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Rate-Splitting Multiple Access (RSMA) for multi-user downlink operates by splitting the message for each user equipment (UE) into a private message and a set of common messages, which are simultaneously transmitted by means of superposition…

Signal Processing · Electrical Eng. & Systems 2022-03-09 Daesung Yu , Seok-Hwan Park , Osvaldo Simeone , Shlomo Shamai

Cell-free massive multiple-input multiple-output (MIMO) systems, leveraging tight cooperation among wireless access points, exhibit remarkable signal enhancement and interference suppression capabilities, demonstrating significant…

Signal Processing · Electrical Eng. & Systems 2024-10-10 Peng Jiang , Jiafei Fu , Pengcheng Zhu , Yan Wang , Jiangzhou Wang , Xiaohu You

This work focuses on distributed linear precoding when users transmit correlated information over a fading Multiple-Input and Multiple-Output Multiple Access Channel. Precoders are optimized in order to minimize the sum-Mean Square Error…

Information Theory · Computer Science 2024-01-31 P. Suárez-Casal , J. P. González-Coma , O. Fresnedo , L. Castedo

Rate-Splitting Multiple Access (RSMA) has recently appeared as a powerful and robust multiple access and interference management strategy for downlink Multi-user (MU) multi-antenna communications. In this work, we study the precoder design…

Information Theory · Computer Science 2021-05-18 Anup Mishra , Yijie Mao , Onur Dizdar , Bruno Clerckx

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

This paper investigates a robust joint power allocation and beamforming scheme for in-band full-duplex multi-cell multi-user (IBFD-MCMU) networks. A mean-squared error (MSE) minimization problem is formulated with constraints on the power…

Information Theory · Computer Science 2024-03-19 Haifeng Luo , Navneet Garg , Mark Holm , Tharmalingam Ratnarajah

In this work, we develop an efficient precoding strategy for a multi-user multiple-input-single output (MU MISO) system operating in frequency-division-duplex (FDD) mode, where rate splitting multiple access (RSMA) is implemented. To this…

Signal Processing · Electrical Eng. & Systems 2024-03-22 Donia Ben Amor , Michael Joham , Wolfgang Utschick

In this paper, a downlink cell-free massive multiple-input multiple-output (CF massive MIMO) system and a network clustering is considered. Closed form sum-rate expressions are derived for CF and the clustered CF (CLCF) networks where…

Information Theory · Computer Science 2023-11-28 S. Mashdour , R. C. de Lamare

We investigate the optimal power allocation and optimal precoding for a multi-cell-processing (MCP) framework with limited cooperation. In particular, we consider two base stations(BSs) which maximize the achievable rate for two users…

Information Theory · Computer Science 2016-01-12 Samah A. M. Ghanem

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

In this paper, we propose iterative interference cancellation schemes with access points selection (APs-Sel) for cell-free massive multiple-input multiple-output (CF-mMIMO) systems. Closed-form expressions for centralized and decentralized…

Information Theory · Computer Science 2024-06-25 T. Ssettumba , Z. Shao , L. Landau , R. de Lamare

We present a general framework for the characterization of the packet error probability achievable in cell-free Massive multiple-input multiple output (MIMO) architectures deployed to support ultra-reliable low-latency (URLLC) traffic. The…

Information Theory · Computer Science 2023-04-17 Alejandro Lancho , Giuseppe Durisi , Luca Sanguinetti

Cell-Free Massive MIMO comprises a large number of distributed single-antenna access points (APs) serving a much smaller number of users. There is no partitioning into cells and each user is served by all APs. In this paper, the uplink…

Information Theory · Computer Science 2017-02-13 Elina Nayebi , Alexei Ashikhmin , Thomas L. Marzetta , Bhaskar D. Rao

This paper considers minimum sum mean-squared error (sum-MSE) linear transceiver designs in multiuser downlink systems with imperfect channel state information. Specifically, we derive the optimal energy allocations for training and data…

Information Theory · Computer Science 2010-01-19 Adam J. Tenenbaum , Raviraj S. Adve

This article is on the energy efficient precoder design in multi-user multiple-input-multiple-output (MU-MIMO) systems which is also robust with respect to the imperfect channel state information (CSI) at the transmitters. In other words,…

Information Theory · Computer Science 2018-11-16 Hossein Vaezy , Mohammad Javad Omidi , Halim Yanikomeroglu

Considering a heterogeneous network (HetNet) system consisting of a macro tier overlaid with a second tier of small cells (SCs), this paper studies the mean square error (MSE) based precoding design to be employed by the macro base station…

Information Theory · Computer Science 2016-08-15 Yongyu Dai , Xiaodai Dong , Wu-Sheng Lu

The issue of diminished spectral efficiency (SE) of the downlink (DL) transmission in distributed cell-free massive MIMO (CF-mMIMO) systems poses a significant challenge in terms of user equipment (UE) performance when compared to their…

Signal Processing · Electrical Eng. & Systems 2023-10-31 Reza Roshanghias , Reza Saadat

This study focuses on the optimization of a single-cell multi-user multiple-input multiple-output (MIMO) system with multiple large-size reconfigurable intelligent surfaces (RISs). The overall transmit power is minimized by optimizing the…

Information Theory · Computer Science 2024-10-08 Silvia Palmucci , Giulio Bartoli , Andrea Abrardo , Marco Moretti , Marco Di Renzo

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

Cell-free massive multiple-input multiple-output (CF mMIMO) systems serve the user equipments (UEs) by geographically distributed access points (APs) by means of joint transmission and reception. To limit the power consumption due to…

Signal Processing · Electrical Eng. & Systems 2023-04-25 Shuaifei Chen , Jiayi Zhang , Emil Björnson , Özlem Tuğfe Demir , Bo Ai