Optimal Beamforming and Power Allocation for Cognitive Femto Base Stations Based on Soft Decision

In this paper, an optimal beamforming and power allocation for the sensing-based spectrum sharing (SBSS) that employs a soft decision on the state of the primary user is proposed. Different from the existing soft-decision-based SBSS that employs a single antenna and adjusts only transmit power, in t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal on selected areas in communications 2015-05, Vol.33 (5), p.878-895
Main Authors: Park, Hyunsung, Hwang, Taewon
Format: Article
Language:English
Subjects:
Array signal processing
beamforming
cognitive femto BS
Cognitive radio (CR)
Interference
Resource management
sensing-based spectrum sharing
Sensors
soft decision
Throughput
Transmitting antennas
Vectors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, an optimal beamforming and power allocation for the sensing-based spectrum sharing (SBSS) that employs a soft decision on the state of the primary user is proposed. Different from the existing soft-decision-based SBSS that employs a single antenna and adjusts only transmit power, in the proposed scheme, the secondary transmitter employs multiple transmit antennas and controls the beamforming direction and the transmit power. We design the optimal beamforming and power allocation under the constraints of total transmit power and interference power, where both average and instantaneous power constraints are considered. Simulation results demonstrate that the proposed technique can significantly improve the average throughput of the secondary user compared with the existing methods. The proposed beamforming for the soft-decision-based SBSS is a promising scheme, particularly for cognitive femto base stations (BSs) to boost up the spectral efficiency while managing the interference to the macro BSs.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2014.2361082