Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays

Uncoordinated pilot decontamination in massive MIMO systems

This work concerns wireless cellular networks applying time division duplexing (TDD) massive multiple-input multiple-output (MIMO) technology. Such systems suffer from pilot contamination during channel estimation, due to the shortage of orthogonal pilot sequences. This paper presents a solution based on pilot sequence hopping, which provides a randomization of the pilot contamination. It is sh...

MIMO Precoding for Decentralized Receivers

This paper extends the results of [3] and presents a modified version of Tomlinson-Harashima type precoding applicable to a setting with decentralized receivers, e.g., in a DS-CDMA downlink scenario. Precoding, i.e., nonlinear pre-equalization, is an interesting strategy for significantly simplifying signal processing at the receiver side (mobile terminals) at only moderate additional complexit...

conjugacy in relatively extra-large artin groups

in this work we consider conjugacy of elements and parabolic subgroups‎ ‎in details‎, ‎in a new class of artin groups‎, ‎introduced in an earlier work‎, ‎which may contain arbitrary parabolic subgroups‎. ‎in particular‎, ‎we find‎ ‎algorithmically minimal representatives of elements in a conjugacy class‎ ‎and also an algorithm to pass from one minimal representative to the others‎.

Subarray Based Multiuser Massive MIMO Design Adopting Large Transmit and Receive Arrays

This paper describes a subarray based low computational design method of multiuser massive multiple input multiple output (MIMO) system. In our previous works, use of large array is assumed only in transmitter, but this study considers the case both of transmitter and receiver sides are equipped with large array antennas. For this aim, receive arrays are also divided into several subarrays, and...

Decentralized Interaction Estimators in Large Scale Power Systems with Neural Networks.