Title :
Small-Cell Self-Organizing Wireless Networks
Author :
Fehske, Albrecht J. ; Viering, Ingo ; Voigt, Jens ; Sartori, Claudio ; Redana, Simone ; Fettweis, Gerhard P.
Author_Institution :
Electr. Eng. Dept., Tech. Univ. of Dresden, Dresden, Germany
Abstract :
Increasing the spatial reuse of frequency spectrum by deploying more access points has historically been the most effective means to improve the capacity of any cellular communication network. Today´s mobile networks face a proliferation of data services and overall demand for data traffic that has been strongly increasing over several years. As a result, increasing network capacity through the deployment of small lower power nodes is of key importance for mobile network operators. Although such small access points are conceptually equivalent to conventional cellular base stations in many ways, the expected large number of small cells as well as their much more dynamic unplanned deployment raise a variety of challenges in the area of network management. This paper discusses such challenges and reviews state-of-the-art modeling as well as selected network management techniques.
Keywords :
Long Term Evolution; frequency allocation; Long-Term Evolution; cellular communication network; data traffic; frequency spectrum; mobile network operators; mobility load balancing; network management techniques; small-cell self-organizing wireless networks; Interference; Macrocell networks; Quality of service; Radio frequency; Radio spectrum management; Resource management; Signal to noise ratio; Wireless networks; Capacity and coverage optimization; closed-loop optimization; energy saving management; interference modeling; long-term evolution (LTE); mobility load balancing; self-optimization; self-organizing network (SON); small cells; system modeling; wireless network planning and optimization;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2014.2301595