To enhance system efficiency and establish green wireless communication systems, this paper investigates base station sleeping and power allocation strategy based on deep reinforcement learning in UDNs.
Base stations, especially in remote or off-grid areas, increasingly utilize hybrid systems combining ESS with renewable sources like solar PV or small wind turbines.
In this paper, we propose to improve the density of SBS distribution hierarchically as well as the number of its layer, avoiding the difficulties in achieving high density antennas, which is known as the cooperative
Therefore, in response to the impact of communication load rate on the load of 5G base stations, this paper proposes a base station energy storage auxiliary power grid peak shaving method based on communication
This chapter organizes the state-of-the-art in small spacecraft communications technologies into two main categories: RF and FSO. Tables at the end of each section list hardware options for RF and
Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy efficiency of cellular networks. To meet the increasing demand of high-data-rate for wireless applications,...
Aiming at minimizing the base station (BS) energy consumption under low and medium load scenarios, the 3GPP recently completed a Release 18 study on energy savi
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for both network maintenance and
• NSN SmallSat/CubeSat Support. – Emerging Commercial Services (CS) Providers – Streamlining the NSN Mission Planning and Integration (MP&I) Function – Support CubeSat Transition to NSN Frequencies, Higher
We compute the transmission power and location of SBS and MSBS based on energy efficiency (EE), combining their strengths to tackle the challenge. This approach maintains SBS communication
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