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We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is of paramount importance. However, finding efficient pilot…

Information Theory · Computer Science 2015-07-15 Rami Mochaourab , Emil Björnson , Mats Bengtsson

Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is a promising approach to increasing system capacity and link robustness for the fifth generation (5G) wireless cellular systems. The premise of these…

Networking and Internet Architecture · Computer Science 2019-07-30 Chaojin Qing , Bin Cai , Qingyao Yang , Jiafan Wang , Chuan Huang

Cell-free Massive MIMO is considered as a promising technology for satisfying the increasing number of users and high rate expectations in beyond-5G networks. The key idea is to let many distributed access points (APs) communicate with all…

Information Theory · Computer Science 2019-09-19 Emil Björnson , Luca Sanguinetti

When operating massive multiple-input multiple-output (MIMO) systems with uplink (UL) and downlink (DL) channels at different frequencies (frequency division duplex (FDD) operation), acquisition of channel state information (CSI) for…

Information Theory · Computer Science 2022-09-23 Florian Euchner , Niklas Süppel , Marc Gauger , Sebastian Dörner , Stephan ten Brink

The model-driven power allocation (PA) algorithms in the wireless cellular networks with interfering multiple-access channel (IMAC) have been investigated for decades. Nowadays, the data-driven model-free machine learning-based approaches…

Information Theory · Computer Science 2018-12-10 Fan Meng , Peng Chen , Lenan Wu

This paper investigates the optimization of the long-standing probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input single-output (MISO) downlink transmission. This problem poses…

Information Theory · Computer Science 2024-06-06 Kai Liang , Gan Zheng , Zan Li , Kai-Kit Wong , Chan-Byoung Chae

Power consumption is one of the major issues in massive MIMO (multiple input multiple output) systems, causing increased long-term operational cost and overheating issues. In this paper, we consider per-antenna power allocation with a given…

Information Theory · Computer Science 2021-01-29 Navneet Garg , Mathini Sellathurai , Tharmalingam Ratnarajah

This paper deals with the calibration of Time Division Duplexing (TDD) reciprocity in an Orthogonal Frequency Division Multiplexing (OFDM) based Cell Free Massive MIMO system where the responses of the (Radio Frequency) RF chains render the…

Information Theory · Computer Science 2020-04-07 Navaneet Athreya , Vishnu Raj , Sheetal Kalyani

Massive multiple-input multiple-output (MIMO) is recognized as a promising technology for the next generation of wireless networks because of its potential to increase the spectral efficiency. In initial studies of massive MIMO, the system…

Information Theory · Computer Science 2018-06-11 Elahe Sadeghabadi , Seyed Mohammad Azimi-Abarghouyi , Behrooz Makki , Masoumeh Nasiri-Kenari

We reconsider the problem of joint power control and beamforming design to maximize the weighted sum rate in large and potentially cell-free massive MIMO networks. In contrast to the available short-term methods, where an iterative…

Information Theory · Computer Science 2024-07-09 Lorenzo Miretti , Emil Björnson , Sławomir Stańczak

This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has its own power constraint. We focus on the…

Information Theory · Computer Science 2020-03-02 Juping Zhang , Wenchao Xia , Minglei You , Gan Zheng , Sangarapillai Lambotharan , Kai-Kit Wong

Federated learning (FL) over resource-constrained wireless networks has recently attracted much attention. However, most existing studies consider one FL task in single-cell wireless networks and ignore the impact of downlink/uplink…

Signal Processing · Electrical Eng. & Systems 2022-07-19 Zhibin Wang , Yong Zhou , Yuanming Shi , Weihua Zhuang

Wireless networks supporting artificial intelligence have gained significant attention, with Over-the-Air Federated Learning emerging as a key application due to its unique transmission and distributed computing characteristics. This paper…

Machine Learning · Computer Science 2024-10-24 Yifan Wang , Cheng Zhang , Yuanndon Zhuang , Mingzeng Dai , Haiming Wang , Yongming Huang

Next generation wireless networks aim at providing substantial improvements in spectral efficiency (SE) and energy efficiency (EE). Massive MIMO has been proved to be a viable technology to achieve these goals by spatially multiplexing…

Signal Processing · Electrical Eng. & Systems 2017-09-25 Daniel Verenzuela , Emil Björnson , Luca Sanguinetti

The present paper deals with an OFDM-based uplink within a multi-user MIMO (MU-MIMO) system where a massive MIMO approach is employed. In this context, the linear detectors Minimum Mean-Squared Error (MMSE), Zero Forcing (ZF) and Maximum…

In this paper, we investigate the impact of channel aging on the performance of cell-free (CF) massive multiple-input multiple-output (MIMO) systems with both spatial correlation and pilot contamination. We derive novel closed-form uplink…

Information Theory · Computer Science 2021-04-26 Jiakang Zheng , Jiayi Zhang , Emil Björnson , Bo Ai

Massive MIMO systems, where the base stations are equipped with hundreds of antenna elements, are an attractive way to attain unprecedented spectral efficiency in future wireless networks. In the "classical" massive MIMO setting, the…

Information Theory · Computer Science 2016-06-08 Elisabeth de Carvalho , Emil Bjornson , Erik G. Larsson , Petar Popovski

In this paper power allocation in a cellular network, which transmitter uses massive multiple inputs multiple outputs (MIMO) system was studied. As circuit power consumption is increased by the number of antenna in transmitter and users,…

Signal Processing · Electrical Eng. & Systems 2019-01-03 Saeed Sadeghi Vilni

Cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as a promising technology for enabling future wireless communication systems. Significant attention has been generated by its considerable advantages…

Information Theory · Computer Science 2023-10-02 Ziheng Liu , Jiayi Zhang , Zhilong Liu , Huahua Xiao , Bo Ai

This work aims to design a cellular network for maximal energy efficiency (EE). In particular, we consider the uplink with multi-antenna base stations and assume that zero- forcing (ZF) combining is used for data detection with imperfect…

Information Theory · Computer Science 2017-09-19 Andrea Pizzo , Daniel Verenzuela , Luca Sanguinetti , Emil Björnson