Title :
Energy management of dense wireless heterogeneous networks over slow timescales
Author :
Binnan Zhuang ; Dongning Guo ; Honig, Michael L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
Future cellular networks are expected to be heterogeneous with dense deployments of base transceiver stations and access points (wireless nodes). Energy consumption and interference management are two major issues in such networks. The goal of this work is to develop a framework for deciding if particular nodes should be powered off to reduce interference and save energy. This is envisioned to occur over slow time-scales, i.e., on the order of minutes. The active nodes should provide a target quality of service (QoS) to all mobile users. A network utility maximization problem is formulated, which takes as input the network topology and aggregate demand information, and optimizes over the set of active nodes and the assignment of demands to the nodes. Centralized and distributed algorithms are presented that search for a local optimum, and numerical results are presented to illustrate the performance.
Keywords :
cellular radio; interference suppression; optimisation; quality of service; radio transceivers; telecommunication network topology; access points; active nodes; aggregate demand information; base transceiver stations; cellular networks; dense wireless heterogeneous networks; energy management; interference management; interference reduction; network topology; network utility maximization; quality of service; slow timescales; wireless nodes; Distributed algorithms; Interference; Load modeling; Mobile communication; Optimization; Quality of service; Signal to noise ratio;
Conference_Titel :
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4673-4537-8
DOI :
10.1109/Allerton.2012.6483195