TY - GEN
T1 - Outage analysis for 5G beamforming heterogeneous networks
AU - Xie, Yi
AU - Li, Bo
AU - Zuo, Xiaoya
AU - Yang, Mao
AU - Yan, Zhongjiang
AU - Xue, Qingtian
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/22
Y1 - 2016/11/22
N2 - With an explosion of wireless mobile devices and services, beam-based communication in 5G heterogeneous network (HetNet) has attracted extensive attention recently due to some potential technologies in 5G such as massive MIMO and millimeter wave. This paper proposes an outage probability analysis framework for 5G beamforming HetNet, which is composed of a multi-layer cellular network including macrocells and small cells. The HetNet is affected by base station (BS) densities, transmission powers, beam gains, beamwidths, path loss exponents and cell association bias factors. We derive the association probability, average number of users in a layer and the PDF of the distance to the serving BS for the proposed beamforming HetNet. Then the SINR (Signal to Interference plus Noise Ratio) function is formulated. Moreover, we derive the outage probability of the network and use stochastic geometry to simulate the system performance.
AB - With an explosion of wireless mobile devices and services, beam-based communication in 5G heterogeneous network (HetNet) has attracted extensive attention recently due to some potential technologies in 5G such as massive MIMO and millimeter wave. This paper proposes an outage probability analysis framework for 5G beamforming HetNet, which is composed of a multi-layer cellular network including macrocells and small cells. The HetNet is affected by base station (BS) densities, transmission powers, beam gains, beamwidths, path loss exponents and cell association bias factors. We derive the association probability, average number of users in a layer and the PDF of the distance to the serving BS for the proposed beamforming HetNet. Then the SINR (Signal to Interference plus Noise Ratio) function is formulated. Moreover, we derive the outage probability of the network and use stochastic geometry to simulate the system performance.
UR - http://www.scopus.com/inward/record.url?scp=85006925541&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2016.7753609
DO - 10.1109/ICSPCC.2016.7753609
M3 - 会议稿件
AN - SCOPUS:85006925541
T3 - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
BT - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Y2 - 5 August 2016 through 8 August 2016
ER -