A Robust Approach to Dynamic Pilot Assignment in Distributed Massive MIMO Networks
Paper in proceeding, 2023

We investigate the pilot assignment problem in dynamic distributed massive multiple-input multiple-output (DMIMO) systems, where a large number of access points (APs) are randomly distributed in a large cell and serve a smaller number of users in a coordinated manner. To save resources for channel estimation, a common practice is to consider only the channels with significant channel strengths between users and APs, whilst ignoring those negligible ones. This artificially imposes a graph structure on the network topology for pilot assignment. In a highly dynamic scenario with e.g., high-mobility users, however, the network topology may be varying over time, demanding frequent re-assignments of pilot sequences. In this paper, we consider a topological pilot assignment in a dynamic setting and propose a robust approach leveraging maximum distance separable (MDS) codes on graphs, such that pilots can be assigned once for all, regardless of the time-varying channel strengths. Simulation results of the downlink data rate performance in both static and dynamic DMIMO scenarios demonstrate the superior robustness of our proposed approach.

topological interference management

dynamic pilot assignment

DMIMO

MDS code

Author

Han Yu

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Hao Guo

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Xinping Yi

University of Liverpool

Tommy Svensson

GigaHertz Centre

Chalmers Antenna Systems Excellence Center (ChaseOn)

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

606-610
9781665496261 (ISBN)

24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Shanghai, China,

A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X )

European Commission (EC) (EC/HE/101120332), 2023-10-01 -- 2027-09-30.

European Commission (EC) (EC/2020/101015956), 2021-01-01 -- 2023-06-30.

Subject Categories

Telecommunications

Communication Systems

Signal Processing

DOI

10.1109/SPAWC53906.2023.10304481

More information

Latest update

1/12/2024