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Xiayang Chen

dblp:221/0741 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0008-4377-4977ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › channel modeling › channel characterization
channel measurement
1.012026
Multi-Scenario Channel Measurements and Modeling for Subarray-Based Mid-Band XL-MIMO Systems at 7.8-GHz · IEEE Trans. Commun. 2026
Physical-layer communications › MIMO › massive MIMO
extremely large-scale MIMO
1.012026
Multi-Scenario Channel Measurements and Modeling for Subarray-Based Mid-Band XL-MIMO Systems at 7.8-GHz · IEEE Trans. Commun. 2026
Physical-layer communications
multiple-antenna systems
1.012026
Multi-Scenario Channel Measurements and Modeling for Subarray-Based Mid-Band XL-MIMO Systems at 7.8-GHz · IEEE Trans. Commun. 2026
Physical-layer communications › channel modeling › channel characterization
wireless channel characterization
1.012026
Multi-Scenario Channel Measurements and Modeling for Subarray-Based Mid-Band XL-MIMO Systems at 7.8-GHz · IEEE Trans. Commun. 2026
Physical-layer communications › antenna systems
distributed antenna systems
0.312026
Multi-Scenario Channel Measurements and Modeling for Subarray-Based Mid-Band XL-MIMO Systems at 7.8-GHz · IEEE Trans. Commun. 2026

Methods — techniques the papers use, named apart from their topics

measurement campaign · 1.0channel sounding · 1.0
YearPublicationVenuePosition
2026 Multi-Scenario Channel Measurements and Modeling for Subarray-Based Mid-Band XL-MIMO Systems at 7.8-GHz
abstract
Mid-band extra large-scale multiple-input multiple-output (XL-MIMO) systems are considered a key enabler for future wireless communications, offering enhanced throughput and extended coverage. Combined with subarray-based architecture and distributed signal processing, the computational complexity and implementation overhead are reduced. However, uncertain channel characteristics associated with the novel frequency band present significant bottlenecks, hindering the development of hardware architecture and algorithm design. Meanwhile, channel characteristics across distributed processing units remain insufficiently explored. In response, a mid-band channel sounder is constructed, and extensive measurement campaigns are carried out across various typical scenarios. Initially, mid-band channel characteristics are unveiled and compared across different scenarios. Subsequently, the mid-band XL-MIMO channel characteristics are analyzed using a virtual array comprising 256 array antennas and 64 transceiver chains. Moreover, motivated by the potential of distributed processing, mid-band XL-MIMO channel characteristics are particularly investigated from the perspectives of subarrays and sub-bands, encompassing subarray-wise non-stationarities, consistencies, far-field approximations, and sub-band characteristics. Through the combination of analysis and measurement validation, several insights and benefits are revealed, particularly relevant to distributed architecture and processing, which provides practical guidance for the real-world deployment of mid-band XL-MIMO systems.
Jiachen Tian 0001, Zhengtao Jin, Xiayang Chen, Yu Han 0004, Xiao Li 0001, Shi Jin 0002, Wenjin Wang 0001, Chao-Kai Wen
IEEE Trans. Commun.3