Optimal MIMO Broadcasting for Energy Harvesting Transmitter With non-Ideal Circuit Power Consumption


This paper develops a unique approach to optimal broadcast scheduling for an energy-harvesting powered transmitter with non-ideal circuit power consumption. Relying on the uplink-downlink duality and convex optimization tools, the proposed approach provides low-complexity algorithms to obtain the optimal transmission policies that maximize the weighted sum-throughput for multi-input multi-output (MIMO) broadcast channels. For both time-invariant and time-varying channels, it's revealed that the optimal transmission between any two consecutive channel or energy state changing instants, termed epoch, can solely take one amongst the three ways: 1) no transmission; a pair of) transmission with an energy-potency (EE) maximizing add-power over half of the epoch; or 3) transmission with a sum-power larger than the EE-maximizing power over the full epoch. The proposed approach will give the optimal benchmarks for sensible schemes in energy-harvesting MIMO broadcast transmissions, and will be used to develop economical online scheduling schemes that need only causal knowledge of energy arrival realizations.

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