Fast-Convergent Distributed Coordinated Precoding for TDD Multicell MIMO Systems

View Researcher II's Other Codes

Julia simulation environment for “Fast-Convergent Distributed Coordinated Precoding for TDD Multicell MIMO Systems”

Disclaimer: “The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).”

Please contact us in case of a broken link from here

Authors R. Brandt, M. Bengtsson
Journal/Conference Name IEEE Int. Workshop Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP'15)
Paper Category
Paper Abstract Several distributed coordinated precoding methods relying on over-the-air (OTA) iterations in time-division duplex (TDD) networks have recently been proposed. Each OTA iteration incurs overhead, which reduces the time available for data transmission. In this work, we therefore propose an algorithm which reaches good sum rate performance within just a few number of OTA iterations, partially due to non-overhead-incurring local iterations at the receivers. We formulate a scalarized multiobjective optimization problem where a linear combination of the weighted sum rate and the multiplexing gain is maximized. Using a well-known heuristic for smoothing the optimization problem together with a linearization step, the distributed algorithm is derived. When numerically compared to the state-of-the-art in a scenario with 1 to 3 OTA iterations allowed, the algorithm shows significant sum rate gains at high signal-to-noise ratios.
Date of publication 2015
Code Programming Language Julia
Comment

Copyright Researcher II 2021