A novel power control mechanism based on interference estimation in LTE cellular networks

In LTE cellular networks, the pathloss impacts the performance of the uplink channel power control. Therefore, power control algorithms can achieve good performance on the location where user equipment (UE) is not power limited. The baseline parameter setting of the fractional pathloss power control is valid for some scenarios, however, it is a challenging issue to improve the cell edge throughput in the complex environment, especially the mix of indoor and outdoor UE scenario. This paper proposes a novel interference based power control mechanism. The key is to estimate the interference generated by UEs to other cells. Simulation results show that the proposed mechanism can effectively improve the throughput for UEs with high pathloss. In addition, the proposed mechanism can also reduce the interference from other UEs with low pathloss.

[1]  William Webb Wireless Communications: The Future , 2007 .

[2]  Yue Chen,et al.  Priority-based resource allocation to Guarantee Handover and Mitigate Interference for OFDMA system , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[3]  Anja Klein,et al.  Optimizing the Radio Network Parameters of the Long Term Evolution System Using Taguchi's Method , 2011, IEEE Transactions on Vehicular Technology.

[4]  Erik Dahlman,et al.  4G: LTE/LTE-Advanced for Mobile Broadband , 2011 .

[5]  Haitham S. Cruickshank,et al.  A routing framework for Delay Tolerant Networks based on encounter angle , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[6]  Yue Gao,et al.  A self-optimizing load balancing scheme for fixed relay cellular networks , 2011 .

[7]  Yue Chen,et al.  User Relay Assisted Traffic Shifting in LTE-Advanced Systems , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[8]  Meixia Tao,et al.  Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services , 2014, IEEE Transactions on Communications.

[9]  Yu Liu,et al.  Mobility load balancing aware radio resource allocation scheme for LTE-Advanced cellular networks , 2015, 2015 IEEE 16th International Conference on Communication Technology (ICCT).

[10]  Chunxiao Jiang,et al.  Cooperative interference mitigation and handover management for heterogeneous cloud small cell networks , 2015, IEEE Wireless Communications.

[11]  Yue Cao,et al.  A reservation based charging management for on-the-move EV under mobility uncertainty , 2015, 2015 IEEE Online Conference on Green Communications (OnlineGreenComm).

[12]  Haitham S. Cruickshank,et al.  Geographic-Based Spray-and-Relay (GSaR): An Efficient Routing Scheme for DTNs , 2015, IEEE Transactions on Vehicular Technology.

[13]  Hsiao-Hwa Chen,et al.  Interference-Limited Resource Optimization in Cognitive Femtocells With Fairness and Imperfect Spectrum Sensing , 2016, IEEE Transactions on Vehicular Technology.

[14]  Jie Gao,et al.  WCDMA data based LTE site selection scheme in LTE deployment , 2016 .

[15]  Yansha Deng,et al.  K-tier heterogeneous cellular networks with wireless power transfer , 2016, 2016 IEEE International Conference on Communications (ICC).