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20122026
most citedOn Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems

413 citations · 796 across the 40 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.IT2018

Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks

Shiwen He, Chenhao Qi, Yongming Huang +2

In this paper, we investigate the downlink transmission for cache-enabled fog radio access networks aiming at maximizing the delivery rate under the constraints of fronthaul capaci…

cs.CV2018★ 5 cited

An Attention-Based Approach for Single Image Super Resolution

Yuan Liu, Yuancheng Wang, Nan Li +4

The main challenge of single image super resolution (SISR) is the recovery of high frequency details such as tiny textures. However, most of the state-of-the-art methods lack speci…

cs.IT2018

Placement Delivery Array Design via Attention-Based Deep Neural Network

Zhengming Zhang, Meng Hua, Chunguo Li +2

A decentralized coded caching scheme has been proposed by Maddah-Ali and Niesen, and has been shown to alleviate the load of networks. Recently, placement delivery array (PDA) was…

cs.NI2018★ 5 cited

Cache-Enabled Dynamic Rate Allocation via Deep Self-Transfer Reinforcement Learning

Zhengming Zhang, Yaru Zheng, Meng Hua +2

Caching and rate allocation are two promising approaches to support video streaming over wireless network. However, existing rate allocation designs do not fully exploit the advant…

cs.IT2018★ 3 cited

Signal Processing for MIMO-NOMA: Present and Future Challenges

Yongming Huang, Cheng Zhang, Jiaheng Wang +3

Non-orthogonal multiple access (NOMA), as the newest member of the multiple access family, is envisioned to be an essential component of 5G mobile networks. The combination of NOMA…

cs.NI2018★ 1 cited

Low-Latency Heterogeneous Networks with Millimeter-Wave Communications

Guang Yang, Ming Xiao, Muhammad Alam +1

Heterogeneous network (HetNet) is a key enabler to largely boost network coverage and capacity in the forthcoming fifth-generation (5G) and beyond. To support the explosively growi…