To relieve the backhaul link stress and reduce the content acquisition delay,mobile edge caching has become one of the promising *** this paper,a novel federated reinforcement learning(FRL)method with adaptive trainin...
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To relieve the backhaul link stress and reduce the content acquisition delay,mobile edge caching has become one of the promising *** this paper,a novel federated reinforcement learning(FRL)method with adaptive training times is proposed for edge *** a new federated learning process with the asynchronous model training process and synchronous global aggregation process,the proposed FRL-based edge caching algorithm mitigates the performance degradation brought by the non-identically and independently distributed(noni.i.d.)characteristics of content popularity among edge *** theoretical bound of the loss function difference is analyzed in the paper,based on which the training times adaption mechanism is proposed to deal with the tradeoff between local training and global aggregation for each edge node in the *** simulations have verified that the proposed FRL-based edge caching method outperforms other baseline methods in terms of the caching benefit,the cache hit ratio and the convergence speed.
As the demand for positioning accuracy reaches the centimeter level, Carrier Phase Positioning (CPP) technology has received widespread attention in 5G New Radio (NR) positioning scenarios due to its high ranging accu...
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Unmanned aerial vehicle (UAV) systems are vulnerable to the inevitable UAV jitter, the impacts of which on both communications and sensing become more detrimental in the high frequency millimeter wave (mmWave) band. W...
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Weak signal detection methods can improve the SNR by recognizing the effective signals submerged in background noise. However, the existing stochastic resonance (SR) method is confined exclusively to the optimization ...
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Low Earth orbit(LEO) satellite systems provide terrestrial users with services that are not limited by geographical location. However, the conflict between existing allocation schemes and the business variability betw...
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Low Earth orbit(LEO) satellite systems provide terrestrial users with services that are not limited by geographical location. However, the conflict between existing allocation schemes and the business variability between beams is becoming increasingly prominent. Beam hopping technology allows for a more flexible and versatile approach to satellite resource allocation. This paper proposes a beam hopping pattern optimization scheme that jointly considers the interference threshold distance and beam service priority, reducing the inter-beam co-channel interference(CCI). In the cluster area, a non-orthogonal multiple access(NOMA)-based collaborative beam hopping(NCBH) scheme is proposed to minimize the cell-edge user(CEU) interference. Since there is a difference in channel gain between the CEU and cellcenter user(CCU), this scheme forms a NOMA cluster to perform power domain multiplexing and formulates a NOMA cluster pairing strategy according to the user location to reduce the CCI of the CEU. After NOMA cluster pairing, the optimal carrier frequency of the NOMA cluster is selected by a reinforcement learning algorithm. The simulation results verify the excellent performance of the proposed NCBH scheme regarding the user’s received power, transmission rate, and outage probability.
In this paper, we investigate the impacts of block-ages on the performances of the unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) systems. Specifically, we first derive the distance ...
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Border Gateway Protocol (BGP) is the Internet standard inter-domain routing protocol, has become an important infrastructure of the Internet. Due to the limitation of the initial design, BGP prefix hijacking is a kind...
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DDoS attacks pose a fundamental security consideration for any application. With the rapid development of technology, highly QoS-sensitive and rich interaction mobile applications have occupied a great portion of curr...
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As one of the critical technologies for the 6 th generation mobile communication system(6 G) mobile communication systems, artificial intelligence(AI) technology will provide complete automation for connecting the vir...
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As one of the critical technologies for the 6 th generation mobile communication system(6 G) mobile communication systems, artificial intelligence(AI) technology will provide complete automation for connecting the virtual and physical worlds. In order to construct the future ubiquitous intelligent network, people are beginning to rethink how mobile communication systems transmit and exploit intelligent information. This paper proposes a new communication paradigm, called the Intellicise communication system: model-driven semantic communication. Intellicise communication system is built on top of the traditional communication system and innovatively adds a new feature dimension on top of the traditional source coding, which enables the communication system to evolve from the traditional transmission of bit to the transmission of "model". Like the semantic base(Seb) for semantic communication, the model is considered as the new feature obtained from the joint source-channel coding. The sink node can re-construct the original signal based on the received model and the encoded sequence. In addition, the performance evaluation metrics and the implementation details of the Intellicise communication system are discussed in this paper. Finally, preliminary results of model-driven image transmission in the Intellicise communication system are presented.
In time-division duplex (TDD) systems, where uplink and downlink channels alternate during transmission process, the continuity of carrier phase measurements becomes challenging to maintain. This leads to periodic loc...
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