Linear Transceiver Design for Full-Duplex Multi-cell MIMO Systems
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Abstract
We consider a multi-cell multiple-input multiple-output (MIMO) full-duplex (FD) system, where multiple FD capable base-stations (BSs) serve multiple mobile users operating in FD mode. The self-interference at the BSs and users, and co-channel interference (CCI) between all the nodes (BSs and users) in the system are both taken into account. We consider the transmit and receive filter design for sum-rate maximization problem subject to sum-power constraints at the BSs and individual power constraints at each user of the system under the limited dynamic range considerations at the transmitters and receivers. By reformulating this non-convex problem as an equivalent multi-convex optimization problem with the addition of two auxiliary variables, we propose a low complexity alternating algorithm which converges to a stationary point. Since this sum-rate maximization results in starvation of users in terms of resources depending on the power of the self-interference and CCI channels, we modify the sum-rate maximization problem by adding target data rate constraints on each user, and propose an algorithm based on Lagrangian relaxation of the rate constraints.
BibTEX Reference Entry
@article{CiTaLaMaHu16, author = {Ali Cagatay Cirik and Omid Taghizadeh and Lutz Lampe and Rudolf Mathar and Yingbo Hua}, title = "Linear Transceiver Design for Full-Duplex Multi-cell {MIMO} Systems", pages = "4678-4689", journal = " {IEEE} Access", volume = "4", number = "99", doi = 10.1109/ACCESS.2016.2603439, month = Aug, year = 2016, hsb = RWTH-2016-06393, }
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