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S. Mao

38 papers hereh-index 7220.3k citations463 works total

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

author position
  • middle author24
  • last author14

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.IT16
  • cs.NI13
  • cs.AI2
  • cs.LG2
  • cs.CE1
  • cs.CR1
same name
  • S. Mao — 223 papers, h 49
  • S. Mao — 34 papers, h 14
  • S. Mao — 24 papers, h 12
  • S. Mao — 18 papers, h 17
  • S. Mao — 16 papers, h 9
  • S. Mao — 16 papers, h 4

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

activity
20112023
most citedBase Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

192 citations · 760 across the 38 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.NI2016★ 4 cited

Interference Management in Massive MIMO HetNets: A Nested Array Approach

Mingjie Feng, Shiwen Mao

The nested array, which is implemented by nonuniform antenna placement, is an effective approach to achieve O(N^2) degrees of freedom (DoF) with an antenna array of N antennas. Suc…

cs.NI2016★ 2 cited

CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach

Xuyu Wang, Lingjun Gao, Shiwen Mao +1

With the fast growing demand of location-based services in indoor environments, indoor positioning based on fingerprinting has attracted a lot of interest due to its high accuracy.…

cs.NI2016★ 55 cited

BOOST: Base station on-off switching strategy for energy efficient massive MIMO HetNets

Mingjie Feng, Shiwen Mao, Tao Jiang

In this paper, we investigate the problem of optimal base station (BS) ON-OFF switching and user association in a heterogeneous network (HetNet) with massive MIMO, with the objecti…

cs.NI2016★ 30 cited

Harvest the potential of massive MIMO with multi-layer techniques

Mingjie Feng, Shiwen Mao

Massive MIMO is envisioned as a promising technology for 5G wireless networks due to its high potential to improve both spectral and energy efficiency. Although the massive MIMO sy…

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