TY - GEN
T1 - Comparison of Massive MIMO and Small Cells in HetNet with LoS and NLoS Transmissions
AU - Zhang, Qi
AU - Yang, Howard H.
AU - Quek, Tony Q.S.
AU - Lee, Jemin
N1 - Funding Information:
This work was supported in part by the MOE ARF Tier 2 under Grant MOE2015-T2-2-104, the SUTD-ZJU Research Collaboration under Grant SUTD-ZJU/RES/01/2014 and Grant SUTD-ZJU/RES/01/2016. The work of Jemin Lee was supported in part by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No. 2017R1C1B2009280) and the DGIST R&D Program of the Ministry of Science and ICT(17-ST-02).
PY - 2017/7/1
Y1 - 2017/7/1
N2 - We develop a framework for downlink heteroge- neous cellular networks with line-of-sight (LoS) and non-line- of- sight (NLoS) transmissions. Using stochastic geometry, we derive a tight approximation of the achievable downlink rate that enables us to compare the performance between densifying small cells and expanding base station (BS) antenna arrays. Interestingly, we find that adding small cells into a sparse network improves the achievable rate much faster than expanding antenna arrays at the macro BS. However, when the small cell density exceeds a critical threshold, the spacial densification will lose its benefits and further impair the network capacity. To this end, we present the optimal small cell density that maximizes the rate as practical deployment guidance. In contrast, expanding macro BS antenna array can always increase the capacity until reaching an upper bound caused by pilot contamination, and this bound also surpasses the peak rate obtained from deployment of small cells. Therefore, small cells are preferred for low rate requirements due to the rapid rate gain, and the massive MIMO is preferred for higher rate requirements due to better achievable rate.
AB - We develop a framework for downlink heteroge- neous cellular networks with line-of-sight (LoS) and non-line- of- sight (NLoS) transmissions. Using stochastic geometry, we derive a tight approximation of the achievable downlink rate that enables us to compare the performance between densifying small cells and expanding base station (BS) antenna arrays. Interestingly, we find that adding small cells into a sparse network improves the achievable rate much faster than expanding antenna arrays at the macro BS. However, when the small cell density exceeds a critical threshold, the spacial densification will lose its benefits and further impair the network capacity. To this end, we present the optimal small cell density that maximizes the rate as practical deployment guidance. In contrast, expanding macro BS antenna array can always increase the capacity until reaching an upper bound caused by pilot contamination, and this bound also surpasses the peak rate obtained from deployment of small cells. Therefore, small cells are preferred for low rate requirements due to the rapid rate gain, and the massive MIMO is preferred for higher rate requirements due to better achievable rate.
UR - http://www.scopus.com/inward/record.url?scp=85046461160&partnerID=8YFLogxK
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U2 - 10.1109/GLOCOM.2017.8254887
DO - 10.1109/GLOCOM.2017.8254887
M3 - Conference contribution
AN - SCOPUS:85046461160
T3 - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
SP - 1
EP - 6
BT - 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Global Communications Conference, GLOBECOM 2017
Y2 - 4 December 2017 through 8 December 2017
ER -