Mehdi Naderi Soorki

TL;DR: A quantification of the risk for an unreliable VR performance is conducted through a novel and rigorous characterization of the tail of the end-to-end (E2E) delay, and system reliability for scenarios with guaranteed line-of-sight (LoS) is derived as a function of THz network parameters after deriving a novel expression for the probability distribution function of the THz transmission delay.

TL;DR: In this article, the authors characterize seven unique defining features of the terahertz (THz) wireless systems: 1) Quasi-opticality of the band, 2) THz-tailored wireless architectures, 3) Synergy with lower frequency bands, 4) Joint sensing and communication systems, 5) PHY-layer procedures, 6) Spectrum access techniques, and 7) Real-time network optimization.

TL;DR: In this paper, a risk-based framework based on the entropic value-at-risk is proposed for rate optimization and reliability performance for a wireless VR network, and a Lyapunov optimization technique is used to reformulate the problem as a linear weighted function, while ensuring that higher order statistics of the queue length are maintained under a threshold.

TL;DR: Simulation results show that, as the packet transmission probability of machines increases, the minimum number of UAVs required to guarantee the queue rate stability ofCHs will also significantly increase, and the average transmit power of CHs will decrease by 68% when Uavs are used.

TL;DR: In this paper, an optimal scheduling and resource allocation mechanism for cluster-based machine-to-machine (M2M) communications is proposed to minimize CHs' transmit power while satisfying the rate requirements of M2M devices.