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@inproceedings{faucris.233080925,
abstract = {In this paper, we study the competitive interactions between electric vehicle charging stations (EVCSs) with renewable electricity generation facilities (REGFs). As electric vehicles (EVs) become more popular, there will be a competition between neighboring EVCSs to attract more EVs. Therefore, an EVCS is likely to set its electricity price by taking into account the competition with neighboring EVCSs, such that its revenue is maximized. We model the competitive interactions between EVCSs by using game theory. In this paper, we show that the game played by EVCSs is a supermodular game and there exists a unique pure Nash equilibrium for best response algorithms with arbitrary initial policy. Simulation results confirm the convergence of the game between EVCSs. The results also verify that it is beneficial for both EVs and EVCSs to have REGFs and all EVCSs will have REGFs in the long run. © 2013 IEEE.},
author = {Lee, William and Xiang, Lin and Schober, Robert and Wong, Vincent W.S.},
booktitle = {2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013},
date = {2013-10-21/2013-10-24},
doi = {10.1109/SmartGridComm.2013.6687948},
faupublication = {yes},
isbn = {9781479915262},
note = {CRIS-Team Scopus Importer:2020-02-03},
pages = {145-150},
peerreviewed = {unknown},
title = {{Analysis} of the behavior of electric vehicle charging stations with renewable generations},
venue = {Vancouver},
year = {2013}
}
@inproceedings{faucris.232967194,
abstract = {In this paper, we propose a novel joint caching and non-orthogonal multiple access (NOMA) scheme to facilitate advanced downlink transmission for next generation cellular networks. In addition to reaping the conventional advantages of caching and NOMA transmission, the proposed cache-aided NOMA scheme also exploits cached data for interference cancellation which is not possible with separate caching and NOMA transmission designs. Furthermore, as caching can help to reduce the residual interference power, several decoding orders are feasible at the receivers, and these decoding orders can be flexibly selected for performance optimization. We characterize the achievable rate region of cache-aided NOMA and investigate its benefits for minimizing the time required to complete video file delivery. Our simulation results reveal that, compared to several baseline schemes, the proposed cache-aided NOMA scheme significantly expands the achievable rate region for downlink transmission, which translates into substantially reduced file delivery times.},
author = {Xiang, Lin and Ng, Derrick Wing Kwan and Ge, Xiaohu and Ding, Zhiguo and Wong, Vincent W.S. and Schober, Robert},
booktitle = {IEEE International Conference on Communications},
date = {2018-05-20/2018-05-24},
doi = {10.1109/ICC.2018.8422140},
faupublication = {yes},
isbn = {9781538631805},
note = {CRIS-Team Scopus Importer:2020-01-31},
peerreviewed = {unknown},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
title = {{Cache}-aided non-orthogonal multiple access},
venue = {Kansas City, MO},
volume = {2018-May},
year = {2018}
}
@article{faucris.224276266,
abstract = {In this paper, we propose a novel wireless caching scheme to enhance the physical layer security of video streaming in cellular networks with limited backhaul capacity. By proactively sharing video data across a subset of base stations (BSs) through both caching and backhaul loading, secure cooperative joint transmission of several BSs can be dynamically enabled in accordance with the cache status, the channel conditions, and the backhaul capacity. Assuming imperfect channel state information (CSI) at the transmitters, we formulate a two-stage non-convex mixed-integer robust optimization problem for minimizing the total transmit power while providing the quality of service and guaranteeing communication secrecy during video delivery, where the caching and the cooperative transmission policy are optimized in an offline video caching stage and an online video delivery stage, respectively. Although the formulated optimization problem turns out to be NP-hard, low-complexity polynomial-time algorithms, whose solutions are globally optimal under certain conditions, are proposed for cache training and video delivery control. Caching is shown to be beneficial as it reduces the data sharing overhead imposed on the capacity-constrained backhaul links, introduces additional secure degrees of freedom, and enables a power-efficient communication system design. Simulation results confirm that the proposed caching scheme achieves simultaneously a low secrecy outage probability and a high power efficiency. Furthermore, due to the proposed robust optimization, the performance loss caused by imperfect CSI knowledge can be significantly reduced when the cache capacity becomes large.