Beam Selection and Discrete Power Allocation in Opportunistic Cognitive Radio Systems with Limited Feedback Using ESPAR Antennas
Hassan Yazdani, Azadeh Vosoughi, Xun Gong

TL;DR
This paper presents a framework for beam selection and power allocation in cognitive radio systems using ESPAR antennas, optimizing capacity under constraints with limited feedback.
Contribution
It introduces a holistic, integrated approach for sector-based spectrum sensing and communication, along with a computationally efficient algorithm for non-convex optimization.
Findings
Capacity is significantly improved with ESPAR antennas.
The proposed system achieves lower outage probabilities.
Symbol error rates are reduced compared to omni-directional antennas.
Abstract
We consider an opportunistic cognitive radio (CR) system consisting of a primary user (PU), secondary transmitter (SUtx), and secondary receiver (SUrx), where SUtx is equipped with an electrically steerable parasitic array radiator (ESPAR) antenna with beam steering capability for sensing and communication, and there is a limited feedback channel from SUrx to SUtx. Taking a holistic approach, we develop a framework for integrated sector-based spectrum sensing and sector-based data communication. Upon sensing the channel busy, SUtx determines the beam corresponding to PU's orientation. Upon sensing the channel idle, SUtx transmits data to SUrx, using the selected beam corresponding to the strongest channel between SUtx and SUrx. We formulate a constrained optimization problem, where SUtx-SUrx link ergodic capacity is maximized, subject to average transmit power and interference…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Wireless Communication Security Techniques
