Hybrid analog-digital transceiver designs for cognitive radio millimiter wave systems

Recent advances in Milimeter wave (mmWave) band mobile communications may provide solutions to the increasing traffic demand in modern wireless systems. Even though mmWave bands are scarcely occupied, the design of a prospect transceiver should guarantee the efficient coexistence with the incumbent...

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Bibliographic Details
Published in:2016 50th Asilomar Conference on Signals, Systems and Computers pp. 1785 - 1789
Main Authors: Tsinos, Christos G., Maleki, Sina, Chatzinotas, Symeon, Ottersten, Bjorn
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2016
Subjects:
Hardware
Interference
Radio frequency
Receivers
Transceivers
Transmitters
Zinc
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Summary:Recent advances in Milimeter wave (mmWave) band mobile communications may provide solutions to the increasing traffic demand in modern wireless systems. Even though mmWave bands are scarcely occupied, the design of a prospect transceiver should guarantee the efficient coexistence with the incumbent services in these bands. To that end, in this paper, two underlay cognitive transceiver designs are proposed based on a hybrid Analog/Digital transceiver architecture that enables the mmWave spectrum access while controlling the interference to the incumbent users with low hardware complexity and power consumption. The first cognitive solution designs a codebook free cognitive hybrid pre-coder by maximizing the mutual information between its two ends subject to interference, power and hardware constraints related to the analog counterpart. The second solution is codebook based and exhibits less complexity than the first one at the cost of inferior spectral efficiency. A novel codebook free solution for the post-coder at the cognitive receiver part is further proposed, based on a hardware constrained Minimum Mean Square Error criterion. Simulations study the performance of both the proposed hybrid approaches and compare it to the one of a fully digital solution for typical wireless environments.
DOI:10.1109/ACSSC.2016.7869690