Conference paper Open Access

Interference Management Enablers for 5G Radio Access Networks

Pateromichelakis, Emmanouil; Celik, Haris; Fantini, Roberto; Bulakci, Ömer; Campoy, Luis M.; Gutierrez-Estevez, D. M.; Ibrahim, Ahmed; Lorca, Javier; Shariat, Mehrdad; Tesanovic, Milos; Yang, Yang

Inter-cell interference can be seen as a huge challenge towards meeting the high capacity and coverage targets, as envisioned in 5G era. To this end, factors like the expected high density of access nodes reusing the same spectrum, the diverse sources of interference from heterogeneous access technologies, flexible wireless backhauling and the consideration of multiple 5G services with different KPIs can have strong impact on the way interference management is handled. This paper discusses three key interference management drivers, as good candidates for service-tailored optimization, which aim improving users’ performance in terms of cell-edge throughput, provide energy-efficiency aware resource management and minimize the signalling overhead using BS clustering and context-awareness.

(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Files (877.8 kB)
Name Size
CSCN- IM_METIS II_WP5_v1.pdf
md5:7c3d64ab48419dd18652ca1100f72dc6
877.8 kB Download
0
0
views
downloads
All versions This version
Views 00
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 00
Unique downloads 00

Share

Cite as