Resource Allocation Algorithm for MU-MIMO Systems With Double-Objective Optimization Under the Existence of the Rank Deficient Channel Matrix

This paper proposes a double-objective optimization resource allocation algorithm for the multi-user multiple-input/multiple-output (MU-MIMO) system in the general wireless environment and demonstrates the maximum number of simultaneously supportable users and the achievable bit rates of users in th...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.61307-61319
Main Authors: Pan, Su, Yan, Yan, Bonsu, Kusi Ankrah, Zhou, Weiwei
Format: Article
Language:English
Subjects:
Algorithms
Convex functions
double-objective optimization
Energy efficiency
MIMO (control systems)
MU-MIMO
Optimization
QoS guarantee
Quality of service
rank deficient
Resource allocation
Resource management
Throughput
Wireless communication
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Summary:This paper proposes a double-objective optimization resource allocation algorithm for the multi-user multiple-input/multiple-output (MU-MIMO) system in the general wireless environment and demonstrates the maximum number of simultaneously supportable users and the achievable bit rates of users in the general wireless environment with full rank and rank-deficient channels. The double-objective joint optimization algorithm proposed in this paper simultaneously optimizes energy efficiency and system throughput by user selection and power allocation. On this basis, the proposed algorithm guarantees the different QoS requirements of various services, including rate requirements and delay requirements.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2915573