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In this paper, we consider a geostationary orbit (GEO) satellite communication system that employs massive multiple-input multiple-output (MIMO) for multicast transmission. By modeling the spatial distribution of ground users using a…

Signal Processing · Electrical Eng. & Systems 2025-09-23 Seyong Kim , Jeonghun Park

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

This paper studies the receive antenna selection in massive multiple-input multiple-output (MIMO) system. The receiver, equipped with a large-scale antenna array whose size is much larger than that of the transmitter, selects a subset of…

Signal Processing · Electrical Eng. & Systems 2018-10-30 Chongjun Ouyang , Zeliang Ou , Lu Zhang , Hongwen Yang

In this paper, we introduce a mathematical approach for system-level analysis and optimization of densely deployed multiple-antenna cellular networks, where low-energy devices are capable of decoding information data and harvesting power…

Information Theory · Computer Science 2016-08-30 Lam Thanh Tu , Marco Di Renzo , Justin P. Coon

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 what ways could cellular massive MIMO be improved? This technology has already been shown to bring huge performance gains. However, coverage holes and difficulties to transmit multiple streams to multi-antenna users because of…

Signal Processing · Electrical Eng. & Systems 2025-01-08 Sara Willhammar , Hiroki Iimori , Joao Vieira , Lars Sundström , Fredrik Tufvesson , Erik G. Larsson

Distributed massive multiple-input multiple-output (MIMO) combines the array gain of coherent MIMO processing with the proximity gains of distributed antenna setups. In this paper, we analyze how transceiver hardware impairments affect the…

Information Theory · Computer Science 2015-06-04 Emil Björnson , Michail Matthaiou , Antonios Pitarokoilis , Erik G. Larsson

Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base…

Information Theory · Computer Science 2016-11-17 Xiang Gao , Ove Edfors , Fredrik Rusek , Fredrik Tufvesson

The uplink of a wireless network with base stations distributed according to a Poisson Point Process (PPP) is analyzed. The base stations are assumed to have a large number of antennas and use linear minimum-mean-square-error (MMSE) spatial…

Information Theory · Computer Science 2013-11-20 Siddhartan Govindasamy

A Cell-Free Massive MIMO (multiple-input multiple-output) system comprises a very large number of distributed access points (APs)which simultaneously serve a much smaller number of users over the same time/frequency resources based on…

Information Theory · Computer Science 2017-01-18 Hien Quoc Ngo , Alexei Ashikhmin , Hong Yang , Erik G. Larsson , Thomas L. Marzetta

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the receiver (base station) has a large number of antennas. Specifically, we analyze achievable…

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

This paper considers three aspects of Massive MIMO (multiple-input multiple-output) communication networks that have received little attention in previous works, but are important to understand when designing and implementing this promising…

Information Theory · Computer Science 2015-09-23 Emil Björnson , Erik G. Larsson

Cell-free (CF) massive multiple-input-multiple-output (MIMO) has emerged as an alternative deployment for conventional cellular massive MIMO networks. Prior works relied on the strong assumption (quite idealized) that the APs are uniformly…

Information Theory · Computer Science 2020-10-27 Anastasios Papazafeiropoulos , Pandelis Kourtessis , Marco Di Renzo , Symeon Chatzinotas , John M. Senior

Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO system where all the access points (APs) cooperate to coherently serve all the user equipments (UEs), suppress inter-cell interference and mitigate…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson

Massive MIMO (multiple-input multiple-output) provides great improvements in spectral efficiency over legacy cellular networks, by coherent combining of the signals over a large antenna array and by spatial multiplexing of many users. Since…

Information Theory · Computer Science 2017-03-07 Emil Björnson , Jakob Hoydis , Luca Sanguinetti

Massive MIMO is a new technique for wireless communications that claims to offer very high system throughput and energy efficiency in multi-user scenarios. The cost is to add a very large number of antennas at the base station. Theoretical…

Information Theory · Computer Science 2015-07-23 Àlex Oliveras Martínez , Elisabeth De Carvalho , Jesper Ødum Nielsen

A massive MIMO system, represented by a base station with hundreds of antennas, is capable of spatially multiplexing many devices and thus naturally suited to serve dense crowds of wireless devices in emerging applications, such as…

Information Theory · Computer Science 2017-09-06 Elisabeth de Carvalho , Emil Björnson , Jesper H. Sørensen , Erik G. Larsson , Petar Popovski

Massive multi-input multi-output (MIMO) uses a very large number of low-power transmit antennas to serve much smaller numbers of users. The most widely proposed type of massive MIMO transmit beamforming is zero-forcing, which is based on…

Information Theory · Computer Science 2017-12-12 Long D. Nguyen , Hoang D. Tuan , Trung Q. Duong , H. Vincent Poor

This paper presents a new approach to intra-cell pilot contamination in crowded massive MIMO scenarios. The approach relies on two essential properties of a massive MIMO system, namely near-orthogonality between user channels and…

Information Theory · Computer Science 2015-05-22 Jesper H. Sørensen , Elisabeth de Carvalho , Petar Popovski
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