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This paper tackles the problem of the simultaneous interference among the multiple users in the downlink of a wireless multiantenna system. In order to exploit the multiuser interference and transform it into useful power at the receiver…

Signal Processing · Electrical Eng. & Systems 2020-11-10 Maha Alodeh , Björn Ottersten

In this paper, we investigate the downlink communication challenges in heavy-load Internet-of-Things (IoT) networks supported by frequency-division-duplexing (FDD) millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2025-02-18 Jeongjae Lee , Songnam Hong

In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the…

Information Theory · Computer Science 2020-06-03 Yaqiong Zhao , Wei Xu , Jindan Xu , Shi Jin , Kezhi Wang , Mohamed-Slim Alouini

In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider…

Information Theory · Computer Science 2014-01-22 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

We propose a method for MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. The proposed method requires some structure in the transmitted signal for the decoding to be effective, in…

Signal Processing · Electrical Eng. & Systems 2018-02-06 Thomas R. Dean , Mary Wootters , Andrea J. Goldsmith

Reliable communication over delay-constrained block-fading channels with discrete inputs and mismatched (imperfect) channel state information at the transmitter (CSIT) is studied. The CSIT mismatch is modeled as Gaussian random variables,…

Information Theory · Computer Science 2009-06-02 Tung T. Kim , Albert Guillen i Fabregas

Conventional MU-MIMO techniques, e.g. Linear Zero-Forced Beamforming (LZFB), require sufficiently accurate channel state information at the transmitter (CSIT) in order to realize spectral efficient transmission (degree of freedom gains). In…

Information Theory · Computer Science 2011-09-30 Ansuman Adhikary , Haralabos C. Papadopoulos , Sean A. Ramprashad , Giuseppe Caire

We consider a multi-cell massive MIMO system where a time-division duplex protocol is used to estimate the channel state information via uplink pilots. When maximum ratio combining (MRC) is used at the BSs, the re-use of pilots across cells…

Information Theory · Computer Science 2019-11-26 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran

Hybrid precoding plays a key role in realizing massive multiple-input multiple-output (MIMO) transmitters with controllable cost. MIMO precoders are required to frequently adapt based on the variations in the channel conditions. In hybrid…

Signal Processing · Electrical Eng. & Systems 2023-01-03 Ortal Lavi , Nir Shlezinger

The two-user multiple-input multiple-output (MIMO) interference channel (IC) with arbitrary number of antennas at each terminal is considered and the degrees of freedom (DoF) region is characterized in the presence of noiseless channel…

Information Theory · Computer Science 2016-11-17 Ravi Tandon , Soheil Mohajer , H. Vincent Poor , Shlomo Shamai

We investigate the effect of feedback delay on the outage probability of multiple-input single-output (MISO) fading channels. Channel state information at the transmitter (CSIT) is a delayed version of the channel state information…

Information Theory · Computer Science 2016-11-17 Venkata Sreekanta Annpureddy , Devdutt V. Marathe , T. R. Ramya , Srikrishna Bhashyam

Coarsely quantized MIMO signalling methods have gained popularity in the recent developments of massive MIMO as they open up opportunities for massive MIMO implementation using cheap and power-efficient radio-frequency front-ends. This…

Information Theory · Computer Science 2020-01-08 Mingjie Shao , Wing-Kin Ma , Qiang Li , Lee Swindlehurst

Information transmission over a multiple-input-multiple-output (MIMO) fading channel with imperfect channel state information (CSI) is investigated, under a new receiver architecture which combines the recently proposed generalized nearest…

Information Theory · Computer Science 2021-09-02 Shuqin Pang , Wenyi Zhang

This paper proposes an adaptive multi-mode transmission strategy to improve the spectral efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with delayed and quantized channel state information. The adaptive…

Information Theory · Computer Science 2016-11-17 Jun Zhang , Marios Kountouris , Jeffrey G. Andrews , Robert W. Heath

We analyze a MISO downlink channel where a multi-antenna transmitter communicates with a large number of single-antenna receivers. Using linear beamforming or nonlinear precoding techniques, the transmitter can serve multiple users…

Information Theory · Computer Science 2018-05-07 Sebastian Schiessl , James Gross , Giuseppe Caire

Symbol-level precoding is a new paradigm for multiuser downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna…

Information Theory · Computer Science 2017-04-12 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

In this paper, we consider dynamic precoder/decorrelator optimization for multimedia streaming in MIMO interference networks. We propose a truly cross-layer framework in the sense that the optimization objective is the application level…

Information Theory · Computer Science 2015-06-18 Fan Zhang , Vincent K. N. Lau

MIMO systems are considered as most promising for wireless communications. However, with an increasing number of radio front ends the corresponding energy consumption and costs become an issue, which can be relieved by the utilization of…

Information Theory · Computer Science 2019-09-30 Erico S. P. Lopes , Lukas T. N. Landau

Efficient channel state information at transmitter (CSIT) for frequency division duplex (FDD) massive MIMO can facilitate its backward compatibility with existing FDD cellular networks. To date, several CSIT estimation schemes have been…

Information Theory · Computer Science 2021-08-24 Yikun Mei , Zhen Gao

We consider a MIMO fading broadcast channel where channel state information is acquired at user terminals via downlink training and channel feedback is used to provide transmitter channel state information (CSIT) to the base station. The…

Information Theory · Computer Science 2016-11-15 Mari Kobayashi , Nihar Jindal , Giuseppe Caire
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