Draft genome sequences of <i>Bacillus subtilis</i> ATCC 6051 strains differing in colony morphology. [PDF]
Strong-Lundquist G, Robleto E.
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AI-driven dynamic resource allocation for ISAC systems in 6G networks: intelligent beamforming, interference management, and power allocation. [PDF]
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Research on Resource Allocation in Cognitive Radio Networks Assisted by IRS. [PDF]
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Hybrid Deployment Optimization Algorithm for Reconfigurable Intelligent Surface. [PDF]
Lin Y, Lin X, Han Z, Wang Y.
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Gao Z, Wu B, Huang P, Xu W, Tan W, Wu Z.
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BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC
Dao DN, Miao Y.
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The rules governing the availability and quality of connections in a wireless network are described by physical models such as the signal-to-interference & noise ratio (SINR) model. For a collection of simultaneously transmitting stations in the plane, it is possible to identify a
Chen Avin, Zvi Lotker, Liam Roditty
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Power selection for maximizing SINR in femtocells for specified SINR in macrocell
2011 IEEE Wireless Communications and Networking Conference, 2011For wireless femtocells situated within a macrocell with a given transmitter power, we solve the problem of determining the femtocell transmitter power levels that maximize the SINR achieved in the femtocells, subject to a constraint on the minimum SINR realized in the macrocell.
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On the statistics of SINR in cellular networks
2015 IEEE International Conference on Communications (ICC), 2015We provide new results on the signal-to-interference-plus-noise ratio (SINR) statistics considering a Poisson point process (PPP)-based heterogeneous interference field. In particular, closed-form expressions for the density functions of the reciprocal of the aggregate interference and signal-to-interference ratio (SIR) are developed. We prove that the
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