Asaad S, Bereyhi A, Müller R, Rabiei AM (2017)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2017
Publisher: IEEE
Conference Proceedings Title: Proceedings of IEEE International Conference on Communications (ICC)
ISBN: 978-1-4673-8999-0
Open Access Link: https://arxiv.org/abs/1704.08473
Consider a fading Gaussian MIMO channel with Nt transmit and Nr receive antennas. The transmitter selects Lt antennas corresponding to the strongest channels. For this setup, we study the distribution of the input-output mutual information when Nt grows large. We show that, for any Nr and Lt, the distribution of the input-output mutual information is accurately approximated by a Gaussian distribution whose mean grows large and whose variance converges to zero. Our analysis depicts that, in the large limit, the gap between the expectation of the mutual information and its corresponding upper bound, derived by applying Jensen's inequality, converges to a constant which only depends on Nr and Lt. The result extends the scope of channel hardening to the general case of antenna selection with multiple receive and selected transmit antennas. Although the analyses are given for the large-system limit, our numerical investigations indicate the robustness of the approximated distribution even when the number of antennas is not large.
APA:
Asaad, S., Bereyhi, A., Müller, R., & Rabiei, A.M. (2017). Asymptotics of transmit antenna selection: Impact of multiple receive antennas. In Proceedings of IEEE International Conference on Communications (ICC). Paris, FR: IEEE.
MLA:
Asaad, Saba, et al. "Asymptotics of transmit antenna selection: Impact of multiple receive antennas." Proceedings of the IEEE International Conference on Communications (ICC), Paris IEEE, 2017.
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