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Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive…

Signal Processing · Electrical Eng. & Systems 2020-01-29 Jesus Rodriguez Sanchez , Fredrik Rusek , Ove Edfors , Muris Sarajlic , Liang Liu

Achieving high spectral efficiency in realistic massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and…

Information Theory · Computer Science 2017-11-17 Kaipeng Li , Rishi Sharan , Yujun Chen , Tom Goldstein , Joseph R. Cavallaro , Christoph Studer

Massive MIMO systems, where the base stations are equipped with hundreds of antennas, are an attractive way to handle the rapid growth of data traffic. As the number of users increases, the initial access and handover in contemporary…

Information Theory · Computer Science 2016-05-04 Luca Sanguinetti , Antonio A. D'Amico , Michele Morelli , Merouane Debbah

This paper seeks to determine the most efficient uplink technique for cell-free massive MIMO systems. Despite offering great advances, existing works suffer from fragmented methodologies and inconsistent assumptions (e.g., single- vs.…

Information Theory · Computer Science 2025-08-29 Wei Jiang , Hans D. Schotten

In this paper, we propose an algorithm based on the Alternating Minimization technique to solve the uplink massive MIMO detection problem. The proposed algorithm provides a lower complexity compared to the conventional MMSE detection…

Information Theory · Computer Science 2019-02-26 Anis Elgabli , Ali Elghariani , Vaneet Aggarwal , Mark Bell

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

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…

Massive MIMO systems can greatly increase spectral and energy efficiency over traditional MIMO systems by exploiting large antenna arrays. However, increasing the number of antennas at the base station (BS) makes the uplink non-coherent…

Information Theory · Computer Science 2015-07-19 Haider Ali Jasim Alshamary , Md Fahim Anjum , Tareq Al-Naffouri , Alam Zaib , Weiyu Xu

Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple users simultaneously without causing severe interference.…

Information Theory · Computer Science 2019-02-19 Yu Han , Qi Liu , Chao-Kai Wen , Shi Jin , Kai-Kit Wong

In this letter, we consider the uplink of a cell-free Massive multiple-input multiple-output (MIMO) network where each user is decoded by a subset of access points (APs). An additional step is introduced in the cell-free Massive MIMO…

Information Theory · Computer Science 2021-04-07 Carmen D'Andrea , Erik G. Larsson

In this paper, we investigate the uplink signal detection approaches in the cell-free massive MIMO systems with unmanned aerial vehicles (UAVs) serving as aerial access points (APs). The ground users are equipped with multiple antennas and…

Information Theory · Computer Science 2023-07-13 Xuesong Pan , Zhong Zheng , Xueqing Huang , Zesong Fei

Cell-free Massive MIMO (mMIMO) is envisaged to be a next-generation technology beyond 5G with its high spectral efficiency and superior spatial diversity as compared to that of conventional MIMO technology. The main principle is that many…

Information Theory · Computer Science 2020-03-09 Zakir Hussain Shaik , Emil Björnson , Erik G. Larsson

In this paper, we propose low complexity algorithms based on Markov chain Monte Carlo (MCMC) technique for signal detection and channel estimation on the uplink in large scale multiuser multiple input multiple output (MIMO) systems with…

Information Theory · Computer Science 2012-01-31 Tanumay Datta , N. Ashok Kumar , A. Chockalingam , B. Sundar Rajan

Massive MIMO opens up attractive possibilities for next generation wireless systems with its large number of antennas offering spatial diversity and multiplexing gain. However, the fronthaul link that connects a massive MIMO Remote Radio…

Information Theory · Computer Science 2024-04-16 Aswathylakshmi P , Radha Krishna Ganti

Massive MIMO OFDM waveforms help support a large number of users in the same time-frequency resource and also provide significant array gain for uplink reception in cellular systems. However, channel estimation in such large antenna systems…

Information Theory · Computer Science 2024-06-04 P Aswathylakshmi , Radha Krishna Ganti

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

Massive multiple-input multiple-output (MIMO) is a key technology for emerging next-generation wireless systems. Utilizing large antenna arrays at base-stations, massive MIMO enables substantial spatial multiplexing gains by simultaneously…

Signal Processing · Electrical Eng. & Systems 2022-04-13 Ly V. Nguyen , Nhan T. Nguyen , Nghi H. Tran , Markku Juntti , A. Lee Swindlehurst , Duy H. N. Nguyen

Massive multiuser (MU) multiple-input multiple-output (MIMO) promises significant improvements in spectral efficiency compared to small-scale MIMO. Typical massive MU-MIMO base-station (BS) designs rely on centralized linear data detectors…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-26 Kaipeng Li , Oscar Castaneda , Charles Jeon , Joseph R. Cavallaro , Christoph Studer

In this thesis, we investigate the problem of efficient data detection in large MIMO and high order MU-MIMO systems. First, near-optimal low-complexity detection algorithms are proposed for regular MIMO systems. Then, a family of…

Information Theory · Computer Science 2021-10-26 Hadi Sarieddeen

Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low power consumption…

Information Theory · Computer Science 2020-02-19 Ali Bulut Üçüncü , Emil Björnson , Håkan Johansson , Erik G. Larsson , Ali Özgür Yılmaz
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