access icon free Joint energy-efficient resource allocation and interference alignment for HetNets

In the area of interference management, many works have used interference alignment (IA) to tackle interference in heterogeneous networks (HetNets). However, few work has been done from the energy-efficiency (EE) aspect. In this study, the authors address the joint EE resource allocation and IA problem for HetNets where several femtocells underlay within the coverage of a macrocell, and take into account the service requirements of macro cell user (MU). A mixed integer and non-convex optimisation framework is adopted to investigate the EE maximisation problem which is a multi-dimensional resource management problem. To solve the problem, the authors propose a user scheduling scheme to determine the transmission sequence as well as encoding and decoding matrices for each user. Then an iterative power control algorithm is proposed to optimise the EE of the networks. Simulation results validate the convergence and performance of proposed scheme.

Inspec keywords: femtocellular radio; telecommunication network management; radiofrequency interference; resource allocation; iterative methods; matrix algebra; integer programming; encoding; concave programming

Other keywords: interference management; nonconvex optimisation framework; encoding matrices; iterative power control algorithm; EE maximisation problem; joint energy-efficient resource allocation; heterogeneous networks; HetNet; femtocells; service requirements; mixed integer optimisation framework; transmission sequence; user scheduling scheme; interference alignment; multidimensional resource management problem; macro cell user; decoding matrices

Subjects: Optimisation techniques; Codes; Network management; Electromagnetic compatibility and interference; Interpolation and function approximation (numerical analysis); Mobile radio systems; Linear algebra (numerical analysis)

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2015.0668
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