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We propose a method for channel training and precoding in FDD massive MIMO based on deep neural networks (DNNs), exploiting Downlink (DL) channel covariance knowledge. The DNN is optimized to maximize the DL multi-user sum-rate, by…

Information Theory · Computer Science 2023-03-21 Yi Song , Tianyu Yang , Mahdi Barzegar Khalilsarai , Giuseppe Caire

In this paper, linear beamforming design for amplify-and-forward relaying cellular networks is considered, in which base station, relay station and mobile terminals are all equipped with multiple antennas. The design is based on minimum…

Information Theory · Computer Science 2011-12-02 Chengwen Xing , Minghua Xia , shaodan Ma , Yik-Chung Wu

The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep…

Information Theory · Computer Science 2024-04-26 Yiran Guo , Wei Chen , Jialong Xu , Lun Li , Bo Ai

Existing beamforming-based full-duplex solutions for multi-antenna wireless systems often rely on explicit estimation of the self-interference channel. The pilot overhead of such estimation, however, can be prohibitively high in…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Samuel Li , Ian P. Roberts

This paper focuses on energy recycling in full-duplex (FD) relaying multiple-input-multiple-output orthogonal frequency division multiplexing (OFDM) communication. The loop self-interference (SI) due to full-duplexing is seen as an…

Information Theory · Computer Science 2019-03-26 Ali A. Nasir , H. D. Tuan , T. Q. Duong , H. V. Poor

We study distributed algorithms for adjusting beamforming vectors and receiver filters in multiple-input multiple-output (MIMO) interference networks, with the assumption that each user uses a single beam and a linear filter at the…

Information Theory · Computer Science 2010-03-26 Changxin Shi , Randall A. Berry , Michael L. Honig

In this paper, we analyze the benefits of including downlink pilots in a cell-free massive MIMO system. We derive an approximate per-user achievable downlink rate for conjugate beamforming processing, which takes into account both uplink…

Information Theory · Computer Science 2019-09-10 Giovanni Interdonato , Hien Quoc Ngo , Erik G. Larsson , Pål Frenger

This letter studies deep learning (DL) approaches to optimize beamforming vectors in downlink multi-user multi-antenna systems that can be universally applied to arbitrarily given transmit power limitation at a base station. We exploit the…

Information Theory · Computer Science 2020-07-10 Junbeom Kim , Hoon Lee , Seung-Eun Hong , Seok-Hwan Park

A full-duplex two-way relay channel with multiple antennas is considered. For this three-node network, the beamforming design needs to suppress self-interference. While a traditional way is to apply zero-forcing for self-interference…

Information Theory · Computer Science 2016-10-18 Zhigang Wen , Shuai Wang , Xiaoqing Liu , Junwei Zou

In an in-band full-duplex system, radios transmit and receive simultaneously in the same frequency band at the same time, providing a radical improvement in spectral efficiency over a half-duplex system. However, in order to design such a…

One of the fundamental challenges to realize massive Multiple-Input Multiple-Output (MIMO) communications is the accurate acquisition of channel state information for a plurality of users at the base station. This is usually accomplished in…

Information Theory · Computer Science 2019-05-14 Chongwen Huang , George C. Alexandropoulos , Alessio Zappone , Chau Yuen , Mérouane Debbah

In this paper, we consider a dual-hop Multiple Input Multiple Output (MIMO) relay wireless network, in which a source-destination pair both equipped with multiple antennas communicates through a large number of half-duplex…

Networking and Internet Architecture · Computer Science 2013-02-07 Yu Zhang , Hanwen Luo , Wen Chen

In this paper multi-antenna half-duplex and full-duplex relaying are compared from the perspective of achievable rates. Full-duplexing operation requires additional resources at the relay such as antennas and RF chains for self-interference…

Information Theory · Computer Science 2013-03-13 Nirmal Shende , Ozgur Gurbuz , Elza Erkip

Reciprocity-based time-division duplex (TDD) Massive MIMO (multiple-input multiple-output) systems utilize channel estimates obtained in the uplink to perform precoding in the downlink. However, this method has been criticized of breaking…

Information Theory · Computer Science 2022-06-13 Ema Becirovic , Emil Björnson , Erik G. Larsson

We consider downlink channel training of a frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) system when a multi-antenna jammer is present in the network. The jammer intends to degrade mean square error (MSE) of…

Cryptography and Security · Computer Science 2019-04-04 Mohammad Amin Sheikhi , S. Mohammad Razavizadeh

We consider a multipair decode-and-forward relay channel, where multiple sources transmit simultaneously their signals to multiple destinations with the help of a full-duplex relay station. We assume that the relay station is equipped with…

Information Theory · Computer Science 2014-05-07 Hien Quoc Ngo , Himal A. Suraweera , Michail Matthaiou , Erik G. Larsson

Recent studies indicate the feasibility of in-band fullduplex (FD) wireless communications, where a wireless radio transmits and receives simultaneously in the same band. Due to its potential to increase the capacity, analyzing the…

Networking and Internet Architecture · Computer Science 2016-11-15 Peyman Tehrani , Farshad Lahouti , Michele Zorzi

The downlink transmission in multi-user multiple-input multiple-output (MIMO) systems has been extensively studied from both communication-theoretic and information-theoretic perspectives. Most of these papers assume perfect/imperfect…

Information Theory · Computer Science 2008-05-05 Jubin Jose , Alexei Ashikhmin , Phil Whiting , Sriram Vishwanath

Training sequences are designed to probe wireless channels in order to obtain channel state information for block-fading channels. Optimal training sounds the channel using orthogonal beamforming vectors to find an estimate that optimizes…

Information Theory · Computer Science 2014-04-04 Andrew J. Duly , Taejoon Kim , David J. Love , James V. Krogmeier

The conventional digital beamforming technique needs one radio frequency (RF) chain per antenna element. High power consumption, significantly high cost of RF chain components per antenna and complex signal processing task at base band…

Signal Processing · Electrical Eng. & Systems 2025-04-25 Om Nath Acharya , Ram Kaji Budhathoki , Santosh Shaha
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