TY - JOUR

T1 - Successive interference cancellation and fractional frequency reuse for LTE uplink communications

AU - He, J.

AU - Tang, Z.

AU - Ding, Zhiguo

AU - Wu, D.

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. © 1967-2012 IEEE.

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. © 1967-2012 IEEE.

KW - fractional frequency reuse

KW - Long-Term evolution (LTE)

KW - successive interference cancellation

KW - system performance modeling

KW - Long Term Evolution (LTE)

KW - Mobile ad hoc networks

KW - Mobile telecommunication systems

KW - Network performance

KW - Power control

KW - Fractional Frequency Reuse

KW - Fractional frequency reuses (FFR)

KW - Interference mitigation

KW - Log-normal random variable

KW - Successive interference cancellation(SIC)

KW - Successive interference cancellations

KW - System level simulation

KW - System performance model

KW - Wireless telecommunication systems

U2 - 10.1109/TVT.2018.2865814

DO - 10.1109/TVT.2018.2865814

M3 - Journal article

VL - 67

SP - 10528

EP - 10542

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 11

ER -