Sum-Rate Performance of Millimeter Wave MIMO Shared Spectrum Systems
Abhishek Agrahari, Aditya K. Jagannatham

TL;DR
This paper analyzes the impact of interference management on the sum-rate performance of mmWave MIMO spectrum sharing systems, proposing RF precoding and baseband interference cancellation techniques to enhance system capacity.
Contribution
It introduces a novel power allocation strategy for mmWave MIMO cognitive systems and demonstrates performance improvements over digital-only systems.
Findings
Interference can be effectively canceled using baseband block diagonalization.
Optimal power allocation enhances sum-rate performance.
Numerical results validate the proposed methods' superiority.
Abstract
This paper study the effect of interference management arising due to millimeter wave (mmWave) communication on the performance of multiple input multiple output (MIMO) based spectrum sharing cognitive systems. The highly directed mmWave signals have short wavelength property which enables to fabricate an increased number of antennas in a small confined space of the communication system. The large antenna elements are utilized to harvest high beamforming gains and to improve the signal to noise ratio (SNR) by analog processing at the cognitive base station (CBS) and secondary users. Analog processing at the CBS and at secondary user have hardware and computation restrictions. These restrictions are solved by designing radio frequency (RF) precoding and RF combining. In the digital domain, it is shown that interference between secondary users can be canceled by baseband block…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Cooperative Communication and Network Coding
