Kaiming Shen
Electrical and Electronic Engineering · 2018
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 11 citations into it; #2,267 of 16,539 by trust here, #10,998 by citations
- Computer Networks and Communications — 10 citations into it; #4,527 of 9,886 by trust here, #8,844 by citations
Whom Kaiming Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhi-Quan Tom Luo
- John Papandriopoulos
- Alessio Zappone
- Qingjiang Shi
- Søren Skovgaard Christensen
- Mung Chiang
- Wei Yu
- Derrick Wing Kwan Ng
- Eduard Axel Jorswieck
- Shuzhong Zhang
Who trusts Kaiming Shen overall
- Zijian Zhang
- Linglong Dai
- Yasar Sinan Nasir
- Nanchi Su
- Huayan Guo
- Wei Yu
- Yuanwei Liu
- Nguyen Cong Luong
- Dongning Guo
- Ying-Chang Liang
Papers from Kaiming Shen's perspective
Ordered by how strongly the researchers Kaiming Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Dynamic Spectrum Management: Complexity and Duality (IEEE Journal on Selected Topics in Signal Processing)
- An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel
- Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas (IEEE Transactions on Wireless Communications)
- An introduction to convex optimization for communications and signal processing (IEEE Journal on Selected Areas in Communications)
- Nonlinear Fractional Programming
- Geometric Programming for Communication Systems (Foundations and Trends in Communications and Information Theory)
- Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design (IEEE Transactions on Wireless Communications)
- Optimization
- SCALE: A Low-Complexity Distributed Protocol for Spectrum Balancing in Multiuser DSL Networks (IEEE Transactions on Information Theory)
- Energy Efficiency in Wireless Networks via Fractional Programming Theory (Foundations and Trends in Communications and Information Theory)
Their papers
- Fractional Programming for Communication Systems—Part I: Power Control and Beamforming (2018) — 1,851 citations
- Fractional Programming for Communication Systems—Part II: Uplink Scheduling via Matching (2018) — 565 citations