Energy-Efficient Resource Allocation in Multi-cell Virtualized Wireless Networks.pdf (104.06 kB)
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Energy-efficient resource allocation in multi-cell virtualized wireless networks

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conference contribution
posted on 24.05.2016, 11:52 by Rajesh Dawadi, Saeedeh Parsaeefard, Mahsa DerakhshaniMahsa Derakhshani, Tho Le-Ngoc
This paper considers the down-link transmission of an OFDMA-based multi-cell virtualized wireless network (VWN) to serve users belonging to ifferent service providers (slices) with the quality-of-service (QoS) requirements in terms of each slice's minimum reserved rate. In order to improve energy efficiency, we formulate a joint base station (BS) assignment, sub-carrier and power allocation problem to minimize the total transmit power of all the BSs subject to the QoS constraints. This problem is inherently a non-convex optimization problem. To tackle its computational complexity, we apply successive convex approximation (SCA) and complementary geometric programming (CGP) to convert the problem into a computationally efficient formulation and propose an iterative algorithm for solving the problem. We introduce a variable called user association factor (UAF) for jointly assigning users to both BSs and sub-carriers. Simulation results illustrate the performance enhancement of the VWN achieved through our formulation for different network scenarios.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2015 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2015

Citation

DAWADI, R. ... et al., 2015. Energy-efficient resource allocation in multi-cell virtualized wireless networks. IN: Proceedings of 2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB 2015), Montreal, Canada, 4-7 October 2015, DOI: 10.1109/ICUWB.2015.7324446.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publication date

2015

Notes

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781467365550

ISSN

2162-6588