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Future wireless networks are envisioned to employ multiple-input multiple-output (MIMO) transmissions with large array sizes, and therefore, the adoption of complexity-scalable transceiver becomes important. In this paper, we propose a…

Signal Processing · Electrical Eng. & Systems 2025-04-15 Jie Yang , Wanchen Hu , Yi Jiang , Shuangyang Li , Xin Wang , Derrick Wing Kwan Ng , Giuseppe Caire

Massive multiple-input multiple-output (mMIMO) technology has transformed wireless communication by enhancing spectral efficiency and network capacity. This paper proposes a novel deep learning-based mMIMO precoder to tackle the complexity…

Signal Processing · Electrical Eng. & Systems 2025-02-14 Ali Hasanzadeh Karkan , Ahmed Ibrahim , Jean-François Frigon , François Leduc-Primeau

Under limited feedback, channel state information (CSI) reconstruction for multiuser multiple-input multiple-output (MU-MIMO) precoding is challenging, since the precoder should provide not only beamforming gain, but also robust suppression…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Juseong Park , Taekyun Lee , Foad Sohrabi , Jeffrey G. Andrews

Rate-splitting multiple access (RSMA) has been studied for multiuser multiple-input multiple-output (MUMIMO) systems especially in the presence of imperfect channel state information (CSI) at the transmitter. However, its precoding designs…

Information Theory · Computer Science 2025-12-05 Wentao Zhou , Yijie Mao , Di Zhang , Mérouane Debbah , Inkyu Lee

In multi-user millimeter wave (mmWave) multiple-input-multiple-output (MIMO) systems, hybrid precoding is a crucial task to lower the complexity and cost while achieving a sufficient sum-rate. Previous works on hybrid precoding were usually…

Signal Processing · Electrical Eng. & Systems 2020-04-28 Ahmet M. Elbir , Anastasios Papazafeiropoulos

Joint user selection and precoding in multiuser MIMO settings can be interpreted as group sparse recovery in linear models. In this problem, a signal with group sparsity is to be reconstructed from an underdetermined system of equations.…

Information Theory · Computer Science 2019-10-25 Saba Asaad , Ali Bereyhi , Ralf R. Muller , Rafael F. Schaefer

We propose a hierarchical interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell…

Information Theory · Computer Science 2015-06-16 An Liu , Vincent Lau

Presence of multiple antennas on both sides of a communication channel promises significant improvements in system throughput and power efficiency. In effect, a new class of large multiple-input multiple-output (MIMO) communication systems…

Information Theory · Computer Science 2014-01-28 Maksym A. Girnyk , Mikko Vehkaperä , Lars K. Rasmussen

In this paper, we consider a generalized sub-array-connected (GSAC) architecture for arbitrary radio frequency (RF) chain and antenna configurations, where the number of RF chains connected to a sub-array and the number of antennas in each…

Information Theory · Computer Science 2019-07-26 Yun Chen , Da Chen , Tao Jiang , Lajos Hanzo

A dynamic and flexible generalized spatial modulation (GSM) framework is proposed for massive MIMO systems. Our framework is leveraged on the utilization of machine learning methods for GSM in order to improve the error performance in…

Signal Processing · Electrical Eng. & Systems 2019-03-12 Selen Gecgel , Caner Goztepe , Gunes Karabulut Kurt

Consider the following problem: A multi-antenna base station (BS) sends multiple symbol streams to multiple single-antenna users via precoding. However, unlike conventional multiuser precoding, the transmitted signals are subjected to…

Information Theory · Computer Science 2019-10-23 Mingjie Shao , Qiang Li , Wing-Kin Ma , Anthony Man-Cho So

We consider downlink precoding in a frequency-selective multi-user Massive MIMO system with highly efficient but non-linear power amplifiers at the base station (BS). A low-complexity precoding algorithm is proposed, which generates…

Information Theory · Computer Science 2013-05-08 Saif Khan Mohammed , Erik G. Larsson

This letter presents a low-complexity hybrid precoding framework for multiuser multiple-input multiple-output (MIMO) systems by leveraging a low-dimensional subspace property. Under the low-dimensional subspace perspective, we first…

Signal Processing · Electrical Eng. & Systems 2025-12-09 Mintaek Oh , Jinseok Choi

The hybrid analog/digital architecture that connects a limited number of RF chains to multiple antennas through phase shifters could effectively address the energy consumption issues in massive multiple-input multiple-output (MIMO) systems.…

Information Theory · Computer Science 2025-01-07 Yifan Guo

This paper investigates the joint design of hybrid transmit precoder and analog receive combiners for single-group multicasting in millimeter-wave systems. We propose LB-GDM, a low-complexity learning-based approach that leverages gradient…

Signal Processing · Electrical Eng. & Systems 2020-03-02 Luis F. Abanto-Leon , Gek Hong , Sim

In this paper, we propose an enhanced leakage-based precoding scheme, i.e., layer signal to leakage plus noise ratio (layer SLNR) scheme, for multi-user multi-layer MIMO systems. Specifically, the layer SLNR scheme incorporates the MIMO…

Information Theory · Computer Science 2014-07-16 Chunliang Yang

This paper studies multi-satellite multi-stream (MSMS) beamspace transmission, where multiple satellites cooperate to form a distributed multiple-input multiple-output (MIMO) system and jointly deliver multiple data streams to multi-antenna…

Signal Processing · Electrical Eng. & Systems 2025-12-29 Yafei Wang , Yiming Zhu , Vu Nguyen Ha , Wenjin Wang , Rui Ding , Symeon Chatzinotas , Björn Ottersten

This paper addresses precoder design for secure multiple-input multiple-output (MIMO) integrated sensing and communications (ISAC) systems. We introduce a MIMO channel with a multiple-antenna eavesdropper and a multiple-antenna sensing…

Signal Processing · Electrical Eng. & Systems 2026-03-09 Seongkyu Jung , Namyoon Lee , Jeonghun Park

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

In this paper, we propose to exploit the richly scattered multi-path nature of a frequency selective channel to provide additional degrees of freedom for desigining effective precoding schemes for multi-user communications. We design the…

Information Theory · Computer Science 2008-12-24 Wee Seng Chua , Chau Yuen , Yong Liang Guan , Francois Chin
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