activity
20162018
most citedBase Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

192 citations · 354 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2018★ 73 cited

Dealing with Limited Backhaul Capacity in Millimeter Wave Systems: A Deep Reinforcement Learning Approach

Mingjie Feng, Shiwen Mao

Millimeter Wave (MmWave) communication is one of the key technology of the fifth generation (5G) wireless systems to achieve the expected 1000x data rate. With large bandwidth at m…

cs.NI2017★ 192 cited

Base Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

Mingjie Feng, Shiwen Mao, Tao Jiang

To achieve the expected 1000x data rates under the exponential growth of traffic demand, a large number of base stations (BS) or access points (AP) will be deployed in the fifth ge…

cs.NI2016★ 4 cited

Interference Management in Massive MIMO HetNets: A Nested Array Approach

Mingjie Feng, Shiwen Mao

The nested array, which is implemented by nonuniform antenna placement, is an effective approach to achieve O(N^2) degrees of freedom (DoF) with an antenna array of N antennas. Suc…

cs.NI2016★ 55 cited

BOOST: Base station on-off switching strategy for energy efficient massive MIMO HetNets

Mingjie Feng, Shiwen Mao, Tao Jiang

In this paper, we investigate the problem of optimal base station (BS) ON-OFF switching and user association in a heterogeneous network (HetNet) with massive MIMO, with the objecti…

cs.NI2016★ 30 cited

Harvest the potential of massive MIMO with multi-layer techniques

Mingjie Feng, Shiwen Mao

Massive MIMO is envisioned as a promising technology for 5G wireless networks due to its high potential to improve both spectral and energy efficiency. Although the massive MIMO sy…