Kenneth E. Kolodziej
Electrical and Electronic Engineering · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 15 citations into it
Whom Kenneth E. Kolodziej trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dinesh Bharadia
- Evan Everett
- Jung Il Choi
- Dani Korpi
- Ashutosh Sabharwal
- Achaleshwar Sahai
- Mayank Jain
- Sachin Rajsekhar Katti
- Zhongshan Zhang
- Marco F. Duarte
Who trusts Kenneth E. Kolodziej overall
Papers from Kenneth E. Kolodziej's perspective
Ordered by how strongly the researchers Kenneth E. Kolodziej trusts endorse each paper. Same corpus, a different order for every researcher.
- Achieving single channel, full duplex wireless communication (ACM/IEEE International Conference on Mobile Computing and Networking)
- Pushing the limits of Full-duplex: Design and Real-time Implementation (arXiv.org)
- Full duplex radios (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- MIDU: enabling MIMO full duplex (ACM/IEEE International Conference on Mobile Computing and Networking)
- Passive Self-Interference Suppression for Full-Duplex Infrastructure Nodes (IEEE Transactions on Wireless Communications)
- Full-duplex wireless communications using off-the-shelf radios: Feasibility and first results (2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers)
- In-Band Full-Duplex Wireless: Challenges and Opportunities (IEEE Journal on Selected Areas in Communications)
- Widely Linear Digital Self-Interference Cancellation in Direct-Conversion Full-Duplex Transceiver (IEEE Journal on Selected Areas in Communications)
- Experiment-Driven Characterization of Full-Duplex Wireless Systems (IEEE Transactions on Wireless Communications)
- Applications of self-interference cancellation in 5G and beyond (IEEE Communications Magazine)
Their papers
- In-Band Full-Duplex Technology: Techniques and Systems Survey (2019) — 568 citations
- Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations