The paper presents large RF-beamforming arrays (64 elements and higher) capable of 24 Gbps communication systems at 140 GHz and with ±60-degree scanning. The arrays are on grid and can be expanded to 256-elements for 4x8x8 MIMO or other configurations. Also, 2x4 arrays with IF beamforming and with up to 16 Gbps in Tx and Rx modes will be presented. This work shows that standard 45RFSOI and standard packaging used at 28 GHz result in state- of the art performance at D-band, thus ensuring low-cost systems for 6G applications.
To relieve the impact of the power grid outages on the residential sector, residential building energy management under grid outage events has been becoming the research hotspot in both the academic and industry. Considering the coordination of electric vehicles (EVs) and household load flexibility, this paper proposes a two-stage energy management approach for residential community under the planned outages. In the optimal scheduling stage, after receiving the information of the planned outage from the grid, the EVs' charging–discharging power and community load curve reshaping schemes are optimal determined by residential community energy management system (CEMS), aiming at to minimize the total amount of unserved load of the whole community over the planned outage horizon. In the power allocation stage, with the formulated power allocation model, the determined residential community load curve from the above stage is then allocated to each house. The numerical test is finally conducted and the results validated the effectiveness and feasibility of the proposed approach.
In the process of vehicle-network interaction, privacy data is easy to leak and data collection and transmission resources are large. The existing aggregation algorithms cannot efficiently complete the rapid aggregation of vehicle-network interaction data and ensure safety. In this paper, an interactive data security acquisition scheme of vehicle network based on compressed sensing is proposed. Firstly, the whole network is randomly divided into non-overlapping clusters, and each electric vehicle node is regarded as a data sample. Then the random value is generated by using the Bernoulli matrix, which is used to construct the global sparse measurement matrix. Finally, the cluster head receives the measurement value and the Bernoulli random value from the child node, and the compression observation is carried out by the sink node. On the other hand, the aggregator can verify the collected data and send it to the power system control center for decryption. Due to the introduction of a trusted third party, this scheme can ensure the integrity of the data and deal with disputes between the smart grid control center and the user side. According to the test results, this algorithm has smaller reconstruction error and aggregation cost, which can effectively meet the safety efficiency requirements of the vehicle network interaction process.
This paper presents an 8-element 140 GHz CMOS RFSOI wafer-scale phased-array transmit-receive wireless link. Both TX and RX chips are based on intermediate-frequency (IF) beamforming transmit/receive channels with 5-bit phase and 4-bit gain control at the IF band (9–14 GHz) splitters/combiners, a shared local-oscillator (LO) multiplier chain and distribution network. The phased-array TRX system results in a measured EIRP at OP 1dB of 28 dBm and channel noise figure (NF) of 7 dB, respectively, at 140 GHz. A transmit-receive phased-array wireless link is demonstrated at 0.65 m with 11–12 Gb/s data rates using 16 and 64-QAM waveforms. System noise, SNR and EVM analysis are also demonstrated in this paper. To the best of our knowledge, this paper presents the first CMOS phased-array transmit-receive wireless link at 140 GHz, resulting in meter-level high sneed communications with 16 and 64-QAM oneration.
For hybrid ARQ system with bursting errors,an effective method to estimate amounts of optimized sub-packet and an adaptive sub-packet transmission solution are proposed for high speed data communication.The simulation verification for adaptive sub-packet transmission solution′s performance is given based on the theoretical analysis of optimized amounts of sub-packet.Simulation results show that the adaptive sub-packet transmission solution can effectively improve the system throughput to the best according to different channel state in dynamic channels.
A compact dual-band rectangular ring printed antenna for wireless local area network (WLAN) applications is proposed and investigated in this paper. The dual-band is realized by using a rectangular ring patch connected with a 50Ω mini-coaxial feed structure composed of a longitudinal slot and a small rectangular, occupying a small board space of 30.6mm∗6mm on the system circuit board. With a modified rectangular ground plane on the back of the main structure, a better impedance matching is obtained. The antenna provides two wide operation bands covering the WLAN frequency bands: 2.4GHz(2.4–2.483GHz),5.2GHz(5.15–5.35GHz)and 5.8GHz(5.725–5.875GHz) applying to IEEE 802.11a and IEEE 802.11b. This antenna is simulated and studied by the High-Frequency Structure Simulator (HFSS) and the operating procedure of the proposed antenna is described in detail, as well. The result of simulation reveals that the resonant bands are 2.216GHz to 2.612GHz and 5.108GHz to 5.875GHz with the relative bandwidth of 16.2% and 13.2% respectively. Besides, the fabricated antenna is tested by the vector network analyzer, and the results are in accordance with the simulated on the whole.
PWM control method is an important method for the optimization operation of Dual Active Bridge (DAB) converter. The traditional way which is used to analyze PWM control is not precise and comprehensive. This paper gives the accurate calculation of power flow and RMS value of inductor current by proposing a novel method. Six modes are analyzed based on the control signal distributions. Finally, the simulations and experiments are used to verify the theoretic results.
Multi-access edge computing (MEC) enhances service quality for users and reduces computational overhead by migrating workloads and application data to the network edge. However, current solutions for task offloading and cache replacement in edge scenarios are constrained by factors such as communication bandwidth, wireless network coverage, and limited storage capacity of edge devices, making it challenging to achieve high cache reuse and lower system energy consumption. To address these issues, a framework leveraging cooperative edge servers deployed in wireless access networks across different geographical regions is designed. Specifically, we propose the Distributed Edge Service Caching and Offloading (DESCO) network architecture and design a decentralized resource-sharing algorithm based on consistent hashing, named Cache Chord. Subsequently, based on DESCO and aiming to minimize overall user energy consumption while maintaining user latency constraints, we introduce the real-time computation offloading (RCO) problem and transform RCO into a multi-player static game, prove the existence of Nash equilibrium solutions, and solve it using a multi-dimensional particle swarm optimization algorithm. Finally, simulation results demonstrate that the proposed solution reduces the average energy consumption by over 27% in the DESCO network compared to existing algorithms.
To support two-way interaction of electricity users and power companies,to meet a wide range of electricity services demand of electricity users,this paper designs the general interactive service platform for power users.First this paper puts forward the software architecture of interactive service platform based on the overall framework of the smart electricity service system,offers the design standard and the theoretical basis for power software system 3,4 district access.Then this paper describes the main function of platform and the service content.Finally this paper introduces the physical deployment architecture,security protect,interactive form.The platform adopts open-ended of system architecture,it has several advantages,such as standard access,information sharing and higher reliability.It will play an important role in smart grid and electricity users.
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