TY - GEN
T1 - Area performance of multi-cell massive MIMO system under Ricean fading
AU - Nyarko, James Kweku Nkrumah
AU - Yao, Rugui
AU - Mbom, Christian Ango
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/29
Y1 - 2017/12/29
N2 - Wireless network design is characterized by multiple performance objectives. In this work, we consider the performance of downlink transmit beamforming in multi-cell massive MIMO systems under Ricean propagation. Deliberations are made on variation of Ricean factor in controlling the transmit beamforming for mitigating multi-cell contamination. We propose downlink Zero Forcing (ZF) beamforming scheme, that is user location-dependent especially at cell edge. The crux is to adjust the base station power for users close to cell edges. Exploiting random matrix theory, mathematical conclusions for the per cell area rate, Ricean factor and transmit power are established in closed form expressions. Simulation results show accuracy of the bounds and performance of the ZF beamforming with massive MIMO channels. The results demonstrate the proposed ZF beamforming outperforms the conventional ZF beamforming, hence resolves the impact of contaminations from neighboring cells. The rate gain is dependent on Ricean factor and user location, but independent of cell size.
AB - Wireless network design is characterized by multiple performance objectives. In this work, we consider the performance of downlink transmit beamforming in multi-cell massive MIMO systems under Ricean propagation. Deliberations are made on variation of Ricean factor in controlling the transmit beamforming for mitigating multi-cell contamination. We propose downlink Zero Forcing (ZF) beamforming scheme, that is user location-dependent especially at cell edge. The crux is to adjust the base station power for users close to cell edges. Exploiting random matrix theory, mathematical conclusions for the per cell area rate, Ricean factor and transmit power are established in closed form expressions. Simulation results show accuracy of the bounds and performance of the ZF beamforming with massive MIMO channels. The results demonstrate the proposed ZF beamforming outperforms the conventional ZF beamforming, hence resolves the impact of contaminations from neighboring cells. The rate gain is dependent on Ricean factor and user location, but independent of cell size.
KW - Area cell Rate
KW - Beamforming
KW - Massive MIMO
KW - Multi-Cell
KW - Ricean Fading
KW - Zero Forcing
UR - http://www.scopus.com/inward/record.url?scp=85049190290&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2017.8242575
DO - 10.1109/ICSPCC.2017.8242575
M3 - 会议稿件
AN - SCOPUS:85049190290
T3 - 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
SP - 1
EP - 6
BT - 2017 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2017
Y2 - 22 October 2017 through 25 October 2017
ER -