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查看斯高帕斯 (Scopus) 概要
李 明峻
副教授
電信工程研究所
https://orcid.org/0000-0002-3493-3998
h-index
h10-index
h5-index
502
引文
13
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
501
引文
13
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
180
引文
7
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
2014
2024
每年研究成果
概覽
指紋
網路
計畫
(2)
研究成果
(59)
類似的個人檔案
(6)
指紋
查看啟用 Ming-Chun Lee 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
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重量
按字母排序
Keyphrases
Base Station
32%
Cache Replacement
59%
Caching
100%
Communication Optimization
17%
Configuration Selection
11%
Content Replacement
11%
D2D Caching
31%
D2D Networks
35%
Deep Learning
13%
Deep Learning Methods
12%
Device-to-device (D2D) Communication
16%
Energy Efficiency
15%
Error Bound
16%
Federated Learning
17%
Hybrid Precoder
13%
Hybrid Precoding
12%
In-network Caching
32%
Individual Preferences
29%
Joint Caching
17%
Joint Communication
17%
Machine Learning Models
16%
MIMO Systems
17%
Mobile Edge Caching
17%
Multicast
11%
Multiple-input multiple-output System
30%
Outage
20%
Outage Analysis
31%
Outage Probability
15%
Physical Model
11%
Policy Design
17%
Popularity Distribution
33%
Precoder Design
24%
Preference Probabilities
11%
Preference-aware
17%
Probability Model
11%
Proposed Design
29%
Radar Performance
12%
Radar System
36%
Roadside Unit
17%
Scaling Laws
24%
Single-hop
11%
Spatial Modulation
36%
Throughput Efficiency
11%
UAV
23%
Video Delivery
15%
Wireless
62%
Wireless Multihop
11%
Wireless Networks
24%
Zipf
15%
Zipf Distribution
12%
Engineering
Analytical Result
7%
Automotive Radar
11%
Basestation
13%
Beamforming
13%
Bit Error Rate
10%
Cell Search
11%
Cellular Network
8%
Channel State Information
8%
Closed Form Expression
10%
Communication System
19%
Deep Learning Method
24%
Division Duplex
5%
Energy Conservation
11%
Energy Efficiency
11%
Exhaustive Search
7%
Frequency Division
12%
Frequency Modulated Continuous Wave
13%
Intelligent Transportation System
9%
Iterative Algorithm
7%
Joints (Structural Components)
32%
Massive MIMO
7%
Millimeter Wave
13%
Mode Selection
7%
Multiple Access
5%
Multiple-Input Multiple-Output
52%
Network Edge
11%
Object Recognition
5%
Outage Probability
17%
Outages
40%
Outer Bound
7%
Output System
28%
Performance Improvement
6%
Phase Shifters
9%
Physical Model
11%
Power Allocation
6%
Power Control
8%
Precoder Design
23%
Precoders
6%
Radar Systems
44%
Rate Analysis
5%
Road
11%
Roadsides
29%
Scaling Law
32%
Search Method
13%
Simulation Result
12%
Spatial Modulation
36%
Spectral Efficiency
9%
System State
5%
Systems Performance
6%
Unmanned Aerial Vehicle
17%
Computer Science
Achievable Performance
8%
Antenna System
11%
Cellular Network
17%
Channel Realization
6%
Computer Simulation
6%
Correlation Analysis
5%
Deep Learning Method
14%
Deep Neural Network
15%
Design Problem
9%
Device-To-Device
56%
Energy Consumption
8%
Energy Efficiency
23%
Extracted Feature
5%
Fading Channel
6%
Fault Diagnosis
9%
Federated Learning
23%
Hit Rate
11%
Individual User
11%
Learning System
17%
Machine Learning
17%
MIMO Systems
31%
Modeling Framework
11%
Multicasting
11%
multiple-input-multiple-output
13%
Object Recognition
5%
Optimization Framework
6%
Optimization Problem
21%
Organizing Network
11%
Outage Probability
11%
Performance Improvement
7%
Performance Metric
8%
Physical Model
11%
Power Allocation
6%
Precoder Design
12%
precoding
11%
Reference Scheme
14%
Resource Allocation
11%
Search Procedure
5%
Sparsity
5%
Spectral Efficiency
11%
sum rate
11%
Systems Performance
6%
Training Error
13%
Transmission Rate
7%
Unmanned Aerial Vehicle
23%
User Preference
29%
Vehicular Network
11%
Wireless Device
18%
Wireless Network
25%
Zipf Distribution
17%