Abstract
We investigate the performance of multiuser multiple-input-single-output (MU-MISO) downlink in the presence of the mutual coupling effect at the transmitter. Contrary to traditional approaches that aim at eliminating this effect, in this paper we propose a joint analog–digital (AD) beamforming scheme that exploits this effect to further improve the system performance. A jointly optimal AD beamformer is first obtained by iteratively maximizing the minimum received signal-to-interference-plus-noise ratio in the digital domain, followed by an optimization on the load impedance of each antenna element in the analog domain. We further introduce a decoupled low-complexity approach, with which existing closed-form beamforming schemes can also be efficiently applied. For the consideration of hardware imperfections in practice, we study the case where the analog load values are quantized, and propose a sequential search scheme based on greedy algorithm to efficiently obtain the desired quantized load values. Moreover, we also investigate the imperfect channel state information (CSI) scenarios, where we prove the optimality for closed-form beamformers, and further propose the robust schemes for two typical CSI error models. Simulation results show that with the proposed schemes the mutual coupling effect can be exploited to further improve the performance for both perfect CSI and imperfect CSI.
Highlights
T HE widely acknowledged benefits of multiple-inputmultiple-output (MIMO) systems have made them a standard in current and future communication systems
By calculating the signalto-interference-plus-noise ratio (SINR) of the received symbols, we show that for closed-form beamforming techniques in the digital domain, the load values obtained with perfect channel state information (CSI) can be directly applied to imperfect CSI and the optimality still holds
To evaluate the performance of the proposed beamforming schemes, numerical results based on Monte Carlo simulations for the proposed schemes are presented
Summary
T HE widely acknowledged benefits of multiple-inputmultiple-output (MIMO) systems have made them a standard in current and future communication systems. Among MIMO techniques, transmit processing schemes that can transfer the complexity from the user end to the base stations (BSs) have been widely studied and adopted in the latest communication standards [1][2]. In [3], the capacity achieving dirty paper coding (DPC) has been proposed, which is difficult to implement due to the impractical assumption of Manuscript received February 28, 2017; revised August 09, 2017, and November 15, 2017; accepted November 18, 2017. The associate editor coordinating the review of this paper and approving it for publication was Prof.
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