Robust Fairness Transceiver Design for a Full-Duplex MIMO Multi-Cell System
| Autor: | Lutz Lampe, Md. Jahidur Rahman, Ali Cagatay Cirik |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Beamforming
Mathematical optimization Optimization problem Computer science Iterative method ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS MIMO 020206 networking & telecommunications 020302 automobile design & engineering Throughput Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Base station 0203 mechanical engineering Robustness (computer science) Telecommunications link Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Computer Science::Information Theory |
| Zdroj: | IEEE Transactions on Communications. 66:1027-1041 |
| ISSN: | 0090-6778 |
| DOI: | 10.1109/tcomm.2017.2780833 |
| Popis: | We consider optimal linear precoder and decoder designs in a multi-cell multiple-input multiple-output system, where base stations and mobile users are both operating in full-duplex (FD) mode. Existing works on FD cellular systems focus on the maximization of overall throughput, which can result in unfairness between uplink and downlink channels depending on the self-interference power and inter-user interference levels. Therefore, to introduce fairness, in this paper, we consider the transmit and receive beamforming designs that maximize the harmonic-sum of signal-to-interference-plus-noise ratios (SINRs) in the uplink and downlink channels. We propose a low-complexity alternating optimization algorithm which converges to a stationary point. Moreover, in order to address practical system design aspects, we consider the transceiver design that enforces robustness against imperfect channel state information (CSI) while providing fair performance among the users. To this end, we formulate an optimization problem that maximizes the worst case SINR among all users under norm-bounded CSI errors. We devise a low-complexity iterative algorithm based on alternating optimization and semidefinite relaxation techniques. Numerical results verify the advantages of incorporating FD mode into cellular systems, and practical issues, such as CSI uncertainty and fairness performance. |
| Databáze: | OpenAIRE |
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