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This study investigates the mean capacity of multiple-input multiple-output (MIMO) systems for spatially semi-correlated flat fading channels. In reality, the capacity degrades dramatic due to the channel covariance (CC) when correlations…

Information Theory · Computer Science 2016-09-27 Md. Abdul Latif Sarker , Moon Ho Lee

The low complexity quantization of channel state information (CSI) and the utilization of vertical freedom of three dimension (3D) channels are two critical issues in the limited feedback design of the \emph{full dimension…

Information Theory · Computer Science 2016-05-04 Lisi Jiang , Juling Zeng

Transmitter channel state information (CSIT) is crucial for the multiplexing gains offered by advanced interference management techniques such as multiuser MIMO and interference alignment. Such CSIT is usually obtained by feedback from the…

Information Theory · Computer Science 2012-07-02 Mohammad Ali Maddah-Ali , David Tse

The recent combination of the rising architectures, known as stacked intelligent metasurface (SIM) and holographic multiple-input multiple-output (HMIMO), drives toward breakthroughs for next-generation wireless communication systems. Given…

Information Theory · Computer Science 2025-02-19 Anastasios Papazafeiropoulos , Pandelis Kourtessis , Dimitra I. Kaklamani , Iakovos S. Venieris

In this work, we consider linear-feedback schemes for the two-user Gaussian broadcast channel with noiseless feedback. We extend the transmission scheme of [Ozarow and Leung, 1984] by applying estimators with memory instead of the…

Information Theory · Computer Science 2014-12-23 Yonathan Murin , Yonatan Kaspi , Ron Dabora

For the multiuser multiple-input multiple-output (MIMO) downlink channel, the users feedback their channel state information (CSI) to help the base station (BS) schedule users and improve the system sum rate. However, this incurs a large…

Information Theory · Computer Science 2011-03-22 Jin-Hao Li , Hsuan-Jung Su , Yu-Lun Tsai

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical performance gains in massive MIMO systems, accurate channel state…

Information Theory · Computer Science 2017-01-30 Wenqian Shen , Linglong Dai , Yi Shi , Byonghyo Shim , Zhaocheng Wang

As shown by M\'edard, the capacity of fading channels with imperfect channel-state information (CSI) can be lower-bounded by assuming a Gaussian channel input $X$ with power $P$ and by upper-bounding the conditional entropy $h(X|Y,\hat{H})$…

Information Theory · Computer Science 2016-11-15 Adriano Pastore , Tobias Koch , Javier Rodríguez Fonollosa

Wireless fading channels suffer from both channel fadings and Additive White Gaussian Noise (AWGN). As a result, it is impossible for fading channels to support a constant rate data stream without using buffers. In this paper, we consider…

Information Theory · Computer Science 2017-12-15 Yunquan Dong , Pingyi Fan

The capacity of non-coherent stationary Gaussian fading channels with memory under a peak-power constraint is studied in the asymptotic weak-signal regime. It is assumed that the fading law is known to both transmitter and receiver but that…

Information Theory · Computer Science 2007-07-13 Amos Lapidoth , Ligong Wang

Selection combining (SC) at the destination for differential amplify-and-forward (AF) relaying is attractive as it does not require channel state information as compared to the semi maximum-ratio-combining (semi-MRC) while delivering close…

Information Theory · Computer Science 2014-04-01 M. R. Avendi , Ha H. Nguyen

This paper discusses a new channel model and code design for the reader-to-tag channel in near-field passive radio frequency identification (RFID) systems using inductive coupling as a power transfer mechanism. If the receiver…

Information Theory · Computer Science 2016-11-17 Ángela I. Barbero , Eirik Rosnes , Guang Yang , Øyvind Ytrehus

The premise of massive multiple-input multiple-output (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation…

Information Theory · Computer Science 2020-03-04 Harsh Tataria , Fredrik Tufvesson

In this paper, we investigate the problem of transmitting an analog source to a destination over $N$ uses of an additive-white-Gaussian-noise (AWGN) channel, where $N$ is very small (in the order of 10 or even less). The proposed coding…

Information Theory · Computer Science 2024-02-01 Mohammad Ali Maddah-Ali , Soheil Mohajer

A simple channel state information (CSI) feedback scheme is proposed for interference alignment (IA) over the K-user constant Multiple-Input-Multiple-Output Interference Channel (MIMO IC). The proposed technique relies on the identification…

Information Theory · Computer Science 2015-02-17 Mohsen Rezaee , Maxime Guillaud

This paper significantly advances the application of Quantum Key Distribution (QKD) in Free- Space Optics (FSO) satellite-based quantum communication. We propose an innovative satellite quantum channel model and derive the secret quantum…

Signal Processing · Electrical Eng. & Systems 2024-10-22 Mouli Chakraborty , Anshu Mukherjee , Ioannis Krikidis , Avishek Nag , Subhash Chandra

In this paper, we study the sensitivity and robustness of Space Shift Keying (SSK) modulation to imperfect channel knowledge at the receiver. Unlike the common widespread belief, we show that SSK modulation is more robust to imperfect…

Performance · Computer Science 2016-11-18 Marco Di Renzo , Dario De Leonardis , Fabio Graziosi , Harald Haas

We investigate the fading cognitive multiple access wiretap channel (CMAC-WT), in which two secondary-user transmitters (STs) send secure messages to a secondary-user receiver (SR) in the presence of an eavesdropper (ED) and subject to…

Signal Processing · Electrical Eng. & Systems 2020-03-31 Juening Jin , Chengshan Xiao , Meixia Tao , Wen Chen

Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information…

Information Theory · Computer Science 2015-04-01 Min Soo Sim , Jeonghun Park , Chan-Byoung Chae , Robert W. Heath

We consider the massive MIMO downlink with time-division duplex (TDD) operation and conjugate beamforming transmission. To reliably decode the desired signals, the users need to know the effective channel gain. In this paper, we propose a…

Information Theory · Computer Science 2015-04-01 Hien Quoc Ngo , Erik G. Larsson