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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

In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) multiple-input multiple-output (MIMO) network adopting the channel estimation algorithm proposed in [1] for channel…

Signal Processing · Electrical Eng. & Systems 2018-01-30 Lou Zhao , Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Mark C. Reed

Pilot contamination, defined as the interference during the channel estimation process due to reusing the same pilot sequences in neighboring cells, can severely degrade the performance of massive multiple-input multiple-output systems. In…

Information Theory · Computer Science 2018-06-05 L. Srikar Muppirisetty , Themistoklis Charalambous , Johnny Karout , Gabor Fodor , Henk Wymeersch

We address the problem of noise and interference corrupted channel estimation in massive MIMO systems. Interference, which originates from pilot reuse (or contamination), can in principle be discriminated on the basis of the distributions…

Information Theory · Computer Science 2016-06-07 Haifan Yin , Laura Cottatellucci , David Gesbert , Ralf R. Müller , Gaoning He

Cognitive radios have been proposed as agile technologies to boost the spectrum utilization. This paper tackles the problem of channel estimation and its impact on downlink transmissions in an underlay cognitive radio scenario. We consider…

Information Theory · Computer Science 2015-05-11 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) communications in a multiple-input multiple-output (MIMO) network. Due to the reuse of pilot symbols among different cells,…

Information Theory · Computer Science 2018-06-08 Lou Zhao , Zhiqiang Wei , Derrick Wing Kwan Ng , Jinhong Yuan , Mark C. Reed

Pilot contamination problem in massive MIMO networks operating in time-division duplex (TDD) mode can limit their expected capacity to a great extent. This paper addresses this problem in cosine modulated multitone (CMT) based massive MIMO…

Information Theory · Computer Science 2014-06-20 Arman Farhang , Amir Aminjavaheri , Nicola Marchetti , Linda E. Doyle , Behrouz Farhang-Boroujeny

Pilot contamination is a limiting factor in multicell massive multiple-input multiple-output (MIMO) systems because it can severely impair channel estimation. Prior works have suggested coordinating pilot design across cells in order to…

Information Theory · Computer Science 2020-08-13 Kaiming Shen , Hei Victor Cheng , Xihan Chen , Yonina C. Eldar , Wei Yu

Massive multiple-input multiple-output is a very important technology for future fifth-generation systems. However, massive massive multiple input multiple output systems are still limited because of pilot contamination, impacting the data…

Information Theory · Computer Science 2021-06-28 Qazwan Abdullah , Norsaliza Abdullah , Adeb Salh , Lukman Audah , Nabil Farah , Abbas Ugurenver , Abdu Saif

This paper introduces a hybrid pilot-aided channel estimation technique for mitigating the effect of pilot contamination for the uplink of multi-cell multiuser massive MIMO systems. The proposed hybrid pilot is designed such that it enjoys…

Information Theory · Computer Science 2016-12-23 Jiaming Li , Chau Yuen , Dong Li , Han Zhang , Xianda Wu

Accurate multiple-input multiple-output (MIMO) channel estimation is critical for next-generation wireless systems, enabling enhanced communication and sensing performance. Traditional model-based channel estimation methods suffer, however,…

Signal Processing · Electrical Eng. & Systems 2026-02-02 Seyed Alireza Javid , Nuria González-Prelcic

This paper proposes novel joint channel estimation and beamforming approach for multicell wideband massive multiple input multiple output (MIMO) systems. Using our channel estimation and beamforming approach, we determine the number of…

Information Theory · Computer Science 2015-09-18 Tadilo Endeshaw Bogale , Long Bao Le , Xianbin Wang , Luc Vandendorpe

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

We propose a novel location-aware pilot assignment scheme to mitigate pilot contamination in massive multiple-input multiple-output (MIMO) networks, where the channels are subjected to Rician fading. Our proposed scheme utilizes the…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Shihao Yan , Nan Yang , Jinhong Yuan

Channel estimation is challenging in multi-antenna communication systems, because of the large number of parameters to estimate. One way of facilitating this task is to use a physical model describing the multiple paths constituting the…

Signal Processing · Electrical Eng. & Systems 2019-02-20 Luc Le Magoarou , Stéphane Paquelet

This work considers the uplink of a Massive MIMO network wherein the base stations (BSs) are randomly deployed according to a homogenous Poisson point process of intensity $\lambda$. Each BS is equipped with $M$ antennas and serves $K$ user…

Information Theory · Computer Science 2019-06-04 Fahime Sadat Mirhosseini , Andrea Pizzo , Luca Sanguinetti , Aliakbar Tadaion

Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. Based on perturbation analysis, we show that the spatial…

Signal Processing · Electrical Eng. & Systems 2022-09-20 Shudi Weng , Fan Jiang , Henk Wymeersch

Massive MIMO communication systems, by virtue of utilizing very large number of antennas, have a potential to yield higher spectral and energy efficiency in comparison with the conventional MIMO systems. In this paper, we consider uplink…

Information Theory · Computer Science 2015-07-30 Alam Zaib , Mudassir Masood , Anum Ali , Weiyu Xu , Tareq Y. Al-Naffouri

A subspace projection to improve channel estimation in massive multi-antenna systems is proposed and analyzed. Together with power-controlled hand-off, it can mitigate the pilot contamination problem without the need for coordination among…

Information Theory · Computer Science 2014-12-30 Ralf Müller , Laura Cottatellucci , Mikko Vehkaperä

This paper proposes a novel joint channel estimation and beamforming approach for multicell wideband massive multiple input multiple output (MIMO) systems. With the proposed channel estimation and beamforming approach, we determine the…

Information Theory · Computer Science 2017-08-15 Tadilo Endeshaw Bogale , Long Bao Le , Xianbin Wang , Luc Vandendorpe
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