2016/7/12(二)15:30-16:30 How Deep Learning Could Help 5G: Some Preliminary Ideas

講者:孔祥重院士
題目:How Deep Learning Could Help 5G: Some Preliminary Ideas
時間:7月12日(二)15:30~16:30
地點:工四館528會議室(可容納50人)
主辦單位:大數據研究中心
協辦單位:資訊學院、電機學院、電子與資訊研究中心
摘要:
The 5G standard for mobile networking will be a far greater departure from
 its predecessor, 4G, than 4G was of its predecessor. We expect a
 proliferation of small, overlapping, dense cells as well as use of
 millimeter wave (mmW) bands. Controlling such 5G systems will be
 unprecedentedly complex, which will likely defy conventional physical
 model-based solutions. Instead, data-driven modeling must be investigated.
 Can deep learning, which has enjoyed great success recently in other
 fields, play a role in 5G? In this talk, I will discuss some possibilities
 from my own group at Harvard, such as applying deep neural networks to (1)
 find a direction for reaching a target receiver over mmW and (2) select an
 optimal mmW beam in the environment with multiple antennas. In addition, I
 will describe recent results on speeding up feedforward inference over deep
 neural networks.