The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks

The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks

Yun Meng (Chang'an University, China), Yuan Dong (Chang'an University, China) and Song Shi (Chang'an University, China)
DOI: 10.4018/978-1-5225-1712-2.ch006

Abstract

Different with the traditional resource allocation problems, the consistency of resource occupation and the diversity of interference of participants in interference alignment (IA) clusters bring about the complexity in the combination of resource allocation and IA. Therefore, this chapter gives a transformed conflict graph-based solution framework which considers the low complexity of chordal graph, where the selection criteria of IA clusters are determined by the influence of IA on the resource occupation and the interference. The simulation results show that the proposed schemes can improve the network performance.
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The Background

Due to the significance of the joint interference management combing resource allocation and IA, there are many prior works have been studied. This section will introduce the related works from three parts, including the IA feasible constraint, the classification of interference network and the method of IA cluster formation.

The number of users is restricted by the IA feasible constraint. In MIMO network, let 978-1-5225-1712-2.ch006.m01 denote the K-user interference channel where the transmitter equipped with 978-1-5225-1712-2.ch006.m02 antennas, intend to send 978-1-5225-1712-2.ch006.m03 independent data streams, to the receiver equipped with 978-1-5225-1712-2.ch006.m04 antennas. According to the work of Jafar (2011), the interference channel setting above needs to satisfy the following condition:

978-1-5225-1712-2.ch006.m05
(1)

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