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Two key traits of 5G cellular networks are much higher base station (BS) densities - especially in the case of low-power BSs - and the use of massive MIMO at these BSs. This paper explores how massive MIMO can be used to jointly maximize…

Information Theory · Computer Science 2016-02-09 Qiaoyang Ye , Ozgun Y. Bursalioglu , Haralabos C. Papadopoulos , Constantine Caramanis , Jeffrey G. Andrews

Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. In order to enhance the beamforming gains, codebook-based beam training is widely…

Information Theory · Computer Science 2022-09-29 Wang Liu , Hong Ren , Cunhua Pan , Jiangzhou Wang

The use of large-scale antenna systems in future commercial wireless communications is an emerging technology that uses an excess of transmit antennas to realize high spectral efficiency. Achieving potential gains with large-scale antenna…

Information Theory · Computer Science 2015-07-21 Song Noh , Michael D. Zoltowski , David J. Love

In this paper, we investigate and reveal the ergodic sum-rate gain (ESG) of non-orthogonal multiple access (NOMA) over orthogonal multiple access (OMA) in uplink cellular communication systems. A base station equipped with a single-antenna,…

Information Theory · Computer Science 2019-03-06 Zhiqiang Wei , Lei Yang , Derrick Wing Kwan Ng , Jinhong Yuan , Lajos Hanzo

Massive multiple-input--multiple-output (MIMO) systems can suffer from coherent intercell interference due to the phenomenon of pilot contamination. This paper investigates a two-layer decoding method that mitigates both coherent and…

Information Theory · Computer Science 2019-01-17 Trinh Van Chien , Christopher Mollén , Emil Björnson

We consider the uplink of a cellular massive MIMO network. Acquiring channel state information at the base stations (BSs) requires uplink pilot signaling. Since the number of orthogonal pilot sequences is limited by the channel coherence,…

Information Theory · Computer Science 2016-05-12 Rami Mochaourab , Emil Björnson , Mats Bengtsson

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

This paper presents a method for the fast and accurate estimation of the gain pattern and maximum gain of an implanted antenna including the effect of the host body, under the assumption that the latter is electrically large. The estimation…

In this work, we propose to utilize Gaussian mixture models (GMMs) to design pilots for downlink (DL) channel estimation in frequency division duplex (FDD) systems. The GMM captures prior information during training that is leveraged to…

Signal Processing · Electrical Eng. & Systems 2024-03-27 Nurettin Turan , Benedikt Fesl , Benedikt Böck , Michael Joham , Wolfgang Utschick

Massive Multiple-Input Multiple-Output (massive MIMO) is a variant of multi-user MIMO in which the number of antennas at each Base Station (BS) is very large and typically much larger than the number of users simultaneously served. Massive…

Information Theory · Computer Science 2017-08-16 Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Giuseppe Caire

This paper addresses the problem of channel estimation in multi-cell interference-limited cellular networks. We consider systems employing multiple antennas and are interested in both the finite and large-scale antenna number regimes…

Information Theory · Computer Science 2016-11-15 Haifan Yin , David Gesbert , Miltiades Filippou , Yingzhuang Liu

Extremely large antenna array (ELAA) not only effectively enhances system communication performance but also improves the sensing capabilities of communication systems, making it one of the key enabling technologies in 6G wireless networks.…

Signal Processing · Electrical Eng. & Systems 2025-06-03 Boyu Teng , Xiaojun Yuan , Rui Wang , Ying-Chang Liang

This paper addresses the problem of uplink and downlink channel estimation in FDD Massive MIMO systems. By utilizing sparse recovery and compressive sensing algorithms, we are able to improve the accuracy of the uplink/downlink channel…

Information Theory · Computer Science 2018-06-01 Yacong Ding , Bhaskar D. Rao

Recently, large language models (LLMs) have gained significant attention for their ability to generate fast and accurate answer to the given query. These models have evolved into large multimodal models (LMMs), which can interpret and…

Information Theory · Computer Science 2026-01-13 Sunwoo Kim , Byonghyo Shim

We consider a multi-cell, frequency-selective fading, uplink channel (network MIMO) where K user terminals (UTs) communicate simultaneously with B cooperative base stations (BSs). Although the potential benefit of multi-cell cooperation…

Information Theory · Computer Science 2011-04-13 Jakob Hoydis , Mari Kobayashi , Merouane Debbah

We propose a strategy for orthogonal downlink pilot assignment in cell-free massive MIMO (multiple-input multiple-output) that exploits knowledge of the channel state information, the channel hardening degree at each user, and the mobility…

Information Theory · Computer Science 2019-09-04 Giovanni Interdonato , Pål Frenger , Erik G. Larsson

This paper addresses the problem of downlink channel estimation in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. The existing methods usually exploit hidden sparsity under a discrete Fourier…

Signal Processing · Electrical Eng. & Systems 2018-02-27 Jisheng Dai , An Liu , Vincent K. N. Lau

In-band full-duplex (FD) communications have been optimistically promoted to improve the spectrum utilization and efficiency. However, the penetration of FD communications to the cellular networks domain is challenging due to the imposed…

Information Theory · Computer Science 2016-07-12 Ahmad AlAmmouri , Hesham ElSawy , Osama Amin , Mohamed-Slim Alouini

We consider the uplink of a multicell multiuser multiple-input multiple-output system where the channel experiences both small and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base…

Information Theory · Computer Science 2012-07-02 Hien Quoc Ngo , Michail Matthaiou , Trung Q. Duong , Erik G. Larsson

Wireless cellular communication networks are bandwidth and interference limited. An important means to overcome these resource limitations is the use of multiple antennas. Base stations equipped with a very large (massive) number of…

Signal Processing · Electrical Eng. & Systems 2019-03-05 Uri Erez , Amir Leshem