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Block Diagonal Hybrid Precoding and Power Allocation for QoS-Aware BDMA Downlink Transmissions
Guanchong Niu1,2,3, Qi Cao1,3, Manon Pun1,2,3
1School of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, China.
Sensors (Basel, Switzerland)
|August 16, 2020
Summary
This study introduces a novel Beam Division Multiple Access (BDMA) system for multi-user MIMO, reducing radio frequency (RF) chains by grouping data streams before digital precoding. This approach minimizes interference and meets quality of service (QoS) requirements efficiently.
Area of Science:
- Wireless communication systems
- Signal processing for telecommunications
- Information theory
Background:
- Multi-user multiple-input multiple-output (MU-MIMO) systems enable simultaneous data transmission to multiple users.
- Existing hybrid precoding in MU-MIMO typically requires a number of radio frequency (RF) chains equal to or greater than the number of data streams.
- Beam Division Multiple Access (BDMA) offers a method for simultaneous transmission via different beams.
Purpose of the Study:
- To propose a novel BDMA downlink system architecture for MU-MIMO.
- To reduce the number of required RF chains compared to the total number of data streams.
- To optimize system performance by minimizing interference and satisfying user Quality of Service (QoS).
Main Methods:
- A novel BDMA system is proposed by grouping data streams before digital precoding.
- A greedy user grouping algorithm is developed to minimize inter-group interference.
- Two digital precoding approaches are presented to suppress intra-group interference by maximizing Signal-to-Interference-and-Noise Ratio (SINR) and Signal-to-Leakage-and-Noise Ratio (SLNR).
- Power allocation is optimized using the difference of convex functions (D.C.) programming technique to meet QoS requirements.
Main Results:
- The proposed BDMA system effectively requires fewer RF chains than the total number of transmit data streams.
- The devised algorithms successfully minimize inter-group and intra-group interference.
- Power allocation optimization ensures user QoS requirements are met.
- Simulation results validate the effectiveness of the proposed scheme.
Conclusions:
- The novel BDMA system with hybrid precoding offers a more efficient architecture for MU-MIMO.
- The proposed grouping and precoding strategies significantly reduce hardware complexity (RF chains).
- The system demonstrates robust performance in meeting user QoS demands through optimized power allocation.
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