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Network cost minimization for reconfigurable intelligent surface aided edge caching

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Chen, Yingyang

Wen, Miaowen

Wu, Yik-Chung

Wang, Li

Liu, Weiping

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In this paper, a new RIS-aided edge caching system is proposed, where a network cost minimization problem is formulated to optimize content placement at cache units, active beamforming at base station and passive phase shifting at RIS. After decoupling the content placement with the hybrid beamforming, we propose an alternating optimization algorithm to tackle the active beamforming and passive phase shifting. For active beamforming, we transform the problem into a semidefinite programming (SDP). For passive phase shifting, we propose a block coordinate descent method and a conjugate gradient algorithm to deal with the non-convex unit-modulus constraints. Numerical results show that our RIS-aided edge caching design can effectively decrease the network cost in terms of backhaul capacity and power consumption.

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Institute of Electrical and Electronics Engineers

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IEEE Wireless Communications and Networking Conference Workshops

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10.1109/WCNCW49093.2021.9419999

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Item type:Goal, Access status: Open Access ,
07 - Affordable and Clean Energy
Renewable energy solutions are becoming cheaper, more reliable and more efficient every day.Our current reliance on fossil fuels is unsustainable and harmful to the planet, which is why we have to change the way we produce and consume energy. Implementing these new energy solutions as fast as possible is essential to counter climate change, one of the biggest threats to our own survival.
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