A simple strategy for quantitative analysis in the network optimization method
In recent years,as one of the national only large local networks,mobile communication networks in Shanghai China was becoming more and more complex.There existed some differences between the perception of business clients and the operators' network indicators in the voice services.In order to improve the customer experience,the network synthesis quality optimization was necessary.After the study of optimization goals and principles,a simple method of quantitative analysis was proposed.It defined a series of algorithms used quantitative comparative analysis of the network scenes,looked for the balance of safety,cost and capacity.Finally,a case of the existing network was selected to show that the optimal strategy was effective,repeatable,measurable and evaluable.Specification design and the relationship between optimization strategy and daily production remain to be explored.
We study the pseudogap Anderson model as a prototype system for critical Kondo destruction. We obtain finite-temperature (T) scaling functions near its quantum critical point, using a continuous-time quantum Monte Carlo method and also considering a dynamical large-N limit. We are able to determine the behavior of the scaling functions in the typically-difficult-to-access quantum-relaxational regime (hbar w < k_B T), and conclude that the relaxation rates for both the spin and single-particle excitations are linear in temperature. We discuss the implications of these results for the quantum critical phenomena in heavy fermion metals.