DocumentCode :
2820372
Title :
An adaptive subchannel allocation algorithm for OFDM-based wireless home networks
Author :
Zhu, Jian ; Bing, Benny ; Ye Geoffrey Li ; Xu, Jun
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2004
fDate :
5-8 Jan. 2004
Firstpage :
352
Lastpage :
356
Abstract :
We present a novel, adaptive subchannel allocation algorithm for the downlink channel of a multiuser, OFDM-based wireless home network. Since channel resources are not adaptively allocated in a traditional OFDM system, some of the users with fixed frequency channel allocation may experience deep fading in a frequency-selective multipath environment. This problem can be mitigated using an adaptive algorithm, which can be modeled as an optimization problem that allocates the proper number of subchannels to achieve maximum channel capacity. We employ the classical bipartite matching algorithm to achieve optimal OFDM subchannel allocation. Simulation results show that the total capacity increases remarkably, and that higher channel capacity is achieved when the number of users is increased. In a wireless environment, the reallocation overhead can be large. As such, we propose a hybrid method for subchannel allocation to support more users while reducing the reallocation overhead. We simulated the performance of the hybrid algorithm and compared it with the matching-only algorithm.
Keywords :
OFDM modulation; channel allocation; channel capacity; fading channels; indoor radio; multipath channels; multiuser channels; optimisation; OFDM; adaptive algorithm; adaptive subchannel allocation algorithm; bipartite matching algorithm; channel capacity; downlink channel; frequency-selective multipath environment; multiuser channels; optimization problem; reallocation overhead; wireless home networks; Bandwidth; Communication system traffic control; Computer networks; Delay; Fading; Frequency response; Home automation; OFDM; Quality of service; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference, 2004. CCNC 2004. First IEEE
Conference_Location :
Las Vegas, NV, USA
Print_ISBN :
0-7803-8145-9
Type :
conf
DOI :
10.1109/CCNC.2004.1286886
Filename :
1286886
Link To Document :
بازگشت