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In this correspondence, we analyze the ergodic capacity of a large uplink multi-user multiple-input multiple-output (MU-MIMO) system over generalized-$K$ fading channels. In the considered scenario, multiple users transmit their information…

Information Theory · Computer Science 2016-11-18 Ang Yang , Zunwen He , Chengwen Xing , Zesong Fei , Jingming Kuang

In this paper, we propose a new channel estimation scheme for TDD/FDD massive MIMO systems by reconstructing uplink/downlink channel covariance matrices (CCMs) with the aid of array signal processing techniques. Specifically, the angle…

Information Theory · Computer Science 2017-10-03 Hongxiang Xie , Feifei Gao , Shi Jin , Jun Fang , Ying-Chang Liang

While more and more antennas are integrated into single mobile user equipment to increase communication quality and throughput, the number of antennas used for transmission is commonly restricted due to the concerns on hardware complexity…

Networking and Internet Architecture · Computer Science 2019-02-12 Aleksei Fedorov , Haibo Zhang , Galina Sidorenko , Bo Yang

We consider the downlink of a massive multiuser (MU) multiple-input multiple-output (MIMO) system in which the base station (BS) is equipped with low-resolution digital-to-analog converters (DACs). In contrast to most existing results, we…

Information Theory · Computer Science 2019-01-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Christoph Studer

In this paper, we propose a novel joint caching and massive multiple-input multiple-output (MIMO) transmission scheme, referred to as cache-aided massive MIMO, for advanced downlink cellular communications. In addition to reaping the…

Signal Processing · Electrical Eng. & Systems 2019-03-25 Xiao Wei , Lin Xiang , Laura Cottatellucci , Tao Jiang , Robert Schober

Massive MIMO is seen as a main enabler for low latency communications, thanks to its high spatial degrees of freedom. The channel hardening and favorable propagation properties of Massive MIMO are particularly important for multiplexing…

Information Theory · Computer Science 2020-07-10 Alexandru-Sabin Bana , Luca Sanguinetti , Elisabeth De Carvalho , Petar Popovski

We design a jamming-resistant receiver scheme to enhance the robustness of a massive MIMO uplink system against jamming. We assume that a jammer attacks the system both in the pilot and data transmission phases. The key feature of the…

Information Theory · Computer Science 2017-03-01 Tan Tai Do , Emil Björnson , Erik G. Larsson , S. Mohammad Razavizadeh

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a simple multiuser zero-forcing (ZF) linear precoding…

Information Theory · Computer Science 2013-04-18 Saeed Kaviani , Witold A. Krzymien

Power allocation is an important task in wireless communication networks. Classical optimization algorithms and deep learning methods, while effective in small and static scenarios, become either computationally demanding or unsuitable for…

Systems and Control · Electrical Eng. & Systems 2025-09-04 Irched Chafaa , Giacomo Bacci , Luca Sanguinetti

In TDD reciprocity-based massive MIMO it is essential to be able to compute the downlink precoding matrix over all OFDM resource blocks within a small fraction of the uplink-downlink slot duration. Early implementation of massive MIMO are…

Information Theory · Computer Science 2017-11-15 Andreas Benzin , Giuseppe Caire , Yonatan Shadmi , Antonia Tulino

Traditional approaches in the analysis of downlink systems decouple the precoding and the channel estimation problems. However, in cellular systems with mobile users, these two problems are in fact tightly coupled. In this paper, this…

Information Theory · Computer Science 2016-11-18 Jubin Jose , Alexei Ashikhmin , Phil Whiting , Sriram Vishwanath

In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperative uplink transmission and detection scheme is first…

Information Theory · Computer Science 2019-04-30 Yang Li , Zezhong Zhang , Rui Wang , Kaibin Huang , Yifan Chen

A subspace projection to improve channel estimation in massive multi-antenna systems is proposed and analyzed. Together with power-controlled hand-off, it can mitigate the pilot contamination problem without the need for coordination among…

Information Theory · Computer Science 2014-12-30 Ralf Müller , Laura Cottatellucci , Mikko Vehkaperä

We consider a multiuser (MU) multiple-input multiple-output (MIMO) time-division duplexing (TDD) system in which the base station (BS) is equipped with a large number of antennas for communicating with single-antenna mobile users. In such a…

Information Theory · Computer Science 2013-12-05 Ko-Feng Chen , Yen-Cheng Liu , Yu T. Su

Massive multiple-input multiple-output (MIMO) systems are strong candidates for future fifth generation (5G) heterogeneous cellular networks. For 5G, a network densification with a high number of different classes of users and data service…

Information Theory · Computer Science 2016-11-18 L. Arevalo , R. C. de Lamare , M. Haardt , R. Sampaio-Neto

We consider the problem of downlink training and channel estimation in frequency division duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large number of antennas serves a number of single-antenna users…

Information Theory · Computer Science 2016-08-01 Jun Fang , Xingjian Li , Hongbin Li , Feifei Gao

Massive multiple-input multiple-output (MIMO) enjoys great advantage in 5G wireless communication systems owing to its spectrum and energy efficiency. However, hundreds of antennas require large volumes of pilot overhead to guarantee…

Signal Processing · Electrical Eng. & Systems 2023-09-26 An Chen , Wenbo Xu , Liyang Lu , Yue Wang

Considering a heterogeneous network (HetNet) where both macro base station (BS) and small cell (SC) nodes are equipped with massive antennas, this paper studies the performance for multiple-input multiple-output (MIMO) downlinks when the…

Information Theory · Computer Science 2016-08-15 Yongyu Dai , Xiaodai Dong , Hai Lin

In this paper, we investigate optimal downlink power allocation in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays (DAAs) under correlated and uncorrelated channel fading. In DAA massive MIMO, the base…

Information Theory · Computer Science 2020-10-27 Noman Akbar , Emil Bjornson , Nan Yang , Erik G. Larsson
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