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Accurate multiple-input multiple-output (MIMO) channel estimation is critical for next-generation wireless systems, enabling enhanced communication and sensing performance. Traditional model-based channel estimation methods suffer, however,…

Signal Processing · Electrical Eng. & Systems 2026-02-02 Seyed Alireza Javid , Nuria González-Prelcic

To meet the goal of ten-fold increase in spectral efficiency, multiuser multiple-input-multiple-output (MU-MIMO) techniques capable of achieving high spatial multiplexing gains are expected to be an essential component of fifth-generation…

Information Theory · Computer Science 2016-11-15 Nassar Ksairi , Beatrice Tomasi , Stefano Tomasin

Low-complexity carrier frequency offset (CFO) estimation and compensation in multi-user massive multiple-input multiple-output (MIMO) systems is a challenging problem. The existing CFO estimation algorithms incur tremendous increase in…

Information Theory · Computer Science 2015-05-05 Sudarshan Mukherjee , Saif Khan Mohammed

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 cell-free massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, user equipments (UEs) are served by many distributed access points (APs), where channels are correlated due to finite…

Information Theory · Computer Science 2020-11-04 Junyuan Gao , Yongpeng Wu , Yongjian Wang , Wenjun Zhang , Fan Wei

Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw…

Information Theory · Computer Science 2016-04-21 Christoph Studer , Giuseppe Durisi

In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massive pilot overhead due to hundreds of antennas at base…

Signal Processing · Electrical Eng. & Systems 2022-11-01 An Chen , Wenbo Xu , Liyang Lu , Yue Wang

This paper concerns the feasibility of full-duplex large-scale multiple-input-multiple-output (MIMO) cellular systems. We first propose a pilot transmission scheme and assess its performance, specifically the ergodic sum-rate. The proposed…

Information Theory · Computer Science 2017-11-23 Jeongwan Koh , Yeon-Geun Lim , Chan-Byoung Chae , Joonhyuk Kang

This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in…

Information Theory · Computer Science 2014-07-23 Kianoush Hosseini , Wei Yu , Raviraj S. Adve

This paper studies the impact of imperfect channel covariance information on the uplink (UL) and downlink (DL) spectral efficiencies (SEs) of a time-division duplexed (TDD) massive multiple-input multiple-output (MIMO) system. We derive…

Information Theory · Computer Science 2019-09-13 A. K. Kocharlakota , K. Upadhya , S. A. Vorobyov

It is well known that the performance of frequency-division-duplex (FDD) massive MIMO systems with i.i.d. channels is disappointing compared with that of time-division-duplex (TDD) systems, due to the prohibitively large overhead for…

Information Theory · Computer Science 2014-07-01 Zhiyuan Jiang , Andreas F. Molisch , Giuseppe Caire , Zhisheng Niu

Millimeter-wave (mmWave) massive MIMO used for access and backhaul in ultra-dense network (UDN) has been considered as the promising 5G technique. We consider such an heterogeneous network (HetNet) that ultra-dense small base stations (BSs)…

Information Theory · Computer Science 2016-11-17 Zhen Gao , Linglong Dai , Zhaocheng Wang

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

This paper is to design and optimize a non-orthogonal and noncoherent massive multiple-input multiple-output (MIMO) framework towards enabling scalable ultra-reliable low-latency communications (sURLLC) in wireless systems beyond 5G. In…

Signal Processing · Electrical Eng. & Systems 2020-02-19 He Chen , Zheng Dong , Jian-Kang Zhang , Branka Vucetic

Deploying massive number of antennas at the base station side can boost the cellular system performance dramatically. Meanwhile, it however involves significant additional radio-frequency (RF) front-end complexity, hardware cost and power…

Information Theory · Computer Science 2018-05-09 Zhiyuan Jiang , Sheng Zhou , Zhisheng Niu

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 consider a multiuser multiple-input multiple-output (MU-MIMO) communication system between a base station equipped with multiple antennas and multiple mobile users each equipped with a single antenna. The uplink scenario…

Information Theory · Computer Science 2014-09-23 Songtao Lu , Zhengdao Wang

This work investigates a multi-user, multi-antenna uplink wireless system, in which multiple users transmit signals to a base station. Prior research has explored the potential for linear growth in spectral efficiency by employing multiple…

Signal Processing · Electrical Eng. & Systems 2025-06-27 Sajad Daei , Gabor Fodor , Mikael Skoglund

The knowledge of the downlink (DL) channel spatial covariance matrix at the BS is of fundamental importance for large-scale array systems operating in frequency division duplexing (FDD) mode. In particular, this knowledge plays a key role…

Signal Processing · Electrical Eng. & Systems 2019-10-25 Lorenzo Miretti , Renato L. G. Cavalcante , Slawomir Stanczak

In this paper, we optimize user scheduling, power allocation and beamforming in distributed multiple-input multiple-output (MIMO) networks implementing user-centric clustering. We study both the coherent and non-coherent transmission modes,…

Information Theory · Computer Science 2021-08-16 Hussein A. Ammar , Raviraj Adve , Shahram Shahbazpanahi , Gary Boudreau , Kothapalli Venkata Srinivas