Femtocell downlink power control algorithm in long term evolution

2013 ◽  
Vol 33 (6) ◽  
pp. 1527-1530
Author(s):  
Shibing ZHU ◽  
Jie JIN ◽  
Hansong SU ◽  
Ya'nan CUI
2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sapta Nugraha

Abstract4G Long Term Evolution (LTE) has a standard for wireless communication with high-speed data access on cellular phones which have standard parameter i.e. power control. Power control is a method to avoid interference inter-users, as a result of power variations. Interference inter-users will cause performance limitations of the quality of service telecommunications operator. In this paper, we will design power control on the uplink channel based on the Signal to Interference Ratio (SIR) so that power level of mobile station (MS) are approximately equal. Simulation results show that power of MS can reach -7 dB, average time above 17 ms. The results of the SIR can order MS to equalize the SIR power levels transmitted by some MS with SIR reference value. Keywords: power control, uplink channel, SIR, mobile station Abstrak4G Long Term Evolution (LTE) memiliki standar komunikasi nirkabel akses data berkecepatan tinggi pada telepon seluler yang memiliki parameter standar yaitu kendali daya. Kendali daya merupakan metode untuk menghindari interferensi antar pengguna akibat variasi daya. Interferensi antar pengguna menyebabkan keterbatasan kinerja kualitas layanan operator telekomunikasi. Pada penelitian ini, akan dirancang kendali daya kanal uplink berdasarkan SIR agar daya mobile station (MS) mendekati sama. Hasil simulasi menunjukkan bahwa daya MS dapat mencapai -7 dB, rerata waktu di atas 17 ms. Hasil menunjukkan SIR dapat memerintahkan MS menyamakan daya yang ditransmisikan beberapa MS dengan nilai SIR referensi. Kata Kunci: kendali daya, kanal uplink, SIR, mobile station


2014 ◽  
Vol 556-562 ◽  
pp. 1766-1769 ◽  
Author(s):  
Lian Fen Huang ◽  
Bin Wen ◽  
Zhi Bin Gao ◽  
Hong Xiang Cai ◽  
Yu Jie Li

Femtocell is introduced to improve indoor coverage, which is beneficial for both users and operators. But it will also inevitably produce interference management issues in the heterogeneous network which consists of femtocells and macrocells. In this paper, a decentralized Q-learning-based power control strategy is proposed, comparing with homogenous power allocation and smart power control (SPC) algorithm. Simulation results have shown that Q-learning-based power control algorithm can implement the compromise of capacity between macrocells and femtocells, and greatly enhance energy efficiency of the whole network.


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