Intercell Interference Coordination in OFDMA Networks and in the 3GPP Long Term Evolution System

2009 ◽  
Vol 4 (7) ◽  
Author(s):  
Gábor Fodor ◽  
Chrysostomos Koutsimanis ◽  
András Rácz ◽  
Norbert Reider ◽  
Arne Simonsson ◽  
...  
Keyword(s):  
Long Term Evolution ◽  
Evolution System ◽  
Interference Coordination ◽  
Intercell Interference ◽  
Term Evolution ◽  
3Gpp Long Term Evolution ◽  
Ofdma Networks

scholarly journals A Reinforcement Learning Based Intercell Interference Coordination in LTE Networks

2019 ◽  
Vol 11 (1) ◽  
pp. 19 ◽  
Author(s):  
Djorwé Témoa ◽  
Anna Förster ◽  
Kolyang ◽  
Serge Doka Yamigno
Keyword(s):  
Reinforcement Learning ◽  
Long Term Evolution ◽  
Service Improvement ◽  
Interference Coordination ◽  
Lte Networks ◽  
Intercell Interference ◽  
Term Evolution ◽  
Joint Resource Allocation

Long Term Evolution networks, which are cellular networks, are subject to many impairments due to the nature of the transmission channel used, i.e. the air. Intercell interference is the main impairment faced by Long Term Evolution networks as it uses frequency reuse one scheme, where the whole bandwidth is used in each cell. In this paper, we propose a full dynamic intercell interference coordination scheme with no bandwidth partitioning for downlink Long Term Evolution networks. We use a reinforcement learning approach. The proposed scheme is a joint resource allocation and power allocation scheme and its purpose is to minimize intercell interference in Long Term Evolution networks. Performances of proposed scheme shows quality of service improvement in terms of SINR, packet loss and delay compared to other algorithms.

An Improved Channel Estimation Method for LTE Uplink

2012 ◽  
Vol 433-440 ◽  
pp. 3847-3851
Author(s):  
Zhao Hua Zeng ◽  
Li Jun Xue ◽  
Qian Zhao
Keyword(s):  
Channel Estimation ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Long Term Evolution ◽  
Evolution System ◽  
Term Evolution ◽  
Air Interface ◽  
Increasing Demand ◽  
3Gpp Long Term Evolution

As users of the increasing demand for multimedia services, 3GPP long term evolution system proposed the Long Term Evolution, LTE. LTE is the most important improvements with a new air interface technology to provide users with higher peak rates. Accurate channel estimation is to ensure the transmission quality of LTE system and the key to its advantages. In pursuit of lower bit error rate (BER), this paper based on pilot signals TDD LTE system on the uplink channel estimation algorithm. Use LS algorithm, MMSE algorithm and svd algorithm. Based on these three improved svd algorithm, it gave the simulation results.

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