JOURNAL ARTICLE

Performance Analysis of Distributed Transmit Beamforming with Quantized Channel Feedback

Abstract

Distributed transmit beamforming (DTBF) is an efficient technique to increase the transmission coverage in a situation where distributed nodes have limited hardware capabilities such as transmit power or the number of equipped antennas. This scenario is quite typical in tactical communication systems. The DTBF precodes transmit signals based on feedback information. In practice, continuous channel phase information is quantized based on codebook to reduce feedback overhead. In this paper, we will analyze the effect of channel quantization in the DTBF and show a small number of bits are enough to encode channel feedback information to achieve comparable performance compared to the DTBF without channel quantization. We will also derive approximated probability density function of the received SNR, which is very useful to further derive the performance of the DTBF in terms of channel capacity, outage probability, and error rates

Keywords:
Codebook Beamforming Computer science Quantization (signal processing) Channel (broadcasting) Precoding Transmitter power output Overhead (engineering) Transmission (telecommunications) Channel capacity Probability density function Electronic engineering Transmitter MIMO Algorithm Computer network Telecommunications Mathematics Engineering Statistics

Metrics

3
Cited By
0.34
FWCI (Field Weighted Citation Impact)
9
Refs
0.60
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
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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