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Massive MIMO (Multiple-Input Multiple-Output) is a key enabler for 5G and future wireless systems, boosting channel capacity, energy efficiency, and spectral efficiency. However, high power consumption and hardware costs of…

Optimization and Control · Mathematics 2025-12-08 Jie Zhang , Huifu Xu

This paper considers pilot-based channel estimation in large-scale multiple-input multiple-output (MIMO) communication systems, also known as "massive MIMO". Unlike previous works on this topic, which mainly considered the impact of…

Information Theory · Computer Science 2013-07-18 Nafiseh Shariati , Emil Björnson , Mats Bengtsson , Mérouane Debbah

Massive multiple-input multiple-output (MIMO) is a key technology for 5G wireless communications with a promise of significant capacity increase. The use of low-resolution data converters is crucial for massive MIMO to make the overall…

Information Theory · Computer Science 2019-02-13 Yavuz Yapıcı , Sung Joon Maeng , İsmail Güvenç , Huaiyu Dai , Arupjyoti Bhuyan

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

It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the number of feedback bits is not sufficient. To overcome such a…

Information Theory · Computer Science 2024-07-09 Wentao Zhou , Di Zhang , Merouane Debbah , Inkyu Lee

The high energy consumption of massive multi-input multi-out (MIMO) system has become a prominent problem in the millimeter wave(mm-Wave) communication scenario. The hybrid precoding technology greatly reduces the number of radio…

Signal Processing · Electrical Eng. & Systems 2019-08-02 Kai Chen , Jing Yang , Xiaohu Ge , Yonghui Li

Massive multiple-input multiple-output (MIMO) systems achieve high sum spectral efficiency by offering an order of magnitude increase in multiplexing gains. In time division duplexing systems, however, the reuse of uplink training pilots…

Information Theory · Computer Science 2016-10-14 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

In massive multiple-input multiple-output (MIMO) systems, achieving high spectral efficiency (SE) often requires advanced precoding algorithms whose complexity scales rapidly with the number of antennas, limiting practical deployment. In…

Signal Processing · Electrical Eng. & Systems 2026-03-13 Seunghyeong Yoo , Mintaek Oh , Jeonghun Park , Namyoon Lee , Jinseok Choi

Linear precoding is a relatively simple method of MIMO signaling that can also be optimal in certain special cases. This paper is dedicated to high-SNR analysis of MIMO linear precoding. The Diversity-Multiplexing Tradeoff (DMT) of a number…

Information Theory · Computer Science 2012-02-27 Ahmed Hesham Mehana , Aria Nosratinia

Fully digital massive MIMO systems with large numbers (1000+) of antennas offer dramatically increased capacity gains from spatial multiplexing and beamforming. Designing digital receivers that can scale to these array dimensions presents…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Ali Rasteh , Amirreza Kiani , Marco Mezzavilla , Sundeep Rangan

We present a novel and low-complexity massive multiple-input multiple-output (MIMO) precoding strategy based on novel findings concerning the subspace separability of Rician fading channels. Considering a uniform rectangular array at the…

Signal Processing · Electrical Eng. & Systems 2020-09-22 Lucas N. Ribeiro , Stefan Schwarz , André L. F. de Almeida , Martin Haardt

MIMO systems are considered as most promising for wireless communications. However, with an increasing number of radio front ends the corresponding energy consumption and costs become an issue, which can be relieved by the utilization of…

Information Theory · Computer Science 2019-09-30 Erico S. P. Lopes , Lukas T. N. Landau

This paper considers the large-scale fading precoding design for mitigating the pilot contamination in the downlink of multi-cell massive MIMO (multiple-input multiple-output) systems. Rician fading with spatially correlated channels are…

Information Theory · Computer Science 2020-02-05 Özlem Tugfe Demir , Emil Björnson

Precoding is a method of compensating the channel at the transmitter. This work presents a novel method of data detection in turbo coded single user massive multiple input multiple output (MIMO) systems using precoding. We show via computer…

Information Theory · Computer Science 2020-08-03 K. Vasudevan , Gyanesh Kumar Pathak , A. Phani Kumar Reddy

Cell-free massive multiple-input multiple-output (MIMO) is a key technology for next-generation wireless systems. The integration of cell-free massive MIMO within the open radio access network (O-RAN) architecture addresses the growing need…

Signal Processing · Electrical Eng. & Systems 2026-05-04 Mohammad Hossein Shokouhi , Vincent W. S. Wong

In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider…

Information Theory · Computer Science 2014-01-22 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

We consider a downlink multiuser multiple-input multiple output (MIMO) system employing regularized zero-forcing (RZF) precoding. We derive the asymptotic signal-to-leakage-plus-noise ratio (SLNR) as both the number of antennas and the…

Information Theory · Computer Science 2016-09-13 Sungwoo Park , Jeonghun Park , Ali Yazdan Panah , Robert W. Heath

This paper investigates the linear precoder design for $K$-user interference channels of multiple-input multiple-output (MIMO) transceivers under finite alphabet inputs. We first obtain general explicit expressions of the achievable rate…

Information Theory · Computer Science 2016-11-18 Yongpeng Wu , Chengshan Xiao , Xiqi Gao , John D. Matyjas , Zhi Ding

Nonlinear precoding and pulse shaping are jointly considered in multi-user massive multiple-input multiple-output (MIMO) systems with low-resolution D/A-converters (DACs) in terms of algorithmic approach as well as large system performance.…

Information Theory · Computer Science 2021-06-29 Amine Mezghani , Robert W. Heath

The primary source of nonlinear distortion in wireless transmitters is the power amplifier (PA). Conventional digital predistortion (DPD) schemes use high-order polynomials to accurately approximate and compensate for the nonlinearity of…

Signal Processing · Electrical Eng. & Systems 2018-01-19 Miao Yao , Munawwar Sohul , Randall Nealy , Vuk Marojevic , Jeffrey Reed