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Pengfei Ma

4 papers hereh-index 559 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • cs.NI1
  • eess.SY1
same name
  • Pengfei Ma — 2 papers, h 2
  • Pengfei Ma — 2 papers, h 4
  • Pengfei Ma — 2 papers, h 4
  • Pengfei Ma — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRobust Linear Processing for Downlink Multiuser MIMO System With Imperfectly Known Channel

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SY2021

User-Centric Cooperative MEC Service Offloading

Ruoyun Chen, Hancheng Lu, Pengfei Ma

Mobile edge computing provides users with a cloud environment close to the edge of the wireless network, supporting the computing intensive applications that have low latency requi…

cs.NI2021

QoS-Driven Video Uplinking in NOMA-Based IoT

Pengfei Ma, Hancheng Lu, Ming Zhang +2

In recent years, with the explosive growth of visual sensors and a large number of related video applications in Internet of Things (IoT), massive video data is generated by IoT de…

cs.IT2008★ 1 cited

Robust Linear Processing for Downlink Multiuser MIMO System With Imperfectly Known Channel

Pengfei Ma, Xiaochuan Zhao, Mugen Peng +1

This paper proposes a roust downlink multiuser MIMO scheme that exploits the channel mean and antenna correlations to alleviate the performance penalty due to the mismatch between…

cs.IT2008

Joint Transmitter-Receiver Design for the Downlink Multiuser Spatial Multiplexing MIMO System

P. Ma, W. Wang, X. Zhao +1

This paper proposes a joint transmitter-receiver design to minimize the weighted sum power under the post-processing signal-to-interference-and-noise ratio (post-SINR) constraints…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.