To cater for the demands of future fifth generation (5G) ultra-dense small cell networks, the wireless backhaul network is an attractive solution for the urban deployment of 5G wireless networks. Optimization of 5G wireless backhaul networks is a key issue. In this paper we propose a two-scale optimization solution to maximize the cost efficiency of 5G wireless backhaul networks. Specifically, ...

We consider a Cournot Oligopoly market of firms possessing increasing returns to scale technologies (which may not be identical). It is shown that an external regulating agency can increase total social welfare without running a deficit by offering to subsidize one firm an amount which depends on the output level of that firm and the market price. The firms bid for this contract, the regulator ...

Essays on Scale Economies and Efficiency in Public Education

Scalability is a main obstacle for applying Model-Driven Engineering to reverse engineering, or to any other activity manipulating large models. Existing solutions to persist and query large models are currently inefficient and strongly linked to memory availability. In this paper, we propose a memory unload strategy for Neo4EMF, a persistence layer built on top of the Eclipse Modeling Framewor...

The relation between the central mass and quasar luminosity (MBH ∝ L α FHWM ) links a given Eddington ratio with a value of H0, within a cosmology with fixed (Ωm,ΩΛ). We point out that because the relation is calibrated at low z using distance independent reverberation mapping to get the BLR size, the derived MBH interestingly does not depend on H0, while L/LEdd is sensitive to H0, but rather r...

Since the passage of Dodd-Frank, government regulators have become more interested than ever in the significant increase of bank size in the U.S. financial sector. To shed light on the reasons of the bank size increase and its effects on banks, we study the dynamic interactions between size, cost efficiency and returns to scale. Using Fourier flexible form, we show that banks of all but the lar...

In this paper we propose new methods for solving huge-scale optimization problems. For problems of this size, even the simplest full-dimensional vector operations are very expensive. Hence, we propose to apply an optimization technique based on random partial update of decision variables. For these methods, we prove the global estimates for the rate of convergence. Surprisingly enough, for cert...

We describe indexing and retrieval techniques that are suited to perform terabyte-scale information retrieval tasks on a standard desktop PC. Starting from an Okapi-BM25-based default baseline retrieval function, we explore both sides of the effectiveness spectrum. On one side, we show how term proximity can be integrated into the scoring function in order to improve the search results. On the ...

We apply the recently developed replica exchange with solute tempering (REST) to three large solvated peptide systems: an alpha-helix, a beta-hairpin, and a TrpCage, with these peptides defined as the "central group". We find that our original implementation of REST is not always more efficient than the replica exchange method (REM). Specifically, we find that exchanges between folded (F) and u...