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Neighbor-based joint spatial division and multiplexing in massive MIMO: user scheduling and dynamic beam allocation.
- Source :
- EURASIP Journal on Advances in Signal Processing; 1/2/2024, Vol. 2024 Issue 1, p1-29, 29p
- Publication Year :
- 2024
-
Abstract
- Two-stage precoding schemes have been developed to reduce the channel estimation overhead in FDD systems. By integrating user scheduling into these schemes, it becomes possible to meet the quality-of-service requirements of high-density wireless communication systems, despite the limitations on spatial resources and transmit power budget. In this paper, we propose a user scheduling and dynamic beam allocation method for neighbor-based joint spatial division multiplexing (N-JSDM) transmission. The user scheduling problem is formulated as a 0–1 quadratic programming problem to maximize effective spectral efficiency (ESE) using directional channel properties. To address the complexity issue, convex relaxation and linearization methods are employed to transform the problem into a 0–1 mixed integer linear programming, and a dimensionality reduction method is introduced. The proposed user scheduling-aided N-JSDM scheme reduces downlink training length and feedback of channel state information. Additionally, a dynamic configuration form is used for pre-beamforming matrix design based on user distribution, outperforming conventional approaches. Simulation results demonstrate higher ESE achieved by the proposed scheme compared to previous methods. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16876172
- Volume :
- 2024
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- EURASIP Journal on Advances in Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 174558084
- Full Text :
- https://doi.org/10.1186/s13634-023-01099-8