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Hybrid digital and analog beamforming is a highly effective technique for implementing beamforming methods in millimeter wave (mmWave) systems. It provides a viable solution to replace the complex fully digital beamforming techniques.…

Information Theory · Computer Science 2025-09-30 Rohollah Vahdani , S. Mohammad Razavizadeh

In this contribution, models of wireless channels are derived from the maximum entropy principle, for several cases where only limited information about the propagation environment is available. First, analytical models are derived for the…

Information Theory · Computer Science 2007-07-13 M. Guillaud , M. Debbah , A. L. Moustakas

The problem of optimal resource allocation is studied for ergodic fading orthogonal multiaccess relay channels (MARCs) in which the users (sources) communicate with a destination with the aid of a half-duplex relay that transmits on a…

Information Theory · Computer Science 2009-02-10 Lalitha Sankar , Yingbin Liang , Narayan Mandayam , H. Vincent Poor

This paper investigates a three-node amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay network, where an autonomous relay harvests power from the source information flow and is further helped by an energy flow in the form…

Information Theory · Computer Science 2015-02-25 Yang Huang , Bruno Clerckx

This paper quantifies the information rate of multiple-input multiple-output (MIMO) systems with finite rate channel state feedback and power on/off strategy. In power on/off strategy, a beamforming vector (beam) is either turned on…

Information Theory · Computer Science 2007-07-13 Wei Dai , Youjian Liu , Brian Rider , Vincent K. N. Lau

Compared with a single-input-single-output (SISO) wireless communication system, the benefit of multiple-input-multiple-output (MIMO) technology originates from its extra degree of freedom (DOF), also referred as scattering channels or…

Information Theory · Computer Science 2022-10-19 Shuai S. A. Yuan , Zi He , Sheng Sun , Xiaoming Chen , Chongwen Huang , Wei E. I. Sha

The employment of stochastic geometry for the analysis and design of ultra dense networks (UDNs) has provided significant insights into network densification. In addition to the characterization of the network performance and behavior,…

Signal Processing · Electrical Eng. & Systems 2024-12-04 Alexis I. Aravanis , Thanh Tu Lam , Olga Muñoz , Antonio Pascual-Iserte , Marco Di Renzo

We consider a Gaussian MISO wiretap channel, where a multi-antenna source communicates with a single-antenna destination in the presence of a single-antenna eavesdropper. The communication is assisted by multi-antenna helpers that act as…

Information Theory · Computer Science 2012-09-20 Shuangyu Luo , Jiangyuan Li , Athina Petropulu

This paper considers the distribution of the mutual information of frequency-selective spatially-uncorrelated Rayleigh fading MIMO channels. Results are presented for OFDM-based spatial multiplexing. New exact closed-form expressions are…

Information Theory · Computer Science 2016-11-17 Matthew R. McKay , Peter J. Smith , Himal A. Suraweera , Iain B. Collings

The outage probability of maximal-ratio combining (MRC) for a multiple-input multiple-output (MIMO) wireless communications system under Rician fading is given by the cumulative distribution function (CDF) for the largest eigenvalue of a…

Statistics Theory · Mathematics 2018-05-01 Fadil Habibi Danufane , Katsuyoshi Ohara , Nobuki Takayama , Constantin Siriteanu

In this paper, the impacts of imperfect channel covariance matrix on the spectral efficiency (SE) of cell-free distributed massive multiple-input multiple-output (MIMO) systems are analyzed. We propose to estimate the channel covariance…

Information Theory · Computer Science 2022-12-21 Feng Ye , Jiamin Li , Pengcheng Zhu , Dongming Wang , Xiaohu You

This paper addresses one of the classical problems in random matrix theory-- finding the distribution of the maximum eigenvalue of the correlated Wishart unitary ensemble. In particular, we derive a new exact expression for the cumulative…

Signal Processing · Electrical Eng. & Systems 2018-11-19 Prathapasinghe Dharmawansa , Kumara Kahatapitiya , Saman Atapattu , Chintha Tellambura

The capacity of a fixed Gaussian multiple-input multiple-output (MIMO) channel and the optimal transmission strategy under the total power (TP) constraint and full channel state information are well-known. This problem remains open in the…

Information Theory · Computer Science 2016-12-15 S. Loyka

Obtaining channel covariance knowledge is of great importance in various Multiple-Input Multiple-Output MIMO communication applications, including channel estimation and covariance-based user grouping. In a massive MIMO system, covariance…

Information Theory · Computer Science 2019-11-01 Mahdi Barzegar Khalilsarai , Tianyu Yang , Saeid Haghighatshoar , Giuseppe Caire

Most communication systems use some form of feedback, often related to channel state information. The common models used in analyses either assume perfect channel state information at the receiver and/or noiseless state feedback links.…

Information Theory · Computer Science 2014-07-15 Vaneet Aggarwal , Ashutosh Sabharwal

Prior asymptotic performance analyses are based on the series expansion of the moment-generating function (MGF) or the probability density function (PDF) of channel coefficients. However, these techniques fail for lognormal fading channels…

Information Theory · Computer Science 2017-07-27 Bingcheng Zhu , Julian Cheng , Jun Yan , Jinyuan Wang , Lenan Wu , Yongjin Wang

This paper introduces Waste Factor (W) and Waste Figure (WF) to assess power efficiency in any multiple-input multiple-output (MIMO) or single-input multiple-output (SIMO) or multiple-input single-output (MISO) cascaded communication…

Information Theory · Computer Science 2024-09-19 Mingjun Ying , Dipankar Shakya , Theodore S. Rappaport

Communication efficiency is of importance for wireless federated learning systems. In this paper, we propose a communication-efficient strategy for federated learning over multiple-input multiple-output (MIMO) multiple access channels…

Information Theory · Computer Science 2022-06-14 Yo-Seb Jeon , Mohammad Mohammadi Amiri , Namyoon Lee

Electromagnetic information theory (EIT) is an interdisciplinary subject that serves to integrate deterministic electromagnetic theory with stochastic Shannon's information theory. Existing EIT analysis operates in the continuous space…

Information Theory · Computer Science 2024-06-10 Jieao Zhu , Vincent Y. F. Tan , Linglong Dai

Orthogonal frequency-division multiplexing (OFDM) time-domain signals exhibit high peak-to-average (power) ratio (PAR), which requires linear radio-frequency chains to avoid an increase in error-vector magnitude (EVM) and out-of-band (OOB)…

Information Theory · Computer Science 2022-12-26 Sueda Taner , Christoph Studer