In this paper we presented a self-organizing green load balancing algorithm, the GSPA-algorithm, specifically designed to deal with the many overlapping cells and the cell load fluctuations appearing in den
A method of managing distributed self-organizing network and base station is disclosed. The base station includes but not limited to a transmitter, a receiver, and a processor coupled...
Export PriceIn this paper, several BS power supply systems that are based on renewable energy sources are presented and discussed.
Export PriceThis paper introduces an innovative approach to predict energy harvesting by utilizing a novel conditional Long Short-Term Memory (Cond-LSTM) neural network architecture.
Export PriceNew "small cell" design is leading to very optimized rural base stations, offering both 2G and 3G/4G local coverage, connected with state-of-the-art VSAT terminals.
Export PriceIn this paper we presented a self-organizing green load balancing algorithm, the GSPA-algorithm, specifically designed to deal with the many overlapping cells and the cell
Export PriceIn this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem representing this
Export PriceAbstract: In response to the global climate crisis, solar-powered cellular base stations (BSs) are increasingly attractive to mobile network operators as a green solution to reduce the carbon
Export PriceComplete power distribution guide for Stationeers bases. Master hub-based networks, zone isolation, and solar priority systems with detailed examples.
Export PriceIn this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem representing this trade-off...
Export PriceAbstract: In response to the global climate crisis, solar-powered cellular base stations (BSs) are increasingly attractive to mobile network operators as a green solution to
Export PriceRather than relying on backup diesel generators, solar-powered base stations present a sustainable alternative for temporary or permanent climate-resilient infrastructure. The
Export PriceIn this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem
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Due to the rising concerns of energy consumption in wireless networks, base station (BS) sleeping strategies were introduced to save energy in low traffic scenarios. In this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks.
Moreover, by tuning the trade-off, the simulations clearly show a change from minimizing power consumption towards optimizing user-perceived performance. To the best of our knowledge, this is the first self-organizing BS sleeping strategy designed for dense cellular networks.
To the best of our knowledge, this is the first self-organizing BS sleeping strategy designed for dense cellular networks. We wish to stress the fact that the GSPA-algorithm realizes good performance without the need of prior optimization.
Using these properties we design a self-organizing strategy that dynamically (online) makes load-aware user association and BS operation decisions. Our strategy is self-organizing in the sense that it does not need any information or optimization beforehand, it simply relies on real-time load measurements at the BSs and user-reported SINR values.
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