TY - JOUR
T1 - Successive interference cancellation and fractional frequency reuse for LTE uplink communications
AU - He, Jianhua
AU - Tang, Zuoyin
AU - Ding, Zhiguo
AU - Wu, Dapeng
N1 - Funding Information:
Manuscript received November 12, 2017; revised March 25, 2018 and June 6, 2018; accepted July 20, 2018. Date of publication August 17, 2018; date of current version November 12, 2018. The work of J. He and Z. Tang was supported in part by FP7 Grant DETERMINE (FP7-PEOPLE-2012-IRSES under Grant 318906) and in part by EU Horizon2020 Project COSAFE (H2020-MSCA-RISE-2018 under Grant 824019). The work of Z. Ding was supported in part by the U.K. EPSRC under Grant EP/P009719/2 and in part by H2020-MSCA-RISE-2015, under Grant 690750. The review of this paper was coordinated by Dr. L. Zhao. (Corresponding author: Zuoyin Tang.) J. He is with the School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China, and also with the School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, U.K. (e-mail:,[email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - Cellular networks are increasingly densified to deal with the fast growing wireless traffic. Interference mitigation plays a key role for the dense cellular networks. Successive interference cancellation (SIC) and fractional frequency reuse (FFR) are two representative inter-cell interference (ICI) mitigation techniques. In this paper, we study the application of both SIC and FFR for LTE uplink networks, and develop an analytical model to investigate their interactions and impact on network performance. The performance gains with FFR and SIC are related to key system functionalities and variables, such as SIC parameters, FFR bandwidth partition, uplink power control and sector antennas. The ICIs from individual cell sectors are approximated by log-normal random variables, which enables low complexity computation of the aggregate ICI with FFR and SIC. Then, network performance of site throughput and outage probability is computed. The model is fast and has small modeling deviation, which is validated by simulations. Numerical results show that both SIC and FFR can largely improve network performance, but SIC has a stronger impact than FFR. In addition, most of the network performance gains with SIC could be obtained with a small number of SIC stages applied to a few sectors.
AB - Cellular networks are increasingly densified to deal with the fast growing wireless traffic. Interference mitigation plays a key role for the dense cellular networks. Successive interference cancellation (SIC) and fractional frequency reuse (FFR) are two representative inter-cell interference (ICI) mitigation techniques. In this paper, we study the application of both SIC and FFR for LTE uplink networks, and develop an analytical model to investigate their interactions and impact on network performance. The performance gains with FFR and SIC are related to key system functionalities and variables, such as SIC parameters, FFR bandwidth partition, uplink power control and sector antennas. The ICIs from individual cell sectors are approximated by log-normal random variables, which enables low complexity computation of the aggregate ICI with FFR and SIC. Then, network performance of site throughput and outage probability is computed. The model is fast and has small modeling deviation, which is validated by simulations. Numerical results show that both SIC and FFR can largely improve network performance, but SIC has a stronger impact than FFR. In addition, most of the network performance gains with SIC could be obtained with a small number of SIC stages applied to a few sectors.
KW - fractional frequency reuse
KW - Long-Term evolution (LTE)
KW - successive interference cancellation
KW - system performance modeling
UR - http://www.scopus.com/inward/record.url?scp=85051793191&partnerID=8YFLogxK
U2 - 10.1109/TVT.2018.2865814
DO - 10.1109/TVT.2018.2865814
M3 - Article
AN - SCOPUS:85051793191
SN - 0018-9545
VL - 67
SP - 10528
EP - 10542
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 11
M1 - 8438862
ER -