JOURNAL ARTICLE

Downlink beamforming in multi-antenna two-tier networks with user selection

Abstract

We consider a two-tier cellular network with universal frequency reuse, consisting of a macrocell overlaid with shorter range, low power multi-antenna base stations. Each transmitter selects a set of users among all active users in its cell and serves them using multiuser linear preceding. The effect of user selection in throughput and spatial reuse is investigated and analytical expressions and bounds for the success probability, area spectral efficiency, and average user rate are derived. Our results indicate that downlink multiuser transmission shows throughput gains at both tiers as compared to single-user communications, if combined with scheduling, while the optimal number of served users per cell depends on different network parameters such as pathloss exponent, interférer density, and outage constraints. A multi-mode switching strategy, which instantaneously adapts the number of served users, is then proposed. Furthermore, we provide insights on efficient user selection metrics. Both analytical and numerical results show that zero-forcing preceding may increase coverage and spatial reuse by reducing both intra-tier and cross-tier interference through user scheduling.

Keywords:
Macrocell Computer science Telecommunications link Beamforming Scheduling (production processes) Base station Computer network Spectral efficiency Cellular network Frequency reuse Reuse Throughput Transmitter power output Transmitter Real-time computing Telecommunications Mathematical optimization Engineering Wireless Mathematics

Metrics

3
Cited By
0.47
FWCI (Field Weighted Citation Impact)
17
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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