Energy efficiency maximization for active RIS-aided integrated
This paper investigates energy-efficient communication within an integrated sensing and communication system. The system employs a dual-function radar
This paper investigates energy-efficient communication within an integrated sensing and communication system. The system employs a dual-function radar
Abstract: Integrated sensing and communication (ISAC) systems leverage coordinated multi-point (CoMP) base stations (BSs) to deliver high-accuracy sensing and
The power consumption of a 5G base station using massive MIMO is dominated by the power consumption of the radio units whose power amplifier(s) consume most of the energy, thus
To reduce power consumption, energy saving technologies for BSs have emerged, which are in line with the concept of green communications and can save operators'' costs. In
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
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
The proliferating frequency bands and modulation schemes of modern cellular networks make it increasingly important that base-station power amplifiers offer the right combination of output
as a promising technology for enhancing the EE of the ISAC system, the multiplicative fading feature hinders its ef. ectiveness. This paper proposes the use of active RIS with its
Energy Efficiency Optimization in Active Reconfigurable Intelligent Surface-Aided Integrated Sensing and Communication SystemsA. System Model1) Transmit Signal:(4) 3) Radar Model:4) Power Consumption:PISAC = ξkWk2 + PST, (9) FB. Problem FormulationV. CONCLUSIONSConsider an active RIS-aided ISAC system as depicted in Fig. 1. The system comprises an M-antenna ISAC BS that serves K single-antenna users and simultaneously detects a single target. The BS transmits integrated communication and sensing signals and receives the target''s echo. The paths between the BS and the users, as well as the paths between th...See more on arxiv
The power consumption of a 5G base station using massive MIMO is dominated by the power consumption of the radio units whose power amplifier(s) consume most of the energy, thus
Two state-of-the-art three-way fully integrated LDMOS DPA monolithic microwave integrated circuit (MMICs) are presented to demonstrate how these measures have been successfully
This work focuses on the characterisation and modelling of the behaviour of transistors in response to changes in supply voltage, while acknowledging the challenges in fully
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The proliferating frequency bands and modulation schemes of modern cellular networks make it increasingly important that base-station power amplifiers offer the right combination of output power, efficiency and multi-band support – at both peak and average power levels. PAs are the main energy consumers in modern base stations.
In wireless base stations, the power amplifier (PA) dominates signal-chain performance in terms of power dissipation, linearity, efficiency, and cost. Monitoring and controlling the performance of a base station’s PA makes it possible to maximize the output power while achieving optimum linearity and efficiency.
Traditional base stations handled baseband processing locally, thereby, collectively consuming more power. The radio unit is by far the most significant contributor to the total RAN power consumption power in a base station.
The power efficiency of a base station can be measured by dividing the cabinet-top power by the DC input power of the base station. >Air interface is the link from the output of the antenna on the top of the cabinet to the radio receiver of the user device.