Uplink Interference Suppression by Semi-Blind Adaptive Array With Decision Feedback Channel Estimation on Multicell Massive MIMO Systems

Maruta, Kazuki; Ahn, Chang-Jun

doi:10.1109/tcomm.2018.2863679

Cited by 25 publications

(8 citation statements)

References 27 publications

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“…Its realistic impact is an interesting issue to be studied as an extension of our proposed concept. As a concrete application example, the proposed scheme could be effective for uplink interference cancellation in a multicell environment [49], [50] where inter-cell CSI is unavailable. The spreading matrix can be regarded as unique words that can contribute to separate signal sources.…”

Section: E Discussionmentioning

confidence: 99%

Interference Gaussianization: Time-Domain Inter-Symbol Spreading for Blind Adaptive Array Signal Source Identification

et al. 2021

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This paper proposes a novel blind adaptive array (BAA) interference suppression scheme incorporated with a time-domain symbol spreading (TISS). It can expand an operational region of BAA irrespective of input signal-to-interference power ratio (SIR) conditions. Independent component analysis (ICA) and constant modulus algorithm (CMA) are expected as the promising BAA approaches to suppress unknown interference which is extensively caused due to the small cell densification and spectrum superposing between a plurality of wireless communication systems. These BAA algorithms basically require an input SIR to be larger than 0 dB to suppress interference by capturing the desired signal appropriately. The proposed scheme applies TISS to the transmission signal for the desired user and then despreads it at the receiver side. It results in Gaussianize statistical inherence of the interference signals and can bring beneficial effects; reducing the kurtosis for ICA as well as collapsing the constant envelope properties for CMA. Such intentional modification to the interference signals can improve the capture performance of the desired signal and realize its effective identification even at SIR < 0 dB. Its fundamental effectiveness is presented through various perspectives such as input SIR, symbol amount, and modulation orders.

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Section: E Discussionmentioning

confidence: 99%

Interference Gaussianization: Time-Domain Inter-Symbol Spreading for Blind Adaptive Array Signal Source Identification

et al. 2021

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“…In multicell systems, the cooperation of BSs that regard BSs as dis-tributed antennas is common and effective method to achieve interference elimination, but requires a large amount of CSI between BSs and users among cooperating cells. Interference suppression approach that doesn't require cell cooperation is convenient and the novel semi-blind uplink interference suppression method for multi-cell multi-user massive MIMO systems in [221] is confirmed to be the most effective solution evolving spectral use for future wireless networks.…”

Section: Elevation Domainmentioning

confidence: 99%

Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

Xiao¹,

Han²,

Nallanathan³

et al. 2021

Preprint

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Antenna arrays have a long history of more than 100 years and have evolved closely with the development of electronic and information technologies, playing an indispensable role in wireless communications and radar. With the rapid development of electronic and information technologies, the demand for all-time, all-domain, and full-space network services has exploded, and new communication requirements have been put forward on various space/air/ground platforms. To meet the ever increasing requirements of the future sixth generation (6G) wireless communications, such as high capacity, wide coverage, low latency, and strong robustness, it is promising to employ different types of antenna arrays (e.g., phased arrays, digital arrays, and reconfigurable intelligent surfaces, etc.) with various beamforming technologies (e.g., analog beamforming, digital beamforming, hybrid beamforming, and passive beamforming, etc.) in space/air/ground communication networks, bringing in advantages such as considerable antenna gains, multiplexing gains, and diversity gains. However, enabling antenna array for space/air/ground communication networks poses specific, distinctive and tricky challenges, which has aroused extensive research attention. This paper aims to overview the field of antenna array enabled space/air/ground communications and networking. The technical potentials and challenges of antenna array enabled space/air/ground communications and networking are presented first. Subsequently, the antenna array structures and designs are discussed. We then discuss various emerging technologies facilitated by antenna arrays to meet the new communication requirements of space/air/ground communication systems. Enabled by these emerging technologies, the distinct characteristics, challenges, and solutions for space communications, airborne communications, and ground communications are

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“…As for the data-aided interference suppression schemes related to massive MIMO systems, its main target is to overcome the pilot contamination problem. These methods are completely blind [22] or semi-blind [23], [24] approaches that utilize many received data in addition to the pilot signal in order to estimate both intra-cell and inter-cell CSI. However, these methods do not work properly in the timevarying channel environment since the statistical properties of the received signal change with time in the long data part.…”

Section: A Related Workmentioning

confidence: 99%

Uplink Null-Space Expansion for Multiuser Massive MIMO in Time-Varying Channels Under Unknown Interference

2020

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Uplink Interference Suppression by Semi-Blind Adaptive Array With Decision Feedback Channel Estimation on Multicell Massive MIMO Systems

Cited by 25 publications

References 27 publications

Interference Gaussianization: Time-Domain Inter-Symbol Spreading for Blind Adaptive Array Signal Source Identification

Interference Gaussianization: Time-Domain Inter-Symbol Spreading for Blind Adaptive Array Signal Source Identification

Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

Uplink Null-Space Expansion for Multiuser Massive MIMO in Time-Varying Channels Under Unknown Interference

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