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Zhengtao Jin

dblp:396/0741 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-8890-1959ORCID · corroborated

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

Computer networks · 2 · 2 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
2 papers
Physical-layer communications · 100%

Topics — the 10 heaviest of 10, 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
channel modeling
1.012026
Pioneering Scalable Prototype for Mid-Band XL-MIMO Systems: Design and Implementation · IEEE J. Sel. Areas 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 › beamforming
hybrid beamforming
1.012026
Pioneering Scalable Prototype for Mid-Band XL-MIMO Systems: Design and Implementation · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications › MIMO
massive MIMO
1.012026
Pioneering Scalable Prototype for Mid-Band XL-MIMO Systems: Design and Implementation · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications
MIMO
1.012026
Pioneering Scalable Prototype for Mid-Band XL-MIMO Systems: Design and Implementation · IEEE J. Sel. Areas 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
near-field propagation
1.012026
Pioneering Scalable Prototype for Mid-Band XL-MIMO Systems: Design and Implementation · IEEE J. Sel. Areas 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

software-defined radio · 1.0measurement campaign · 1.0channel sounding · 1.0FPGA · 1.0
YearPublicationVenuePosition
2026 Pioneering Scalable Prototype for Mid-Band XL-MIMO Systems: Design and Implementation
abstract
The mid-band frequency range, combined with extra large-scale multiple-input multiple-output (XL-MIMO), is emerging as a key enabler for future communication systems. By exploiting the advent of new spectrum resources and degrees of freedom brought by the near-field propagation, the mid-band XL-MIMO system is expected to significantly enhance throughput and inherently support advanced functionalities such as integrated sensing and communication. Although theoretical studies have highlighted the benefits of mid-band XL-MIMO systems, the promised performance gains have yet to be validated in practical systems, posing a major challenge to the standardization. In this paper, preliminaries including frame structure, channel modeling, and signal models are first discussed, followed by an analysis of key challenges in constructing a real-time prototype system. Subsequently, the design and implementation of a real-time mid-band XL-MIMO prototype system are presented. Underpinned by a novel architecture, the proposed prototype system supports specifications aligned with standardization, including a bandwidth of 200 MHz, up to 1024 antenna elements, and up to 256 transceiver chains. Operating in time-division duplexing mode, the prototype enables multiuser communication for up to 12 users, while retaining standard communication procedures. Built on hybrid software-defined radio and field programmable gate array platforms, the prototype is programmable and allows for flexible deployment of advanced algorithms. Moreover, the modular architecture ensures high scalability, making the prototype adaptable to various configurations, including distributed deployments and decentralized signal processing. Experimental results demonstrate that the prototype handles real-time digital sample processing at 1453.33 Gbps and achieves a peak data throughput of 15.81 Gbps for 12 users.
Jiachen Tian 0001, Yu Han 0004, Zhengtao Jin, Xi Yang 0003, Jie Yang 0035, Wankai Tang, Xiao Li 0001, Wenjin Wang 0001, Shi Jin 0002
IEEE J. Sel. Areas Commun.3
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.2