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We consider slow fading relay channels with a single multi-antenna source-destination terminal pair. The source signal arrives at the destination via N hops through N-1 layers of relays. We analyze the diversity of such channels with fixed…

Information Theory · Computer Science 2007-08-03 Sheng Yang , Jean-Claude Belfiore

This paper presents an analytical characterization of the ergodic capacity of amplify-and-forward (AF) MIMO dual-hop relay channels, assuming that the channel state information is available at the destination terminal only. In contrast to…

Information Theory · Computer Science 2016-11-17 Shi Jin , Matthew R. McKay , Caijun Zhong , Kai-Kit Wong

We propose an iterative channel estimation algorithm based on the Least Square Estimation (LSE) and Sparse Message Passing (SMP) algorithm for the Millimeter Wave (mmWave) MIMO systems. The channel coefficients of the mmWave MIMO are…

Information Theory · Computer Science 2022-06-23 Chongwen Huang , Lei Liu , Chau Yuen , Sumei Sun

Multiple-input multiple-output (MIMO) systems greatly increase the overall throughput of wireless systems since they are capable of transmitting multiple streams employing the same time-frequency resources. However, this gain requires an…

Information Theory · Computer Science 2022-02-15 A. Flores , R. C. de Lamare

We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system, wherein each user may receive more than one data stream. We propose several mean squared error (MSE) based criteria for…

Information Theory · Computer Science 2009-02-10 Adam J. Tenenbaum , Raviraj S. Adve

This paper presents a data-aided channel estimator that reduces the channel estimation error of the conventional linear minimum-mean-squared-error (LMMSE) method for multiple-input multiple-output communication systems. The basic idea is to…

Signal Processing · Electrical Eng. & Systems 2020-03-24 Yo-Seb Jeon , Jun Li , Nima Tavangaran , H. Vincent Poor

Minimizing training overhead in channel estimation is a crucial challenge in wireless communication systems. This paper presents an extension of the traditional blind algorithm, called "Mutually referenced equalizers" (MRE), specifically…

Signal Processing · Electrical Eng. & Systems 2024-04-16 Do Hai Son , Karim Abed-Meraim , Tran Trong Duy , Nguyen Linh Trung , Tran Thi Thuy Quynh

In this paper, we address the antenna selection (AS) problem in full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) systems, where a multi-antenna FD relay bridges the connection between the multi-antenna base station and…

Information Theory · Computer Science 2022-02-28 Zahra Mobini , Mohammadali Mohammadi , Theodoros A. Tsiftsis , Zhiguo Ding , Chintha Tellambura

In this paper, a cooperative relay network consisting of a single-antenna source, a multi-antenna relay, and a multi-antenna destination is considered. The relay operates in decode-and-forward (DF) mode under frequency-selective fading. To…

Signal Processing · Electrical Eng. & Systems 2025-03-17 Farshad Dizani , Ali Olfat

We develop greedy algorithms to approximate the optimal solution to the multi-fidelity sensor selection problem, which is a cost constrained optimization problem prescribing the placement and number of cheap (low signal-to-noise) and…

Signal Processing · Electrical Eng. & Systems 2020-05-08 Emily Clark , Steven L. Brunton , J. Nathan Kutz

In this work we propose an approximate Minimum Mean-Square Error (MMSE) filter for linear dynamic systems with Gaussian Mixture noise. The proposed estimator tracks each component of the Gaussian Mixture (GM) posterior with an individual…

Systems and Control · Computer Science 2015-06-26 Leila Pishdad , Fabrice Labeau

This paper proposes a low complexity precoding algorithm based on the recently proposed Generalized Least Square Error (GLSE) scheme with generic penalty and support. The algorithm iteratively constructs the transmit vector via Approximate…

Information Theory · Computer Science 2018-01-09 Ali Bereyhi , Mohammad Ali Sedaghat , Ralf R. Müller

We consider two-way amplify and forward relaying, where multiple full-duplex user pairs exchange information via a shared full-duplex massive multiple-input multiple-output (MIMO) relay. Most of the previous massive MIMO relaying works…

Information Theory · Computer Science 2017-10-05 Ekant Sharma , Rohit Budhiraja , K Vasudevan , Lajos Hanzo

We investigate the problem of antenna selection (AS) in full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) systems, where a multi-antenna FD relay assists transmission from a multi-antenna base station (BS) to a far user,…

Information Theory · Computer Science 2018-02-13 Mohammadali Mohammadi , Zahra Mobini , Himal A. Suraweera , Zhiguo Ding

In this paper, we propose a relative channel estimation error (RCEE) metric, and derive closed-form expressions for its expectation $\rm {Exp}_{rcee}$ and the achievable uplink rate holding for any number of base station antennas $M$, with…

Information Theory · Computer Science 2017-05-16 Pei Liu , Shi Jin , Tao Jiang , Qi Zhang , Michail Matthaiou

In this paper, we consider the arbitrary MIMO two-way relay channels, where there are $K$ source nodes, each equipped with $M_i$ antennas, for $i=1,2,\cdots,K$, and one relay node, equipped with $N$ antennas. Each source node can exchange…

Information Theory · Computer Science 2016-11-17 Kangqi Liu , Meixia Tao , Dingcheng Yang

Precoding design for maximizing weighted sum-rate (WSR) is a fundamental problem for downlink of massive multi-user multiple-input multiple-output (MU-MIMO) systems. It is well-known that this problem is generally NP-hard due to the…

Signal Processing · Electrical Eng. & Systems 2023-03-22 Xiaotong Zhao , Siyuan Lu , Qingjiang Shi , Zhi-Quan Luo

This paper considers a dual-hop amplify-and-forward (AF) relaying system where the relay is equipped with multiple antennas, while the source and the destination are equipped with a single antenna. Assuming that the relay is subjected to…

Information Theory · Computer Science 2014-01-07 Guangxu Zhu , Caijun Zhong , Himal A. Suraweera , Zhaoyang Zhang , Chau Yuen

We present a novel stagewise strategy for improving greedy algorithms for sparse recovery. We demonstrate its efficiency both for synthesis and analysis sparse priors, where in both cases we demonstrate its computational efficiency and…

Numerical Analysis · Mathematics 2020-12-02 Guy Leibovitz , Raja Giryes

This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user…

Signal Processing · Electrical Eng. & Systems 2019-03-19 Jun Xu , Pengcheng Zhu , Jiamin Li , Xiaohu You