Quadrature Spatial Modulation in MIMO Cognitive Radio Systems With Imperfect Channel Estimation and Limited Feedback

This paper studies the recent novel multiple-input multiple-output transmission technique called quadrature spatial modulation (QSM), in underlay cognitive radio (CR) systems. In particular, a multi-antenna secondary transmitter (ST) communicates with a multi-antenna secondary receiver (SR) in the p...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on communications 2017-03, Vol.65 (3), p.981-991
Main Authors: Afana, Ali, Abu Mahady, Islam, Ikki, Salama
Format: Article
Language:English
Subjects:
Antennas
Bit error rate
Channel estimation
Codes
Cognitive radio
Computer simulation
Estimation error
MIMO
MIMO (control systems)
MIMO networks
Modulation
Power management
quadrature spatial modulation
Receivers & amplifiers
Receiving antennas
Robustness (mathematics)
spectrum-sharing
Statistical analysis
system performance
Transmitting antennas
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:This paper studies the recent novel multiple-input multiple-output transmission technique called quadrature spatial modulation (QSM), in underlay cognitive radio (CR) systems. In particular, a multi-antenna secondary transmitter (ST) communicates with a multi-antenna secondary receiver (SR) in the presence of a primary receiver (PR). Considering only the statistical knowledge of the ST-PR channel gain, the QSM-CR scheme is investigated using a mean value (MV)-based power allocation strategy referred to as MV-based scheme. Furthermore, assuming that the ST-PR channel gain is perfectly known, the QSM-CR scheme is investigated using a power allocation method based on instantaneous channel state information (CSI), referred to as CSI-based scheme. In each scheme, considering imperfect ST-SR channel estimation, we study the secondary system performance, where closed-form expressions for the average pairwise error probability (P̅E̅P̅) are derived over Rayleigh fading channels. A tight upper bounded average bit error rate is obtained using the derived P̅E̅P̅ expression. Moreover, simple approximate expressions are obtained to get insights on the system diversity and channel estimation errors' effects. Numerical results, which match with simulations, illustrate the robustness of QSM in enhancing the overall system performance in the presence of estimation errors.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2016.2636289