Toward Seamless Integration of Wireless LAN and Cellular Networks

作者: Henric Johnson , Lennart Isaksson , Markus Fiedler

DOI:

关键词:

摘要: Networked applications, no matter whether connected in a wired or wireless way, rely upon the ability of timely data delivery. The achievable throughput is quality measure for very task communication system, which to transport time. This particular importance nowadays trendy streaming applications such as digital TV, Internet Protocol (IP)-telephony, and gaming. Especially higher offered by 3G mobile systems (and beyond) compared earlier generations communications seems pave way into environments. In this report method described that makes decision between different technologies depending on criteria expectations stated end-user perceived within network itself. Multi-Criteria Decision Making (MCDM) together with Analytic Hierarchy Process (AHP) used achieve concept Always Best Connected (ABC). Two groups are used: benefits costs. Within benefit group three metrics Initial Delay (ID), Link Capacity (LC) Direction Loss (DL) analyzed before made. These weighted against each other. Finally case study presented, using AHP metrics.

参考文章(22)
Jacob Jacoby, Michael S. Matell, Three point Likert scales are good enough. Journal of Marketing Research. ,vol. 8, pp. 495- 500 ,(1971) , 10.2307/3150242
Thomas L. Saaty, How to make a decision: The analytic hierarchy process European Journal of Operational Research. ,vol. 48, pp. 9- 26 ,(1990) , 10.1016/0377-2217(90)90057-I
Lotfi A. Zadeh, Fuzzy sets Fuzzy sets, fuzzy logic, and fuzzy systems. pp. 394- ,(1996)
Thomas L. Saaty, Luis G. Vargas, The Logic of Priorities Springer Netherlands. ,(1982) , 10.1007/978-94-017-3383-0
Raj Jain, Arjan Durresi, Gojko Babic, Throughput fairness index : An explanation ATM Forum/99-0045. ,(1999)
Tiia Sutinen, Timo Ojala, Case Study in Assessing Subjective QoS of a Mobile Multimedia Web Service in a Real Multi-access Network Quality of Service – IWQoS 2005. pp. 298- 312 ,(2005) , 10.1007/11499169_24
Thomas Arthur Williams, David Ray Anderson, Dennis J. Sweeney, Quantitative Methods for Business ,(2013)