5,734 research outputs found
Resource Allocation in Wireless Networks with RF Energy Harvesting and Transfer
Radio frequency (RF) energy harvesting and transfer techniques have recently
become alternative methods to power the next generation of wireless networks.
As this emerging technology enables proactive replenishment of wireless
devices, it is advantageous in supporting applications with quality-of-service
(QoS) requirement. This article focuses on the resource allocation issues in
wireless networks with RF energy harvesting capability, referred to as RF
energy harvesting networks (RF-EHNs). First, we present an overview of the
RF-EHNs, followed by a review of a variety of issues regarding resource
allocation. Then, we present a case study of designing in the receiver
operation policy, which is of paramount importance in the RF-EHNs. We focus on
QoS support and service differentiation, which have not been addressed by
previous literatures. Furthermore, we outline some open research directions.Comment: To appear in IEEE Networ
(μ-Acetato){μ-1,3-bis[2-(2-oxidobenzylideneamino)ethyl]-2-(2-oxidophenyl)-1,3-imidazolidine}dizinc(II) ethanol disolvate dihydrate
In the title binuclear compound, [Zn2(C27H27N4O3)(C2H3O2)]·2CH3CH2OH·2H2O, both Zn cations adopt distorted ZnO3N2 trigonal-bipyramidal geometries with one N atom in a axial site and one N atom in an equatorial site, arising from coordination by the N,N,N,N,O,O,O-heptaÂdentate ligand and a bridging acetate ion. In the crystal, interÂmolecular O—H⋯O hydrogen bonds link the component units into a three-dimensional network. Two short C—H⋯O contacts are also seen
Boundedness of some sublinear operators and commutators on Morrey-Herz spaces with variable exponents
summary:We introduce a new type of variable exponent function spaces of Morrey-Herz type where the two main indices are variable exponents, and give some propositions of the introduced spaces. Under the assumption that the exponents and are subject to the log-decay continuity both at the origin and at infinity, we prove the boundedness of a wide class of sublinear operators satisfying a proper size condition which include maximal, potential and Calderón-Zygmund operators and their commutators of BMO function on these Morrey-Herz type spaces by applying the properties of variable exponent and BMO norms
Applications of Repeated Games in Wireless Networks: A Survey
A repeated game is an effective tool to model interactions and conflicts for
players aiming to achieve their objectives in a long-term basis. Contrary to
static noncooperative games that model an interaction among players in only one
period, in repeated games, interactions of players repeat for multiple periods;
and thus the players become aware of other players' past behaviors and their
future benefits, and will adapt their behavior accordingly. In wireless
networks, conflicts among wireless nodes can lead to selfish behaviors,
resulting in poor network performances and detrimental individual payoffs. In
this paper, we survey the applications of repeated games in different wireless
networks. The main goal is to demonstrate the use of repeated games to
encourage wireless nodes to cooperate, thereby improving network performances
and avoiding network disruption due to selfish behaviors. Furthermore, various
problems in wireless networks and variations of repeated game models together
with the corresponding solutions are discussed in this survey. Finally, we
outline some open issues and future research directions.Comment: 32 pages, 15 figures, 5 tables, 168 reference
A new integral equation formulation for American put options
In this paper, a completely new integral equation for the price of an American put option as well as its optimal exercise price is successfully derived. Compared to existing integral equations for pricing American options, the new integral formulation has two distinguishable advantages: (i) it is in a form of one-dimensional integral, and (ii) it is in a form that is free from any discontinuity and singularities associated with the optimal exercise boundary at the expiry time. These rather unique features have led to a significant enhancement of the computational accuracy and efficiency as shown in the examples
Style Generation: Image Synthesis based on Coarsely Matched Texts
Previous text-to-image synthesis algorithms typically use explicit textual
instructions to generate/manipulate images accurately, but they have difficulty
adapting to guidance in the form of coarsely matched texts. In this work, we
attempt to stylize an input image using such coarsely matched text as guidance.
To tackle this new problem, we introduce a novel task called text-based style
generation and propose a two-stage generative adversarial network: the first
stage generates the overall image style with a sentence feature, and the second
stage refines the generated style with a synthetic feature, which is produced
by a multi-modality style synthesis module. We re-filter one existing dataset
and collect a new dataset for the task. Extensive experiments and ablation
studies are conducted to validate our framework. The practical potential of our
work is demonstrated by various applications such as text-image alignment and
story visualization. Our datasets are published at
https://www.kaggle.com/datasets/mengyaocui/style-generation
Robust portfolio optimization with multi-factor stochastic volatility
This paper studies a robust portfolio optimization problem under the
multi-factor volatility model introduced by Christoffersen et al. (2009). The
optimal strategy is derived analytically under the worst-case scenario with or
without derivative trading. To illustrate the effects of ambiguity, we compare
our optimal robust strategy with some strategies that ignore the information of
uncertainty, and provide the corresponding welfare analysis. The effects of
derivative trading to the optimal portfolio selection are also discussed by
considering alternative strategies. Our study is further extended to the cases
with jump risks in asset price and correlated volatility factors, respectively.
Numerical experiments are provided to demonstrate the behavior of the optimal
portfolio and utility loss
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