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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

The problem of energy-efficient precoding is investigated when the terminals in the system are equipped with multiple antennas. Considering static and fast-fading multiple-input multiple-output (MIMO) channels, the energy-efficiency is…

Information Theory · Computer Science 2015-05-20 E. V. Belmega , S. Lasaulce

This paper studies the capacity of a general multiple-input multiple-output (MIMO) free-space optical intensity channel under a per-input-antenna peak-power constraint and a total average-power constraint over all input antennas. The focus…

Information Theory · Computer Science 2020-02-04 Longguang Li , Stefan M. Moser , Ligong Wang , Michèle Wigger

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it preferable to get…

Information Theory · Computer Science 2016-11-17 Niranjay Ravindran , Nihar Jindal

Multiple-input multiple-output (MIMO) or multi-antenna communication is a key technique to achieve high spectral efficiency in wireless systems. For the point-to-point MIMO channel, it is a well-known result that the channel singular value…

Information Theory · Computer Science 2016-11-17 Liang Liu , Rui Zhang

In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the secondary transmitter operates in a spatial multiplexing transmission mode, while a…

Information Theory · Computer Science 2018-01-23 Nikolaos I. Miridakis , Theodoros A. Tsiftsis , George C. Alexandropoulos

Holographic multiple-input multiple-output (HMIMO) communication systems utilize spatially-constrained massive MIMO arrays containing large numbers of antennas with sub-wavelength spacing, and have emerged as a promising candidate…

Information Theory · Computer Science 2023-04-18 Sarah Bahanshal , Qurrat-Ul-Ain Nadeem , Md. Jahangir Hossain

The joint design of spatial channel assignment and power allocation in Multiple Input Multiple Output (MIMO) systems capable of Simultaneous Wireless Information and Power Transfer (SWIPT) is studied. Assuming availability of channel state…

Information Theory · Computer Science 2017-10-25 Deepak Mishra , George C. Alexandropoulos

A limitation of bandwidth in the wireless network and the exponential rise in the high data rate requirement prompted the development of Massive Multiple-Input-Multiple-Output (MIMO) technique in 5G. Using this method the ever rising data…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Mariea Sharaf Anzum , Moontasir Rafique , Md. Asif Ishrak Sarder , Fehima Tajrian , Abdullah Bin Shams

Massive MIMO systems promise high data rates by employing large number of antennas, which also increases the power usage of the system as a consequence. This creates an optimization problem which specifies how many antennas the system…

Information Theory · Computer Science 2017-06-15 Masoud Arash , Ehsan Yazdian , Mohammad sadegh Fazel , Glauber Brante , Muhammad Imran

Massive multi-input multi-output (MIMO) uses a very large number of low-power transmit antennas to serve much smaller numbers of users. The most widely proposed type of massive MIMO transmit beamforming is zero-forcing, which is based on…

Information Theory · Computer Science 2017-12-12 Long D. Nguyen , Hoang D. Tuan , Trung Q. Duong , H. Vincent Poor

This paper considers a deterministic physical model of massive multiple-input multiple-output (MIMO) systems with uniform linear antenna arrays. It is known that the maximum spatial degrees of freedom is achieved by spacing antenna elements…

Information Theory · Computer Science 2016-01-22 Keigo Takeuchi

Massive MIMO is a promising technique to increase the spectral efficiency of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing coherent beamforming. A common…

Information Theory · Computer Science 2014-11-21 Emil Björnson , Erik G. Larsson , Mérouane Debbah

Multi-user Multiple-Input Multiple-Output (MIMO) offers big advantages over conventional point-to-point MIMO: it works with cheap single-antenna terminals, a rich scattering environment is not required, and resource allocation is simplified…

Information Theory · Computer Science 2016-11-18 Erik G. Larsson , Ove Edfors , Fredrik Tufvesson , Thomas L. Marzetta

This paper considers multiple-input multiple-output (MIMO) relay communication in multi-cellular (interference) systems in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe attenuation and/or…

Information Theory · Computer Science 2017-03-28 Muhammad R A Khandaker , Kai-Kit Wong

In this paper we consider a communication system with one transmitter and one receiver. The transmit antennas are partitioned into disjoint groups, and each group must satisfy an average power constraint in addition to the standard overall…

Information Theory · Computer Science 2023-05-03 Mahdi Khojastehnia , Ioannis Lambadaris , Ramy H Gohary , Sergey Loyka

A large-scale distributed antenna system that serves the users by coherent joint transmission is called Cell-free Massive MIMO (multiple input multiple output). For a given user set, only a subset of the access points (APs) is likely needed…

Information Theory · Computer Science 2019-11-27 Trinh Van Chien , Emil Björnson , Erik G. Larsson

In this work, we consider the downlink of a multi-cell multiple-input multiple-output (MIMO) system and find the jointly optimal number of base station (BS) antennas and transmission powers that minimize the power consumption while…

Information Theory · Computer Science 2019-02-22 Kamil Senel , Emil Björnson , Erik G. Larsson

Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order…

Information Theory · Computer Science 2016-11-16 Eduardo Castañeda , Adão Silva , Atílio Gameiro , Marios Kountouris

This paper presents a generalized closed-form beamforming technique that can achieve the maximum degrees of freedom in compounded multiple-input multiple-output (MIMO) broadcast channels with mixed classes of multiple-antenna users. The…

Information Theory · Computer Science 2020-04-27 Galymzhan Nauryzbayev , Emad Alsusa , Mohamed Abdallah