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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
Energy-efficiency schemes for base stations in 5G heterogeneous
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
Joint Base Station Selection and Power Allocation Design for
Cell-free (CF) networks can reduce cell boundaries by densely deploying base stations (BSs) with additional hardware costs and power sources. Integrating a reconfigurable
Energy-Efficient Hybrid Beamforming for Integrated Sensing
he hybrid MIMO architecture communicates with multiple users and simultaneously detects multiple targets. The proposed scheme seeks to maximize the EE of the system, considering
Joint Base Station Selection and Power Allocation
Cell-free (CF) networks can reduce cell boundaries by densely deploying base stations (BSs) with additional hardware costs and power
Coordinated scheduling of 5G base station energy storage for
To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution network (DN) voltage control, enabling BSES
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.
Integrated Sensing and Communication enabled Sensing
1) Duplex Interference between Sensing and Communication: Duplex interference consists of two main components: interference of the sensing echo signal to the uplink communication signal
Energy-Efficient Interference Cancellation for
Abstract: Integrated sensing and communication (ISAC) systems leverage coordinated multi-point (CoMP) base stations (BSs) to deliver high-accuracy sensing and
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
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
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
Coordinated scheduling of 5G base station energy
To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution
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