In this paper, we propose a hybrid M -ary Quadrature Amplitude Modulation (M -QAM) transmission scheme that jointly uses adaptive modulation and selection combining for singular value decomposition (SVD)-based multiple-input multiple-output (MIMO) systems (AMSC-MIMO). We derive exact closed-form expressions of the performance of the proposed scheme in terms of the average spectral efficiency an...

We characterize the efficiency space of deterministic, dominant-strategy incentive compatible, individually rational and Pareto-optimal combinatorial auctions in a model with two players and k nonidentical items. We examine a model with multidimensional types, private values and quasilinear preferences for the players with one relaxation: one of the players is subject to a publicly known budget...

We consider a service provider facing a continuum of delay-sensitive strategic customers. The service provider maximizes revenue by charging customers for the privilege of joining an M/G/1 queue and assigning them service priorities. Each customer has a valuation for the service, with a waiting cost per unit time that is proportional to their valuation; customer types are drawn from a continuou...

Economic intuition suggests that increased competition generates lower prices. However, recent theoretical work shows that a monopolist may charge a lower price than a firm facing a competitor selling a differentiated product. The direction of the price change when competition is introduced is dependent upon the joint distribution of buyer values for the two products. We explore this relationsh...

We investigate the effects of market making on market performance, focusing on allocative efficiency as well as gains from trade accrued by background traders. We employ empirical simulationbased methods to evaluate heuristic strategies for market makers as well as background investors in a variety of complex trading environments. Our market model incorporates private and common valuation eleme...

This work investigates a method to search practically desirable solutions expanding the objective space with additional fitness functions associated to particular decision variables. The aim is to find solutions around preferred values of the chosen variables while searching for optimal solutions in the original objective space. Solutions to be practically desirable are constrained to be within...

The use of possibilistic networks for representing conditional preference statements on discrete variables has been proposed only recently. The approach uses non-instantiated possibility weights to define conditional preference tables. Moreover, additional information about the relative strengths of these symbolic weights can be taken into account. The fact that at best we have some information...

Precision marketing offers personalized customer service and is used to help enterprises increase their profits by means of high-efficiency marketing. This paper presents a novel decision-making framework for precision marking using data-mining techniques. First, this study presents a trend model to accurately predict monthly supply quantity; second, it uses a RFM (Recency, Frequency and Moneta...

We consider market rules for transferring IP addresses, numeric identifiers required by all computers connected to the Internet. Transfers usefully move resources from lowest to highest-valuation networks, but transfers tend to cause socially costly growth in the Internet’s routing table. We propose a market rule that avoids excessive trading and comes close to achieving social efficiency. We a...

We derive optimal strategies for a bidding agent that participates in multiple, simultaneous second-price auctions with perfect substitutes. We prove that, if everyone else bids locally in a single auction, the global bidder should always place non-zero bids in all available auctions, provided there are no budget constraints. With a budget, however, the optimal strategy is to bid locally if thi...