Sarah J. Johnson
Electrical and Electronic Engineering · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 57 citations into it; #12,841 of 16,539 by trust here, #13,165 by citations
- Computer Networks and Communications — 25 citations into it
- Biomedical Engineering — 6 citations into it; #8,468 of 10,734 by trust here, #9,262 by citations
Whom Sarah J. Johnson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sarah J. Johnson overall
Papers from Sarah J. Johnson's perspective
Ordered by how strongly the researchers Sarah J. Johnson trusts endorse each paper. Same corpus, a different order for every researcher.
- Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming (IEEE Transactions on Wireless Communications)
- Learning to decode linear codes using deep learning (Allerton Conference on Communication, Control, and Computing)
- Deep Learning for an Effective Nonorthogonal Multiple Access Scheme (IEEE Transactions on Vehicular Technology)
- Information Theory: 1948-1998 - Guest Editorial
- The Application of MIMO to Non-Orthogonal Multiple Access (IEEE Transactions on Wireless Communications)
- Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations (IEEE Communications Magazine)
- Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions (IEEE Transactions on Vehicular Technology)
- Wireless Communications Through Reconfigurable Intelligent Surfaces (IEEE Access)
- A General Power Allocation Scheme to Guarantee Quality of Service in Downlink and Uplink NOMA Systems (IEEE Transactions on Wireless Communications)
- Deep Learning Based Communication Over the Air
Their papers
- Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations (2016) — 320 citations
- Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019) — 395 citations