The proposed approach can achieve the best user-perceived video quality by jointly optimizing system parameters residing in different network layers, including real-time video coding parameters at the application layer, packet sending rate at the transport layer, and modulation and coding scheme at the physical layer.
More specifically, we will extend the results of[19, 20] by jointly optimizing these three resampling parameters both in the frequency domain and the time domain.
This paper aims to design energy and spectrum-aware MAC protocols for WNSNs with the objective to achieve fair, throughput and lifetime optimal channel access by jointly optimizing the energy harvesting and consumption processes in nanosensors.
We formulate a partially observable Markov decision process (POMDP) that integrates these two fields by jointly optimizing the conditioned-based maintenance policy and dynamic control chart parameters used to observe the system.
Finally, we presented a distributed implementation strategy to construct the cross-layer optimization framework for congestion and power control by jointly optimizing PLPC-HHCC simultaneously and validated its performance with simulations.
In what follows, we would like to describe the distributed implementation strategy to realize the cross-layer optimization framework for congestion and power control by jointly optimizing PLPC-HHCC simultaneously.
A new energy-efficient multi-hop routing algorithm was investigated for multi-hop D2D system by jointly optimizing channel reusing and power allocation.
Finally, simulation results are presented to demonstrate the effectiveness of the proposed framework for congestion and power control by jointly optimizing the PLPC-HHCC problem simultaneously.
We find that, by jointly optimizing all filters with deep learning, the complexity can be reduced significantly for similar accuracy.
For example, in [24], the speakers are estimated by jointly optimizing a soft time-frequency mask layer with deep recurrent neural networks.
Secondly, unlike previous works (see, e.g., [25]), our goal is to minimize the total transmission completion time for two-way relay flows to guarantee their fairness by jointly optimizing system resource allocation, including subcarriers, powers, and flows' transmission rates.
