DocumentCode :
2098131
Title :
Adaptive radio resource management for QoS optimization in Green long term evolution network
Author :
Pramudito, Wahyu ; Alsusa, Emad
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
6459
Lastpage :
6463
Abstract :
This paper proposes an adaptive radio resource management (RRM) algorithm based on self-organizing network (SON) and distance vector routing protocol (DVRP) strategy for power consumption reduction and quality of service (QoS) improvement in long term evolution (LTE) network. Using SON principle, the base stations downlink transmissions can be effectively organized to maximise interference avoidance. Combining with DVRP routing strategy for enhance resource allocation, it will be shown that the proposed strategy is capable to adaptively adjust the power consumption of the BS and support the increasing demand on QoS per user in LTE cellular network.
Keywords :
Long Term Evolution; cellular radio; interference suppression; mobility management (mobile radio); quality of service; resource allocation; routing protocols; BS; DVRP strategy; LTE cellular network; QoS optimization; RRM algorithm; SON principle; adaptive radio resource management algorithm; base stations; base stations downlink transmissions; distance vector routing protocol strategy; green long term evolution network; interference avoidance maximisation; power consumption reduction; quality of service improvement; resource allocation enhancement; self-organizing network; Interference; Power demand; Quality of service; Radio frequency; Resource management; Scattering; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6655646
Filename :
6655646
Link To Document :
بازگشت