Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xiaodi Ji
dblp:362/2527
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › MIMO › massive MIMO
cell-free massive MIMO |
0.7 | 1 | 2023 | 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 |
0.7 | 1 | 2023 | 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 |
0.7 | 1 | 2023 | 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 |
0.7 | 1 | 2023 | 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 |
0.2 | 1 | 2023 | 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 |
0.2 | 1 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Uplink Performance of Hardware-Impaired Cell-Free Massive MIMO With Multi-Antenna Users and Superimposed PilotsabstractCell-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 |