Uplink MIMO Communications With RIS-Integrated Base Station:
In this article, we propose an RIS-integrated base station (BS) by deploying an RIS sufficiently close to the base station antennas (BAs), within its radiative near-field range.
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The present document defines the dynamic measurement method for evaluating energy efficiency of 5G radio Base Stations with respect to the eMBB use case only.
BER and Spectral Efficiency Analysis of Multi-base Station
In recent years, researchers have demonstrated that RIS can be deployed as an energy-efficient and low-cost solution to mitigate channel impairments, enhance signal
Energy-efficiency schemes for base stations in 5G heterogeneous
In the coming future due to the 5G network, the environmental sustainability and energy consumed by the femtocell BSs will turn into a big problem. Hence, effective strategies for
Energy efficiency maximization for active RIS-aided
Two novel optimization methods are proposed, combining techniques from alternating optimization, sequential programming, and fractional programming. Through numerical
Integrated Sensing and Communication enabled Multiple
ISAC signal for ISAC-MCS: ISAC signals in the scenario of single-BS sensing are widely studied. The ISAC signal design and optimization for ISAC-MCS are still in the infancy stage.
Energy-saving control strategy for ultra-dense network base stations
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
Coordinated scheduling of 5G base station energy
According to the energy consumption characteristics of the base station, a 5G base station energy consumption prediction model
Energy-saving control strategy for ultra-dense network base
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
Coordinated scheduling of 5G base station energy storage for
According to the energy consumption characteristics of the base station, a 5G base station energy consumption prediction model based on the LSTM network is constructed
Energy-Efficient Interference Cancellation for
However, the integration of sensing and communication in CoMP-ISAC systems faces significant challenges from interference within and among BSs, which adversely affects
Secure energy efficiency maximization in cell-free networks with
This paper proposes a secure energy efficiency scheme for CF networks using sub-connection active reconfigurable intelligent surfaces that aims to optimizes base station and