DocumentCode :
713650
Title :
Spatial-correlations and load-awareness in heterogeneous networks
Author :
Shojaeifard, Arman ; Hamdi, Khairi Ashour ; Alsusa, Emad ; So, Daniel K. C. ; Jie Tang
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear :
2015
fDate :
9-12 March 2015
Firstpage :
111
Lastpage :
116
Abstract :
We present a new unified model for the design and analysis of load-aware downlink heterogeneous networks (HetNets) where interferers are inherently spatially-correlated. A closed-form expression for the aggregate network interference statistics generated by correlated load-proportional tiers of base stations (BSs) over Nakagami-m fading interfering channels is developed. This approach allows for relaxation of several major limitations in the existing state-of-the-art models, in particular the always-on-BSs, uncorrelated interferers, and Rayleigh fading with no shadowing assumptions. The validity and advantages of the proposed load-aware framework over the heavily-adopted fully-loaded model and the more recent interference-thinning-based approximation are confirmed via extensive Monte-Carlo (MC) simulations. The results reveal several important trends and design guidelines for the practical deployment of HetNets.
Keywords :
Monte Carlo methods; Nakagami channels; Rayleigh channels; approximation theory; correlation theory; interference suppression; HetNets; Monte Carlo method; Nakagami-m fading interfering channel; Rayleigh fading; base station; correlated load proportional tiers; interference thinning-based approximation; load aware downlink heterogeneous network; load awareness; network interference statistics; spatial correlation; uncorrelated interferer; Aggregates; Analytical models; Conferences; Fading; Interference; Load modeling; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/WCNC.2015.7127454
Filename :
7127454
Link To Document :
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