Energy-Efficient Subcarrier Allocation and Power Control in Wireless Virtualization Networks
06 February 2017
Optimization of joint subcarrier and power allocation is fundamental to implement orthogonal frequency division multiple access (OFDMA). While energy efficiency (EE) is a critical issue for OFDMA systems, the appropriate energy efficient design to enable emerging virtualization in wireless OFDMA networks remains open. In this paper, we focus on energy efficient subcarrier and power allocation in wireless virtualization networks. To minimize power consumption and to maximize data rate, such resource allocation can be modeled as a non-convex optimization of EE. Exploiting the non-convex fractional programming, we reformulate into a subtractive form as the equivalent optimization. We therefore obtain the iterative algorithm to achieve the optimality. In particular, subcarrier allocation, power allocation, and operator selection in each iteration can be derived by the Lagrange dual decomposition method. Simulations verify that the algorithms can significantly enhance EE in wireless virtual network architecture.
