Robust Joint Hybrid Analog-Digital Transceiver Design for Full-Duplex mmWave Multicell Systems

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Abstract
In this work, we investigate a full-duplex (FD) millimeter wave (mmWave) multicell system, where the BS of each cell receives signals from uplink (UL) users and transmits signals to downlink (DL) users at the same time, over the same frequency band. We maximize the sum rate lower bound of the FD multicell system by jointly optimizing the digital and analog beamforming matrices at the base station (BS) and the transmit power levels of the UL users under total transmit power constraints and unit-modulus constraints (due to the analog beamforming matrices), in the presence of imperfect channel state information (CSI). The problem under study is very challenging due to the highly non-convexity of the objective function and constraints. We transform this problem into an equivalent but more tractable form and propose a novel iterative algorithm based on the penalty dual decomposition (PDD) to solve it. The proposed algorithm is guaranteed to converge to the set of Karush-Kuhn-Tucker (KKT) solutions of the original problem. Moreover, we also extend our proposed algorithm to the structure of subarray. Simulation results validate the effectiveness of the proposed algorithm as compared with conventional nonrobust and half-duplex (HD) algorithms.
Funding Information
  • National Natural Science Foundation of China (91938202)
  • Zhejiang Provincial Natural Science Foundation of China (LQ20F010010)
  • Fundamental Research Funds for the Central Universities (2019QNA5011)
  • National Natural Science Foundation of China (61831004, 61971376)
  • Zhejiang Provincial Natural Science Foundation for Distinguished Young Scholars (LR19F010002)
  • National Key Research and Development Project (2018YFB1802303)
  • Engineering and Physical Sciences Research Council projects (EP/N004558/1, EP/P034284/1, EP/P034284/1, EP/P003990/1)
  • Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom

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