Science Explorer Interactive view Map

Advanced Wireless Communication Techniques

Advanced Wireless Communication Techniques is a research topic within Electrical and Electronic Engineering. Science Explorer counts 50k research works in it since 1950. 12.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) techniques in wireless communications. It covers topics such as space-time coding, channel estimation, turbo codes, frequency domain equalization, antenna selection, iterative decoding, and signal constellations in the context of fading channels.

  • MIMO-OFDM
  • space-time coding
  • channel estimation
  • wireless communications
  • fading channels
  • turbo codes
  • frequency domain equalization
  • antenna selection
  • iterative decoding
  • signal constellations
Research works
50k
fractional, since 1950
In the world top 10%
6.1k
per year above
Top-10% rate
12.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-35%
the tick is no change

Which countries lead Advanced Wireless Communication Techniques research?

By volume, China and India publish the most (1.2k and 398 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 India 398 works
  3. 3 United States 282 works
  4. 4 South Korea 136 works
  5. 5 Japan 122 works
  6. 6 Germany 121 works
  7. 7 United Kingdom 96 works
  8. 8 France 90 works
  9. 9 Russia 86 works
  10. 10 Canada 73 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 45.5%India: 15.4%United States: 10.9%South Korea: 5.3%6 others listed: 22.8%46%largest
China1,175 · 45.5%India398 · 15.4%United States282 · 10.9%South Korea136 · 5.3%6 others listed589 · 22.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Advanced Wireless Communication Techniques research?

By volume in 2022–2025, Southeast University publishes the most Advanced Wireless Communication Techniques research, followed by Beijing University of Posts and Telecommunications and University of Electronic Science and Technology of China.

Who are the leading researchers in Advanced Wireless Communication Techniques?

The most-cited researchers publishing on Advanced Wireless Communication Techniques include H. Vincent Poor, Ian F. Akyildiz and Robert W. Heath.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Ian F. Akyildiz United States 8.2k citations
  3. 3 Robert W. Heath United States 7.1k citations
  4. 4 Rui Zhang Singapore 6k citations
  5. 5 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  6. 6 Guanrong Chen Hong Kong 5.4k citations
  7. 7 Zhu Han United States 4.7k citations
  8. 8 Georgios B. Giannakis United States 4.6k citations
  9. 9 Zhiguo Ding United Kingdom 4.4k citations
  10. 10 Andreas F. Molisch United States 4.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Advanced Wireless Communication Techniques research done?

The largest centres of Advanced Wireless Communication Techniques research in 2022–2025 are Beijing (China), Nanjing (China), Xi'an (China) and Chengdu (China).

Largest cities, 2022–2025

  1. 1 Beijing China 288 works
  2. 2 Nanjing China 146 works
  3. 3 Xi'an China 97 works
  4. 4 Chengdu China 73 works
  5. 5 Shanghai China 66 works
  6. 6 Guangzhou China 63 works
  7. 7 Tokyo Japan 60 works
  8. 8 Shenzhen China 60 works
  9. 9 Seoul South Korea 58 works
  10. 10 Bengaluru India 46 works
See Advanced Wireless Communication Techniques on the map

Where is the best place to study Advanced Wireless Communication Techniques?

Among universities, judged by research, University of Luxembourg, Southeast University and Beijing University of Posts and Telecommunications score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 14.24%fractional works in this node (log) →share in the world top 10% →University of Luxembourg: 9, 35.3%Southeast University: 69, 11.3%Beijing University of Posts and Telecommunications: 58, 10.5%University of Electronic Science and Technology of China: 41, 8.1%Xidian University: 38, 7.5%Sun Yat-sen University: 34, 12.1%University of Oulu: 10, 16.0%UNSW Sydney: 14, 23.3%University of Surrey: 11, 9.4%Beijing Institute of Technology: 32, 8.9%University of Luxemb…Southeast UniversityBeijing University o…University of Electr…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of LuxembourgLuxembourg 72.335.3%11.2×9 +117.7%
2 Southeast UniversityChina 59.411.3%15.2×69 -18.8%
3 Beijing University of Posts and TelecommunicationsChina 54.210.5%28.2×58 -39.4%
4 University of Electronic Science and Technology of ChinaChina 49.58.1%10.8×41 -42.5%
5 Xidian UniversityChina 48.57.5%15.3×38 -32.1%
6 Sun Yat-sen UniversityChina 47.112.1%6.5×34 +48.8%
7 University of OuluFinland 47.016.0%12.1×10 -49.5%
8 UNSW SydneyAustralia 45.023.3%5.0×14 +1.9%
9 University of SurreyUnited Kingdom 44.39.4%13.1×11 -30.4%
10 Beijing Institute of TechnologyChina 43.78.9%8.0×32 -12.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Advanced Wireless Communication Techniques research growing?

Output in 2018–2022 was 35% lower than in 2013–2017, peaking in 2002.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.