JOURNAL ARTICLE

Efficient resource allocation for wireless virtualization using time-space division

Abstract

Network virtualization provides an alternative for wireless testbed to support multiple experiments simultaneously, as its properties of isolation, customization and efficiency are able to improve network resources utilization significantly. However, complex radio environment makes the employment of virtualization in wireless networks become a difficult problem, in which strict isolation across different experiments is hard to maintain. What is more, present radio experimental systems mostly exploit only Time Division Multiplexing, which may cause resources waste when the scale of experiments is relatively small. In this paper, we propose a time-space combined resources allocation scheme by taking advantage of both Time Division Multiplexing and Space Division Multiplexing. In this scheme, we first select a new time slot and some unscheduled experiments. Then we adopt Space Division Multiplexing to fit in as many experiments as possible in a time slot while ensuring required isolation across them. Extensive simulation shows that our scheme improves experimental resources utilization effectively, while each experiment in the same time slot have enough bandwidth among all nodes and the fairness of resources utility is also ensured.

Keywords:
Computer science Testbed Statistical time division multiplexing Computer network Virtualization Resource allocation Wireless Wireless network Multiplexing Bandwidth (computing) Distributed computing Isolation (microbiology) Telecommunications Cloud computing

Metrics

16
Cited By
1.90
FWCI (Field Weighted Citation Impact)
19
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software-Defined Networks and 5G
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Networks and Protocols
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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