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Fast Inference for Situational Awareness in 5G Millimeter Wave Massive MIMO Systems | IEEE Conference Publication | IEEE Xplore

Fast Inference for Situational Awareness in 5G Millimeter Wave Massive MIMO Systems


Abstract:

Situational awareness in wireless networks refers to the availability of information on node locations and their environments. Fifth generation millimeter wave multiple-i...Show More

Abstract:

Situational awareness in wireless networks refers to the availability of information on node locations and their environments. Fifth generation millimeter wave multiple-input multiple-output communication systems have the potential to jointly estimate the position, orientation, and clock offset of user equipments together with the positions of reflecting or scattering objects in their propagation environments. However, even in a static setting, the corresponding maximum a posteriori estimation problem is nonlinear and non-convex, and thus very difficult to solve in moderate computation time. We present an augmented version of the optimization problem underlying maximum a posteriori estimation, where geometric constraints are introduced to limit the size of the search space considerably. The constrained problem is then solved using a conventional interior point optimization method. Numerical results show that our approach has a very low computational complexity and that it can typically reach the Cramer-Rao lower bound.
Date of Conference: 02-05 July 2019
Date Added to IEEE Xplore: 29 August 2019
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Conference Location: Cannes, France

References

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