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For multi-input multi-output (MIMO) K-user interference networks, we propose the use of a channel transformation technique for joint detection of the useful and interference signals in an interference alignment scenario. We coin our…

Information Theory · Computer Science 2015-02-12 Yahya H. Ezzeldin , Karim G. Seddik

To leverage high-frequency bands in 6G wireless systems and beyond, employing massive multiple-input multipleoutput (MIMO) arrays at the transmitter and/or receiver side is crucial. To mitigate the power consumption and hardware complexity…

Signal Processing · Electrical Eng. & Systems 2025-10-01 Amin Radbord , Italo Atzeni , Antti Tölli

We study the maximum sum rate optimization problem in the multiple-input multiple-output interfering broadcast channel. The multiple-antenna transmitters and receivers are assumed to have perfect channel state information. In this setting,…

Information Theory · Computer Science 2015-07-07 Rami Mochaourab , Mats Bengtsson

Lattice reduction is a popular preprocessing strategy in multiple-input multiple-output (MIMO) detection. In a quest for developing a low-complexity reduction algorithm for large-scale problems, this paper investigates a new framework…

Information Theory · Computer Science 2019-12-16 Shanxiang Lyu , Jinming Wen , Jian Weng , Cong Ling

The Internet of things (IoT) holds much commercial potential and could facilitate distributed multiple-input multiple-output (MIMO) communication in future systems. We study a distributed reception scenario in which a transmitter equipped…

Information Theory · Computer Science 2014-09-30 Junil Choi , David J. Love , D. Richard Brown , Mireille Boutin

In this work, spatial diversity techniques in the area of multiple-input multiple-output (MIMO) diffusion-based molecular communications (DBMC) are investigated. For transmitter-side spatial coding, Alamouti-type coding and repetition MIMO…

Emerging Technologies · Computer Science 2017-07-25 Martin Damrath , H. Birkan Yilmaz , Chan-Byoung Chae , Peter Adam Hoeher

This paper studies a two-layer decoding method that mitigates inter-cell interference in multi-cell Massive MIMO systems. In layer one, each base station (BS) estimates the channels to intra-cell users and uses the estimates for local…

Information Theory · Computer Science 2019-03-19 Trinh Van Chien , Christopher Mollén , Emil Björnson

We consider the massive Multiple Input Multiple Output (MIMO) diversity channel affected by independent and identically distributed Rayleigh fading, with linear processing at both transmitter and receiver sides, and analyze the outage…

Information Theory · Computer Science 2023-02-08 Marco Martalo , Riccardo Raheli

Massive multiple-input--multiple-output (MIMO) systems can suffer from coherent intercell interference due to the phenomenon of pilot contamination. This paper investigates a two-layer decoding method that mitigates both coherent and…

Information Theory · Computer Science 2019-01-17 Trinh Van Chien , Christopher Mollén , Emil Björnson

Spectral efficiency of low-density spreading non-orthogonal multiple access channels in the presence of fading is derived for linear detection with independent decoding as well as optimum decoding. The large system limit, where both the…

Information Theory · Computer Science 2018-01-30 Mai T. P. Le , Guido Carlo Ferrante , Tony Q. S. Quek , Maria-Gabriella Di Benedetto

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

We consider large MIMO systems, where by `{\em large}' we mean number of transmit and receive antennas of the order of tens to hundreds. Such large MIMO systems will be of immense interest because of the very high spectral efficiencies…

Information Theory · Computer Science 2008-04-08 K. Vishnu Vardhan , Saif K. Mohammed , A. Chockalingam , B. Sundar Rajan

This article present a application of Block Korkin---Zolotarev lattice reduction method for Lattice Reduction---Aided decoding under MIMO---channel. We give a upper bound estimate on the lattice reduced by block Korkin---Zolotarev method…

Discrete Mathematics · Computer Science 2014-05-15 Vasily Usatyuk

A multiple-input multiple-output (MIMO) version of the dirty paper channel is studied, where the channel input and the dirt experience the same fading process and the fading channel state is known at the receiver (CSIR). This represents…

Information Theory · Computer Science 2017-06-22 Ahmed Hindy , Aria Nosratinia

In this contribution, the evaluation of the diversity of the MIMO MMSE receiver is addressed for finite rates in both flat fading channels and frequency selective fading channels with cyclic prefix. It has been observed recently that in…

Information Theory · Computer Science 2011-11-17 Florian Dupuy , Philippe Loubaton

Transmission of a Gaussian source over a time-varying multiple-input multiple-output (MIMO) channel is studied under strict delay constraints. Availability of a correlated side information at the receiver is assumed, whose quality, i.e.,…

Information Theory · Computer Science 2015-05-27 Iñaki Estella Aguerri , Deniz Gündüz

Precoding for multiple-input, multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For 2 transmit antennas and QAM constellations, an approximately optimal…

Information Theory · Computer Science 2015-03-17 K. Pavan Srinath , B. Sundar Rajan

Polar-coded multiple-input multiple-output systems are investigated. An advanced receiver implementing joint list decoding of polar codes and QR- and MMSE-based detectors is proposed. The approximate and exact path metrics are derived for…

Information Theory · Computer Science 2025-08-29 Liudmila Karakchieva , Peter Trifonov

Motivated by MIMO broad-band fading channel model, in this section a comparative study is presented regarding various uncoded adaptive and non-adaptive MIMO detection algorithms with respect to BER/PER performance, and hardware complexity.…

Other Computer Science · Computer Science 2010-06-17 Nirmalendu Bikas Sinha , R. Bera , M. Mitra

We propose novel deep joint source-channel coding (DeepJSCC) algorithms for wireless image transmission over multi-input multi-output (MIMO) Rayleigh fading channels, when channel state information (CSI) is available only at the receiver.…

Signal Processing · Electrical Eng. & Systems 2023-06-22 Chenghong Bian , Yulin Shao , Haotian Wu , Deniz Gunduz