Moving a LEO ground station's antenna positions once at startup and optimizing beamforming weights over time yields higher average rates than fixed dense or sparse arrays in interference-heavy scenarios.
Resolving the Double Near-Far Problem via Wireless Powered Pinching-Antenna Networks
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abstract
This letter introduces a novel wireless powered communication system, referred to as a wireless powered pinching-antenna network (WPPAN), utilizing a single waveguide with pinching antennas to address the double near-far problem inherent in wireless powered networks. In the proposed WPPAN, users harvest energy from spatially distributed pinching antennas in the downlink and use the collected power to transmit messages in the uplink. Furthermore, to manage the combinatorial complexity associated with activating the pinching antennas, we propose three approaches of varying complexity to simplify the original resource allocation problem and then solve it efficiently using convex optimization methods. Simulation results confirm that the proposed WPPAN system effectively mitigates the double near-far problem by providing antenna resources closer to the users, thereby enhancing both downlink energy harvesting and uplink data transmission.
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Joint Antenna Positioning and Beamforming for Movable Antenna Array Aided Ground Station in Low-Earth Orbit Satellite Communication
Moving a LEO ground station's antenna positions once at startup and optimizing beamforming weights over time yields higher average rates than fixed dense or sparse arrays in interference-heavy scenarios.