Sedaghat MA, Bereyhi A, Müller R (2017)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2017
Publisher: IEEE
Conference Proceedings Title: A New Class of Nonlinear Precoders for Hardware Efficient Massive MIMO Systems
ISBN: 978-1-4673-8999-0
Open Access Link: https://arxiv.org/abs/1704.08469
A general class of nonlinear Least Square Error (LSE) precoders in multi-user multiple-input multiple-output systems is analyzed using the replica method from statistical mechanics. A single cell downlink channel with N transmit antennas at the base station and K single-antenna users is considered. The data symbols are assumed to be i.i.d. Gaussian and the precoded symbols on each transmit antenna are restricted to be chosen from a predefined set X. The set X encloses several well-known constraints in wireless communications including signals with peak power, constant envelope signals and finite constellations such as Phase Shift Keying (PSK). We determine the asymptotic distortion of the LSE precoder under both the Replica Symmetry (RS) and the one step Replica Symmetry Breaking (1-RSB) assumptions. For the case of peak power constraint on each transmit antenna, our analyses under the RS assumption show that the LSE precoder can reduce the peak to average power ratio to 3 dB without any significant performance loss. For PSK constellations, as N/K grows, the RS assumption fails to predict the performance accurately and therefore, investigations under the 1-RSB assumption are further considered. The results show that the 1-RSB assumption is more accurate.
APA:
Sedaghat, M.A., Bereyhi, A., & Müller, R. (2017). A new class of nonlinear precoders for hardware efficient massive MIMO systems. In A New Class of Nonlinear Precoders for Hardware Efficient Massive MIMO Systems. Paris, FR: IEEE.
MLA:
Sedaghat, Mohammad Ali, Ali Bereyhi, and Ralf Müller. "A new class of nonlinear precoders for hardware efficient massive MIMO systems." Proceedings of the International Conference on Communications, Paris IEEE, 2017.
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