On Spatial Domain Cognitive Radio Using Single-Radio Parasitic Antenna Arrays

2013 ◽  
Vol 31 (3) ◽  
pp. 571-580 ◽  
Author(s):  
D. Wilcox ◽  
E. Tsakalaki ◽  
A. Kortun ◽  
T. Ratnarajah ◽  
C. B. Papadias ◽  
...  
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Bo Han ◽  
Vlasis I. Barousis ◽  
Antonis Kalis ◽  
Constantinos B. Papadias ◽  
Athanasios G. Kanatas ◽  
...  

Recently, a novel MIMO transmitter architecture has been introduced that requires only a single radio-frequency (RF) chain and is built on parasitic antenna arrays. MIMO transmission in this case is achieved by shaping directly the radiation pattern with the aid of analog tunable loads attached to the parasitics. As it has been shown, such a single RF MIMO system can support all PSK modulation formats with purely imaginary loading values. This paper extends its capabilities and proposes a novel architecture for parasitic antennas that is able to providecomplexloading values, even with a negative real part. Definitely, this will extend the flexibility of parasitic antennas to multiplex successfully over the air more complex signaling formats, for example, QAM signals. The bit error rate evaluation shows that the proposed architecture could be very promising in emerging devices and also illustrates its robustness under possible loading perturbations that might have been raised due to nonidealities in the design.


2019 ◽  
Vol 8 (4) ◽  
pp. 9865-9868

With rapid proliferation of radio technology, discontinuous spectrum aggregation and access in a single radio has become conceivable. When the bandwidth of the spectrum fragment is narrow, then spectrum aggregation can be utilized to bundle multiple small fragments in one radio. This can positively improve the efficiency of the spectrum utilization. Though, aggregation of fragmented segments leads to improved spectrum utilization it results in further spectrum fragmentation leading to practical hardware constraints. As a solution, we use the popular memory allocation techniques to perform spectrum aggregation so that further fragmentation can be reduced. We derive at an efficient Spectrum Aggregation Algorithm based on Memory Allocation techniques.


Author(s):  
Ezio Biglieri ◽  
Andrea J. Goldsmith ◽  
Larry J. Greenstein ◽  
Narayan Mandayam ◽  
H. Vincent Poor
Keyword(s):  

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