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Multiple-input multiple-output (MIMO) is a key ingredient of next-generation wireless communications. Recently, various MIMO signal detectors based on deep learning techniques and quantum(-inspired) algorithms have been proposed to improve…

Information Theory · Computer Science 2023-07-25 Satoshi Takabe

In the next generation of wireless systems, Massive MIMO offers high angular resolution for localization. By virtue of large number of antennas, the Angle of Arrival (AoA) of User Terminals (UTs) can be estimated with high accuracy.…

Information Theory · Computer Science 2021-03-11 Masoud Arash , Hamed Mirghasemi , Ivan Stupia , Luc Vandendorpe

Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "promising" concept for future cellular networks - in 2018 it became a reality. Base stations (BSs) with 64 fully digital transceiver chains were commercially deployed…

Signal Processing · Electrical Eng. & Systems 2019-06-13 Emil Björnson , Luca Sanguinetti , Henk Wymeersch , Jakob Hoydis , Thomas L. Marzetta

Massive MIMO can greatly increase both spectral and transmit-energy efficiency. This is achieved by allowing the number of antennas and RF chains to grow very large. However, the challenges include high system complexity and hardware energy…

Information Theory · Computer Science 2016-11-17 Xiang Gao , Ove Edfors , Fredrik Tufvesson , Erik G. Larsson

The high hardware complexity of a massive MIMO base station, which requires hundreds of radio chains, makes it challenging to build commercially. One way to reduce the hardware complexity and power consumption of the receiver is to lower…

Information Theory · Computer Science 2017-09-15 Christopher Mollén , Junil Choi , Erik G. Larsson , Robert W. Heath

An interference-limited noise-free CDMA downlink channel operating under a complexity constraint on the receiver is introduced. According to this paradigm, detected bits, obtained by performing hard decisions directly on the channel's…

Information Theory · Computer Science 2016-11-18 Ori Shental , Ido Kanter , Anthony J. Weiss

Massive MIMO has rapidly gained popularity as a technology crucial to the capacity advances required for 5G wireless systems. Since its theoretical conception six years ago, research activity has grown exponentially, and there is now a…

Low-complexity carrier frequency offset (CFO) estimation and compensation in multi-user massive multiple-input multiple-output (MIMO) systems is a challenging problem. The existing CFO estimation algorithms incur tremendous increase in…

Information Theory · Computer Science 2015-05-05 Sudarshan Mukherjee , Saif Khan Mohammed

To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies…

Information Theory · Computer Science 2016-05-12 Dongming Wang , Yu Zhang , Hao Wei , Xiaohu You , Xiqi Gao , Jiangzhou Wang

We present a novel approach for low-complexity equalizer design well-suited for cellular massive MIMO systems. Our design allows to exploit the channel structure in terms of covariance matrices to improve the performance in the face of…

Information Theory · Computer Science 2018-08-01 David Neumann , Thomas Wiese , Michael Joham , Wolfgang Utschick

We consider a massive MIMO system where the array at the access point reaches a dimension that is much larger than the array in current systems. Transitioning to an extremely large dimension and hence large number of antennas implies a need…

Signal Processing · Electrical Eng. & Systems 2019-12-10 Abolfazl Amiri , Carles Navarro Manch'on , Elisabeth de Carvalho

In this paper, we deal with the design of high-rate, full-diversity, low maximum likelihood (ML) decoding complexity space-time block codes (STBCs) with code rates of 2 and 1.5 complex symbols per channel use for multiple-input multiple…

Information Theory · Computer Science 2009-07-07 Ertugrul Basar , Umit Aygolu

We study the massive multiple-input multiple-output (MIMO) multicast transmission in cellular networks where each base station (BS) is equipped with a large-scale antenna array and transmits a common message using a single beamformer to…

Information Theory · Computer Science 2016-11-15 Zhengzheng Xiang , Meixia Tao , Xiaodong Wang

In this paper, we investigate the spectral efficiency (SE) of massive multiple-input multiple-output (MIMO) systems with a large number of antennas at the base station (BS) accounting for physical space constraints. In contrast to the vast…

Information Theory · Computer Science 2016-11-17 Jiayi Zhang , Linglong Dai , Michail Matthaiou , Christos Masouros , Shi Jin

Cell-free massive MIMO (multiple-input multiple-output) is expected to be one of the key technologies in sixth-generation (6G) and beyond wireless communications, offering enhanced spectral efficiency for cell-edge user equipments by…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Salih Gümüsbuğa , Ozan Alp Topal , Özlem Tuğfe Demir

Index modulation (IM) brings the reduction of power consumption and complexity of the transmitter to classical multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. However, due to the introduction…

Signal Processing · Electrical Eng. & Systems 2019-11-14 Jinxue Liu , Hancheng Lu

An eight element, compact Ultra Wideband-Multiple Input Multiple Output (UWB-MIMO) antenna capable of providing high data rates for future Fifth Generation (5G) terminal equipments along with the provision of necessary bandwidth for Third…

Signal Processing · Electrical Eng. & Systems 2020-07-14 M. Saeed Khan , Adnan Iftikhar , Raed M. Shubair , Antonio-D. Capobianco , Benjamin D. Braaten , Dimitris E. Anagnostou

In this paper we consider the problem of full-duplex multiple-input multiple-output (MIMO) relaying between multi-antenna source and destination nodes. The principal difficulty in implementing such a system is that, due to the limited…

Information Theory · Computer Science 2015-06-03 Brian P. Day , Adam R. Margetts , Daniel W. Bliss , Philip Schniter

This paper considers uplink massive MIMO systems with 1-bit analog-to-digital converters (ADCs) and develops a deep-learning based channel estimation framework. In this framework, the prior channel estimation observations and deep neural…

Information Theory · Computer Science 2020-05-11 Yu Zhang , Muhammad Alrabeiah , Ahmed Alkhateeb

To support the high data rates for latency-critical applications, future wireless systems will employ fully digital beamforming multiple-input multiple-output (MIMO) architectures at millimeter wave (mmWave) frequencies. Moreover, mmWave…

Signal Processing · Electrical Eng. & Systems 2026-04-06 Faruk Pasic , Mariam Mussbah , Stefan Schwarz , Markus Rupp , Christoph F. Mecklenbräuker
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