A Bipartite Graph Approach for FDD V2V Underlay Massive MIMO Transmission

You, Li, Xiao, Meng, Wang, Kezhi, Wang, Wenjin and Gao, Xiqi (2021) A Bipartite Graph Approach for FDD V2V Underlay Massive MIMO Transmission. IEEE Transactions on Vehicular Technology, 70 (5). pp. 5149-5154. ISSN 0018-9545

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Official URL: https://doi.org/10.1109/TVT.2021.3076116


Utilizing the inherent sparsity of massive multiple-input multiple-output (MIMO) channels in the beam domain, we propose a bipartite graph approach for frequency-division duplexing (FDD) vehicle-to-vehicle (V2V) underlay massive MIMO transmission. First, the physically motivated constraints are introduced to schedule the users with channel dimension no larger than the pilot dimension and beam directions with strong channel power as well as weak interference. We then develop an optimization problem which is formulated as a mixed-integer linear program (MILP) to maximize the rank of the effective channel matrix subject to the introduced constraints. We further provide a channel estimation and precoding scheme for the base station and each V2V transmitter over the equivalent reduced-dimensional channels based on the solution of MILP. Numerical results show the superiority of the proposed bipartite graph approach in terms of pilot overhead and spectral efficiency over the conventional baseline.

Item Type: Article
Additional Information: Funding Information: This work was supported in part by the National Key R&D Program of China under Grant 2018YFB1801103, in part by the National Natural Science Foundation of China under Grants 61801114, 61631018, and 61761136016, in part by the Jiangsu Province Basic Research Project under Grant BK20192002, and in part by the Fundamental Research Funds for the Central Universities.
Uncontrolled Keywords: bipartite graph, FDD, Massive MIMO, V2V
Subjects: G400 Computer Science
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 04 Jan 2022 09:59
Last Modified: 04 Jan 2022 10:00
URI: http://nrl.northumbria.ac.uk/id/eprint/48056

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