Adve , Navaneetha Gopal

We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate channel estimation from a small amount of DL training overhead. Prior…

Signal Processing · Electrical Eng. & Systems 2019-10-23 Cheng Qian , Xiao Fu , Nicholas D. Sidiropoulos

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

A massive MIMO system entails a large number of base station antennas M serving a much smaller number of users. This leads to large gains in spectral and energy efficiency compared with other technologies. As the number of antennas M grows,…

Information Theory · Computer Science 2018-07-13 Ansuman Adhikary , Alexei Ashikhmin

In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information, especially in the frequency division duplex mode. To…

Signal Processing · Electrical Eng. & Systems 2020-09-04 Yindi Yang , Shun Zhang , Feifei Gao , Chao Xu , Jianpeng Ma , Octavia A. Dobre

In frequency division duplex (FDD) massive MIMO systems, a major challenge lies in acquiring the downlink channel state information}\ (CSI) at the base station (BS) from limited feedback sent by the user equipment (UE). To tackle this…

Signal Processing · Electrical Eng. & Systems 2025-09-11 Rajesh Shrestha , Mingjie Shao , Mingyi Hong , Wing-Kin Ma , Xiao Fu

This paper proposes a new transmission strategy for the multiuser massive multiple-input multiple-output (MIMO) systems, including uplink/downlink channel estimation and user scheduling for data transmission. A discrete Fourier transform…

Information Theory · Computer Science 2016-01-12 Hongxiang Xie , Feifei Gao , Shun Zhang , Shi Jin

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

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

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

In this paper, we investigate the downlink throughput performance of a massive multiple-input multiple-output (MIMO) system that employs superimposed pilots for channel estimation. The component of downlink (DL) interference that results…

Information Theory · Computer Science 2019-04-16 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

In this paper, downlink (DL) precoding and power allocation strategies are identified for a time-division-duplex (TDD) multi-cell multi-user massive Full-Dimension MIMO (FD-MIMO) network. Utilizing channel reciprocity, DL channel state…

Information Theory · Computer Science 2018-09-27 Rubayet Shafin , Lingjia Liu