Spatial spectrum sensing for wireless handheld terminals: design challenges and novel solutions based on tunable parasitic antennas [Dynamic Spectrum Management]

This article addresses the major design challenges of antenna systems intended for cognitive transceivers under compactness constraints. The first part of the article provides an overview of the design challenges with regard to sensing over different frequencies and angular directions, referred to as spatial spectrum sensing. The second part describes a novel approach based on parasitic antenna theory aiming at making spatial spectrum sensing feasible for portable lightweight terminals. The idea is to replace the wideband antenna required for sensing over a large bandwidth by a tunable narrowband antenna for both sensing and communication purposes. The flexibility of the proposed antenna system lies in its capability to scan both the frequency and spatial resource dimensions simultaneously via a single RF chain within a miniaturized antenna system. This is done by properly tuning a set of reactive loads connected to a group of parasitic elements closely coupled to the driven (active) element. By doing so, the operational frequency subband leaps to another subband (frequency tuning). Moreover, at every subband, circular permutations of the reactive loads rotate the narrowband beam pattern to different angular positions, giving the cognitive transceiver the capability of sensing over various segments of the space.

[1]  Peter Hall,et al.  Reconfigurable Antennas for Cognitive Radio: Requirements and Potential Design Approaches , 2008 .

[2]  Peter Hall,et al.  Combined wideband and narrowband antennas for Cognitive Radio applications , 2008 .

[3]  Sarath D. Gunapala,et al.  Infrared Detectors Reach New Lengths , 1994 .

[4]  T.H. O'Donnell,et al.  Electrically small superdirective arrays using parasitic elements , 2006, 2006 IEEE Antennas and Propagation Society International Symposium.

[5]  N. Tanzi Varactor-tuned coupled resonator front-end bandpass filters for cognitive radio applications , 2006, 2006 IEEE Radio and Wireless Symposium.

[6]  Danijela Cabric,et al.  Cognitive radios: System design perspective , 2007 .

[7]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[8]  Constantinos B. Papadias,et al.  A universal encoding scheme for MIMO transmission using a single active element for PSK modulation schemes , 2009, IEEE Transactions on Wireless Communications.

[9]  Tobias Renk,et al.  A Cognitive Radio Receiver Supporting Wide-Band Sensing , 2008, ICC Workshops - 2008 IEEE International Conference on Communications Workshops.

[10]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[11]  T. Ohira,et al.  Fast beamforming of electronically steerable parasitic array radiator antennas: theory and experiment , 2004, IEEE Transactions on Antennas and Propagation.

[12]  Andrea J. Goldsmith,et al.  Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective , 2009, Proceedings of the IEEE.

[13]  H.A. Wheeler,et al.  Fundamental Limitations of Small Antennas , 1947, Proceedings of the IRE.

[14]  T. Ohira,et al.  Design of electronically steerable passive array radiator (ESPAR) antennas , 2000, IEEE Antennas and Propagation Society International Symposium. Transmitting Waves of Progress to the Next Millennium. 2000 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (C.