A deep reinforcement learning algorithm can position a drone-carried intelligent reflector to maintain line-of-sight millimeter-wave links, improving simulated downlink data rates and LOS probability over static and non-learning reflectors.
Energy Efficient Multi-User MISO Communication using Low Resolution Large Intelligent Surfaces
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We consider a multi-user Multiple-Input Single-Output (MISO) communication system comprising of a multi-antenna base station communicating in the downlink simultaneously with multiple single-antenna mobile users. This communication is assumed to be assisted by a Large Intelligent Surface (LIS) that consists of many nearly passive antenna elements, whose parameters can be tuned according to desired objectives. The latest design advances on these surfaces suggest cheap elements effectively acting as low resolution (even $1$-bit resolution) phase shifters, whose joint configuration affects the electromagnetic behavior of the wireless propagation channel. In this paper, we investigate the suitability of LIS for green communications in terms of Energy Efficiency (EE), which is expressed as the number of bits per Joule. In particular, for the considered multi-user MISO system, we design the transmit powers per user and the values for the surface elements that jointly maximize the system's EE performance. Our representative simulation results show that LIS-assisted communication, even with nearly passive $1$-bit resolution antenna elements, provides significant EE gains compared to conventional relay-assisted communication.
fields
cs.IT 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Reflections in the Sky: Millimeter Wave Communication with UAV-Carried Intelligent Reflectors
A deep reinforcement learning algorithm can position a drone-carried intelligent reflector to maintain line-of-sight millimeter-wave links, improving simulated downlink data rates and LOS probability over static and non-learning reflectors.