基于成本模型的云服务定价体系研究

本文基于业务的成本模型,分析各维度的价值贡献,给出了云产品的定价方法,逐步探索形成云服务定价体系,为广电网络运营商在云计算服务运营方面提供了参考。     

产品定价中软件费用的测算

从计算机软件费用的成本、计价依据入手，详细地论征了产品定价中软件费用的三种测算方法。     

浅析双垄断模式下的专项军品定价

中国军队现行重点装备即专项军品的采购模式主要体现为双垄断模式,专项军品采购方为军方,供应方为一些国有大中型企事业单位,事实上形成无论采购方还是供应方都是垄断状态,也就是双垄断模式。正因为这种双垄断模式,专项军品市场往往不是按照市场规律运转,专项军品的定价也就显得很不合理。文中主要分析双垄断模式的具体特征、双方的利益关系、影响专项军品定价的因素,以及如何针对这些特征和因素采取适当的定价策略。     

3G时代的合理定价模式

与2G时代话音为王相比,3G 将由数据业务来主宰的观点得到了人们的普遍赞同。在2．5G时代,根据业务的一些特点,数据业务主要有免费、按次、包月等定价模式,相对来说比较单一。进入3G时代,数据业务将会不断涌现,业务功能也将更加灵活和复杂,合理的定价模式将有助于3G数据业务的迅速发展,也将为运营商带来更大的收益。     

铁塔公司定价方法研究

企业产品定价方法包括市场定价法、政府定价法和成本加成法等,文章根据各种定价方法的适用条件,结合中国铁塔股份有限公司目前的业务发展情况,以成本加成法为基础,通过分析阐述各类成本以及关键参数的设定依据,搭建定价模型,从而为铁塔租金提供科学合理的定价依据.     

IPTV应突破传统定价模式

面对IPTV这样全新的电信服务业务,运营商应打破传统的定价模式和市场推广方式,站在整个产业链和消费者的角度上,为IPTV谋求发展。     

新的具有定价的测量方案

测量方案是由Naor和Pinkas系统引入的,在该方案中每一个服务器能对审计代理证明它至少接收了一定数量的顾客访问,B. Masucci和D. R. Stinson提出了定价的测量方案,并给出该方案的一种构造方法。本文研究定价的测量方案,基于RS码提出一种新的有效的具有定价的测量方案,研究了它的特性,同时基于离散对数问题,提出了可多次使用的一种新的定价的测量方案。     

一种基于PMP定价策略的数学模型及性能分析

基于巴黎地铁定价策略，提出了一种把网络划分为不同的逻辑子网的定价模型，分组进入子网依赖与网络时延和子网的价格，此外，在约束条件下分析了模型解的存在，以及运营商利润的最大化，最后通过数值结果验证了模型的有效和正确性。     

