DocumentCode
1850834
Title
Adaptive OFDM multi-service resource allocation for power line communication
Author
Wang Lei ; Lu Jun ; Qian Mingxia
Author_Institution
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
Volume
2
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1406
Lastpage
1409
Abstract
To improve utilization rate of frequency resources and ensure QoS for different users and services, this paper proposed a mixed service resource allocation algorithm for power-line communication. Firstly the multi-user multi-service power line communication is modeled as multi-objective optimization based on OFDM resource allocation. Then the optimization allocation strategy implements priority to ensure the fixed rate for real-time user and the minimum rate for non-real-time user, considering the communication throughput. The proposed algorithm guarantees the requirements in both the fixed rate of real-time user and the minimum rate of non-real-time user at less resource costs, which maximizes the system communication capacity by allocating more resources to non-real-time user. Fairness among users is maintained by scheduling subcarriers based on overall channel conditions. The experiment results illustrate that the proposed method can ensure fairness among different users within different services and achieve better throughput performance.
Keywords
OFDM modulation; carrier transmission on power lines; quality of service; resource allocation; scheduling; OFDM resource allocation; QoS; adaptive OFDM multiservice resource allocation; communication throughput; frequency resources; mixed service resource allocation algorithm; multiobjective optimization; nonreal-time user; optimization allocation strategy; power line communication; real-time user; resource costs; scheduling subcarriers; system communication capacity; OFDM; multiservice; multiuser; power line communication; resource allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491839
Filename
6491839
Link To Document