Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks
By Lan Zhang, Ying-Chang Liang, Yan Xin. IEEE Journal on Selected Areas in Communications, 2008
406 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8885b9ef5c188a29d3436ad73371533bf56f3dd1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rui Zhang
- Ying-Chang Liang
- Xin Kang
- Georgios B. Giannakis
- Seung-Jun Kim
- Tony Q. S. Quek
- Arumgam Nallanathan
- Hari Krishna Garg
In Electrical and Electronic Engineering
- Rui Zhang
- Ying-Chang Liang
- Arumgam Nallanathan
- Georgios B. Giannakis
- Tony Q. S. Quek
- Xin Kang
- Seung-Jun Kim
- Steven H. Low
Citations in the corpus
- Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks (2008, methodology): “Here, we specifically adopt the spectrum underlay architecture, where the interference power at the PU is regulated [34].”
- Ten years of research in spectrum sensing and sharing in cognitive radio (2012, neutral): “Under IPCs and peak TPCs, the power allocation and beamforming design for sum-rate maximization and signal-to-interference-plus-noise ratios (SINRs) balancing problems have been studied for SIMO systems in [92].”
- Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity (2008, background): “for multi-antenna CR transmitters, and in [12] for multiple CR transmitters in a multiple-access channel (MAC).”
- Max-Min SINR Coordinated Multipoint Downlink Transmission—Duality and Algorithms (2012, methodology): “Moreover, the proof in [20] that shows one can decouple multiple power constraints into subproblems each involving one power constraint relies on induction, which does not give insight into the problem structure.”