Numerical and experimental study on the thermal performance of aerogel insulating panels for building energy efficiency

2019

IEEE Access

This paper investigates the effects of outdated channel state information on cache-enabled cooperative networks for intelligent connected vehicles, where part of the relay nodes can cache the files requested from the destinations. As the performance benchmark, the system outage probability with perfect and outdated CSIs is derived. The impacts of the system parameters, such as the number of relay nodes, the correlation coefficient, the channel fading power as well as the target data rate are analyzed by deriving the closed-form expressions on the system outage probability. From the analysis, we conclude that the diversity order of system outage probability with perfect CSIs is equal to the total number of relay nodes. While with outdated CSIs the diversity order remains one, regardless of the number of relay nodes. Specifically, the large number of cached relay and large correlation coefficient can significantly improve the system performance. Simulation results are present to validate the theoretical analysis. INDEX TERMS Cooperative networks, outdated CSIs, outage probability, relay selection, intelligent connected vehicles.

Section: Simulation Resultssupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Cache-Enabled Cooperative Edge Networks for Intelligent Connected Vehicles

Deng

2019

IEEE Access

“…In the future works, we will apply the wireless caching technique [38][39][40] to the NOMA systems to further enhance the transmission reliability and security. In addition, we will consider some new materials [41][42][43] for enhancing the communication performance in the practical applications. Furthermore, some intelligent algorithms such as deep learning-based algorithms [44][45][46][47] will be applied into the considered system, in order to further enhance the network performance.…”

Section: Discussionmentioning

confidence: 99%

Cache-enabled physical-layer secure game against smart uAV-assisted attacks in b5G NOMA networks

Gao

et al. 2020

J Wireless Com Network

This paper investigates cache-enabled physical-layer secure communication in a no-orthogonal multiple access (NOMA) network with two users, where an intelligent unmanned aerial vehicle (UAV) is equipped with attack module which can perform as multiple attack modes. We present a power allocation strategy to enhance the transmission security. To this end, we propose an algorithm which can adaptively control the power allocation factor for the source station in NOMA network based on reinforcement learning. The interaction between the source station and UAV is regarded as a dynamic game. In the process of the game, the source station adjusts the power allocation factor appropriately according to the current work mode of the attack module on UAV. To maximize the benefit value, the source station keeps exploring the changing radio environment until the Nash equilibrium (NE) is reached. Moreover, the proof of the NE is given to verify the strategy we proposed is optimal. Simulation results prove the effectiveness of the strategy.

“…Numerical results have been given to validate our analysis. In future works, we will consider the application of this work for IoT networks, such as urban environment improvement [34][35][36] and environmental monitoring [37][38][39][40]. Moreover, we will incorporate the intelligent algorithms such as learning-based algorithms [41,42], deep learning [43,44], and reinforcement learning [45][46][47] into the considered system, in order to further enhance the network performance.…”

Section: Discussionmentioning

confidence: 99%

Cache-aided mobile edge computing for B5G wireless communication networks

Lai

et al. 2020

J Wireless Com Network

This paper investigates a cache-aided mobile edge computing (MEC) network, where the source offloads the computation task to multiple destinations with computation capacity, with the help of a cache-aided relay. For the proposed cache-aided MEC networks, two destination selection criteria have been proposed to maximize the computation capacity of the selected destination, the channel gain of relay link and the channel gain of direct link, respectively. Similarly, three destination selection criteria have been proposed for the cache-free MEC networks based on the computation capacities of destinations and the channel gains of transmission links, respectively. To evaluate the system performance regarding the latency constraint, we provide the outage probability for the proposed network which is defined based on the transmission-plus-computation time. Our analysis suggests that caching can significantly alleviate the impact of increasing the size of computation task, since only half of the transmission time of cache-free network is required. However, the cache-aided network can not fully exploit the signal from both direct and relay links, thus the improvement by caching is less significant in the high signal-to-noise ratio (SNR) region, compared with the cache-free network employing the destination with maximal channel gain of direct link. Numerical results are given to validate our analysis.