Design of a Web-Based Decision Support System for Service Portfolios in Heterogeneous Radio Access Network Environments

  • Authors:
  • Jae-Hoon Kim;Jung-Gyo Sohn;Mira Yun;Ga-Young Oh;Hyeong-In Choi;Hyeong-Ah Choi

  • Affiliations:
  • Department of Industrial and Information Systems Engineering, Ajou University, Yeongtong-gu, Suwon, Korea 443-749;Department of Mathematics, Seoul National University, Seoul, South Korea;Department of Computer Science, George Washington University, Washington, USA;Department of Access Network Operations, SK Telecom, Seoul, South Korea;Department of Mathematics, Seoul National University, Seoul, South Korea;Department of Computer Science, George Washington University, Washington, USA

  • Venue:
  • Journal of Network and Systems Management
  • Year:
  • 2013

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Abstract

Newly emerging radio access technologies have produced a novel heterogeneous network environment. Wireless service operators should build the best service portfolio strategy for each user by focusing on the co-existence of multiple access networks and complex service combinations, while maximizing the overall network utilization. Web-based Decision Support System (web-based DSS) is one of the best ways of making service portfolios available to every user in a multiple access network environment. Service designers, customer relationship managers, and network engineers can build the best match relationship between services and networks to enhance user utilization. In addition, the easily accessible web-based DSS in an optimal heterogeneous network operation framework provides opportunities for designing new services. The network load and financial effect of newly designed services could also be analyzed and reshaped easily by testing the DSS functionality. Various mathematical tools have been developed for DSS to integrate different network domains. To demonstrate its applicability to the integration of network domains, we tested various service scenarios in a heterogeneous network environment and evaluated the versatile functions of web-based DSS.