This paper studies the energy efficiency and sum rate tradeoff for coordinated beamforming in multicell multiuser multigroup multicast multiple-input single-output systems. We first consider a conventional network energy efficiency maximization (EEmax) problem by jointly optimizing the transmit beamformers and antennas selected to be used in transmission. We also account for per-antenna maximum power constraints to avoid nonlinear distortion in power amplifiers and user-specific minimum rate constraints to guarantee certain service levels and fairness. To be energy efficient, transmit antenna selection is employed. It eventually leads to a mixed-Boolean fractional program. We then propose two different approaches to solve this difficult problem. The first solution is based on a novel modeling technique that produces a tight continuous relaxation. The second approach is based on sparsity-inducing method, which does not require the introduction of any Boolean variable. We also investigate the tradeoff between the energy efficiency and sum rate by proposing two different formulations. In the first formulation, we propose a new metric, that is, the ratio of the sum rate and the so-called weighted power. Specifically, this metric reduces to EEmax when the weight is 1, and to sum rate maximization when the weight is 0. In the other method, we treat the tradeoff problem as a multiobjective optimization for which a scalarization approach is adopted. Numerical results illustrate significant achievable energy efficiency gains over the method where the antenna selection is not employed. The effect of antenna selection on the energy efficiency and sum rate tradeoff is also demonstrated.
Tervo Oskari, Tran Le-Nam, Pennanen Harri, Chatzinotas Symeon, Ottersten Björn, Juntti Markku
A1 Journal article – refereed
Place of publication:
15 September 2018
O. Tervo, L. Tran, H. Pennanen, S. Chatzinotas, B. Ottersten and M. Juntti, “Energy-Efficient Multicell Multigroup Multicasting With Joint Beamforming and Antenna Selection,” in IEEE Transactions on Signal Processing, vol. 66, no. 18, pp. 4904-4919, 15 Sept.15, 2018. doi: 10.1109/TSP.2018.2864636
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