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Xiaodi Ji

dblp:362/2527 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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 · 78% Cellular and mobile networks · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › MIMO › massive MIMO
cell-free massive MIMO
0.712023
Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots · IEEE Trans. Commun. 2023
Physical-layer communications
hardware impairments
0.712023
Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots · IEEE Trans. Commun. 2023
Physical-layer communications › channel estimation › pilot design
superimposed pilots
0.712023
Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots · IEEE Trans. Commun. 2023
Cellular and mobile networks › uplink transmission
uplink performance
0.712023
Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots · IEEE Trans. Commun. 2023
Physical-layer communications
channel estimation
0.212023
Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots · IEEE Trans. Commun. 2023
Physical-layer communications › channel estimation
pilot contamination
0.212023
Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots · IEEE Trans. Commun. 2023

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

maximum ratio combining · 0.7large-scale fading decoding · 0.7MMSE combining · 0.7
YearPublicationVenuePosition
2023 Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed Pilots
abstract
Cell-free massive multiple-input multiple-output (mMIMO) has recently been proposed to improve cell edge performance. However, most prior works consider perfect hardware impairments (HIs), which are difficult to be achieved in practical systems. This paper studies the impact of HI in an uplink cell-free mMIMO system with both multi-antenna access points (APs) and multi-antenna user terminals (UTs) under the Weichselberger channel model.Firstly, we study a two-layer decoding scheme with local minimum mean-squared error or maximum ratio combining at the AP side and with optimal large-scale fading decoding in the central processing unit. We derive novel closed-form SE expressions and prove that the effect of HI can be mitigated in the case of UTs with multiple antennas. However, the achievable SE is constrained by the pilot contamination and pilot overhead. To this end, the superimposed pilot (SP) transmission method is considered in this paper, where all the coherence intervals are used for both pilot and data symbols transmission. Finally, numerical results verify our derived expressions and reveal the relationship between HI and the number of antennas per UT for different pilot schemes. Note that the advantages of SP over regular pilots disappear when the hardware quality decreases with multi-antenna UTs.
Qiang Sun 0001, Xiaodi Ji, Zhe Wang 0018, Yongjie Yang 0002, Jiayi Zhang 0001, Kai-Kit Wong
IEEE Trans. Commun.2