Title :
In-band, point to multi-point, mm-Wave backhaul for 5G networks
Author :
Taori, Rakesh ; Sridharan, Arun
Author_Institution :
Wireless Commun. Lab., Samsung Res. America - Dallas, Richardson, TX, USA
Abstract :
Innovations for cost-effective and scalable wireless backhaul solutions in practical mobile network deployment scenarios are essential for realizing the 5G vision of providing “Gbit/s anywhere”. Not only is the backhaul essential to support network densification based on small cell deployments, but also for supporting very low latency inter-BS communication to combat inter-cell interference. Multiplexing backhaul and access on the same frequency band (in-band wireless backhaul) has obvious cost benefits from hardware and frequency reuse perspective, but poses significant technology challenges. We consider an inband solution to meet the backhaul and inter-BS coordination challenges that accompany network densification. In this paper, we present an analysis to persuade the readers of the feasibility of in-band wireless backhaul, discuss realistic deployment and system assumptions and present novel scheduling schemes for inter-BS communications. We show that an in-band wireless backhaul for data backhauling and inter BS-coordination is feasible without significantly hurting the cell access capacities.
Keywords :
cellular radio; radio links; radiofrequency interference; 5G networks; backhaul multiplexing; data backhauling; frequency reuse perspective; hardware reuse perspective; in-band wireless backhaul; interBS coordination; intercell interference; mm-wave backhaul; mobile network deployment scenarios; network densification; point to multipoint backhaul; scalable wireless backhaul solutions; scheduling schemes; small cell deployments; very low latency interBS communication; Artificial intelligence; Channel models; Wireless communication;
Conference_Titel :
Communications Workshops (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICCW.2014.6881179