New Paradigms in Wireless Communication Systems

This paper discusses what a new paradigm can be in wireless communication systems of the twenty-first century. First, it suggests two directions for the new paradigm; one is “micro- and nano-device communication system” which is the projected scenario considering that the entities in source and destination have been shrinking throughout the history of wireless communication systems. The second direction is “networked robot system”, which emerges as a natural extension of mobile ad hoc networking where the networking is closely related to motion control of robots. Secondly, it shows two interesting research topics, “the new communication protocol design” and “signal processing”, respectively, that arise in the wake of the fusion between the two directions in the novel communication paradigm. Finally, it considers a new science of wireless communications in the twenty-first century. Shinsuke Hara received the B.Eng., M.Eng. and Ph.D. degrees in communications engineering from Osaka University, Osaka, Japan, in 1985, 1987 and 1990, respectively. From April 1990 to March 1997, he was an assistant professor in the Department of Communication Engineering, School of Engineering, Osaka University, and from October 1997 to September 2005, he was an associate professor in the Department of Electronic, Information and Energy Engineering, Graduate School of Engineering, Osaka University. Since October 2005, he has been a professor in the Department of Physical Electronics and Informatics, Graduate School of Engineering, Osaka City University. In addition, from April 1995 to March 1996, he was a visiting scientist at Telecommunications and Traffic Control Systems Group, Delft University of Technology, Delft, The Netherlands. His research interests include wireless communications systems and digital signal processing. Hiroyuki Yomo received B.S. degree in communication engineering from Department of Communication Engineering, Osaka University, Osaka, Japan, in 1997, and M.S. and Ph.D. degrees in communication engineering from Department of Electronic, Information, and Energy Engineering, Graduate School of Engineering, Osaka University, Osaka Japan, in 1999 and 2002, respectively. From April 2002 to March 2004, he was a Post-doctoral Fellow in Department of Communication Technology, Aalborg University, Denmark. From April 2004 to September 2004, he was at Internet System Laboratory, NEC Corporation, Japan. Since October 2004, he has been an Assistant Research Professor in Center for TeleInfrastructure (CTIF), Aalborg University, Denmark. His main research interests are access technologies, radio resource management, and link-layer techniques in the area of short-range communication, cellular network, cognitive radio, and sensor network. Petar Popovski received the Dipl.-Ing. in electrical engineering and M.Sc. in communication engineering from the Faculty of Electrical Engineering, Sts. Cyril and Methodius University, Skopje, Republic of Macedonia, in 1997 and 2000, respectively. He received a Ph.D. degree from Aalborg University, Denmark, in 2004. From 1998 to 2001 he was a teaching and research assistant at the Institute of Telecommunications, Faculty of Electrical Engineering in Skopje. He is currently Assistant Professor at the Department of Communication Technology at the Aalborg University. His research interests are related to the PHY-MAC aspects of wireless protocols, wireless sensor networks, random access protocols, and network coding. Kazunori Hayashi received the B.E., M.E. and Ph.D. degrees in communication engineering from Osaka University, Osaka, Japan, in 1997, 1999 and 2002, respectively. He spent 3 months in 2000 at Aalborg University, Denmark, as a Visiting Scholar. Since 2002, he has been with the Department of Systems Science, Graduate School of Informatics, Kyoto University. He is currently an Assistant Professor there. His research interests include digital signal processing for communications systems.     

Introduction to Special Issue on New Paradigms in Intelligent Spectrum Management

International Journal of Wireless Information Networks -     

A New Theoretical Model for Pricing Telecommunications Services

The main methods of pricing telecommunications services can be summarized in two kinds:one is based on average cost, the other, on marginal cost. In order to combine the advantages of these two methods and overcome their disadvantages, this paper proposes a new theoretical model for pricing telecommunications services, the so-called comprehensive evaluation model, to evaluate the pricing methods.     

A New Theoretical Model for Pricing Telecommunications Services

1 IntroductionThe tariff of telecommunications services is a link between the government, enterprises and customers. The government will use tariff regulation as a principal method to macro-control telecommunication enterprises. The enterprises use tariff…     

Survey of Deep Learning Paradigms for Speech Processing

Wireless Personal Communications - Spam detection in emails tends to be an endless research interest among many researchers and academicians. Even though email communication has become a major role...     

Pricing and incentives

The structure of electric rates is increasingly being used as a demand-side tool by U.S. electric utilities. Over the past decade, more than half of the larger utilities have implemented either rates which vary by time-of-day, or where discounts are given to customers who reduce loads upon request. Many other new rate forms are being employed as well, primarily to reflect the changing structure of costs seen by utilities today.     

Precoding and Decoding Paradigms for Distributed Vector Data Compression

In this paper, we consider the problem of lossy coding of correlated vector sources with uncoded side information available at the decoder. In particular, we consider lossy coding of vector source xisinR^N which is correlated with vector source yisinR^N, known at the decoder. We propose two compression schemes, namely, distributed adaptive compression (DAC) and distributed universal compression (DUC) schemes. The DAC algorithm is inspired by the optimal solution for Gaussian sources and requires computation of the conditional Karhunen-Loegraveve transform (CKLT) of the data at the encoder. The DUC algorithm, however, does not require knowledge of the CKLT at the encoder. The DUC algorithms are based on the approximation of the correlation model between the sources y and x through a linear model y=Hx+n in which H is a matrix and n is a random vector and independent of x. This model can be viewed as a fictitious communication channel with input x and output y. Utilizing channel equalization at the receiver, we convert the original vector source coding problem into a set of manageable scalar source coding problems. Furthermore, inspired by bit loading strategies employed in wireless communication systems, we propose for both compression schemes a rate allocation policy which minimizes the decoding error rate under a total rate constraint. Equalization and bit loading are paired with a quantization scheme for each vector source entry (a slightly simplified version of the so called DISCUS scheme). The merits of our work are as follows: 1) it provides a simple, yet optimized, implementation of Wyner-Ziv quantizers for correlated vector sources, by using the insight gained in the design of communication systems; 2) it provides encoding schemes that, with or without the knowledge of the correlation model at the encoder, enjoy distributed compression gains