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Design, Modeling, and Performance Analysis of Multi-Antenna Heterogeneous Cellular Networks

Shojaeifard, A; Hamdi, KA; Alsusa, E; So, DKC; Tang, J; Wong, K-K; (2016) Design, Modeling, and Performance Analysis of Multi-Antenna Heterogeneous Cellular Networks. IEEE Transactions on Communications , 64 (7) pp. 3104-3118. 10.1109/TCOMM.2016.2572187. Green open access

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Abstract

This paper presents a stochastic geometry-based framework for the design and analysis of downlink multi-user multiple-input multiple-output (MIMO) heterogeneous cellular networks with linear zero-forcing transmit precoding and receive combining, assuming Rayleigh fading channels and perfect channel state information. The generalized tiers of base stations may differ in terms of their Poisson point process spatial density, number of transmit antennas, transmit power, artificial-biasing weight, and number of user equipments served per resource block. The spectral efficiency of a typical user equipped with multiple receive antennas is characterized using a non-direct moment-generating-function-based methodology with closed-form expressions of the useful received signal and aggregate network interference statistics systematically derived. In addition, the area spectral efficiency is formulated under different space-division multiple-access and single-user beamforming transmission schemes. We examine the impact of different cellular network deployments, propagation conditions, antenna configurations, and MIMO setups on the achievable performance through theoretical and simulation studies. Based on the state-of-the-art system parameters, the results highlight the inherent limitations of baseline single-input single-output transmission and conventional sparse macro-cell deployment, as well as the promising potential of multi-antenna communications and small-cell solution in interference-limited cellular environments.

Type: Article
Title: Design, Modeling, and Performance Analysis of Multi-Antenna Heterogeneous Cellular Networks
Event: IEEE 83rd Vehicular Technology Conference (VTC)
Location: Nanjing, PEOPLES R CHINA
Dates: May 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCOMM.2016.2572187
Publisher version: http://doi.org/10.1109/TCOMM.2016.2572187
Language: English
Additional information: Copyright © 2016 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission.
Keywords: stochastic geometry theory, Multi-antenna communications, downlink heterogeneous cellular networks
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1508158
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