DocumentCode :
2950597
Title :
Cross-layer Optimization for LDPC-coded Multi-rate Multiuser Systems with QoS Constraints
Author :
Li, Kai ; Wang, Xiaodong
Author_Institution :
Columbia Univ., New York, NY
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
2874
Lastpage :
2878
Abstract :
In this paper, we propose a new multi-rate multiple-access wireless system implemented by variable spreading gain and chip-level random interleaving. Optimization across the physical and network layers in the uplink of such a system is also treated. A multi-criterion reinforcement learning (MCRL)-based adaptive call admission control (CAC) method is proposed which can easily handle multiple average QoS requirements
Keywords :
learning (artificial intelligence); multi-access systems; parity check codes; quality of service; radio networks; telecommunication computing; telecommunication congestion control; CAC; LDPC-code; QoS constraints; adaptive call admission control; chip-level random interleaving; cross-layer optimization; multicriterion reinforcement learning; multiple-access wireless system; multirate multiuser systems; network layers; AWGN; Call admission control; Constraint optimization; Demodulation; Gain; Interleaved codes; Learning; Multiaccess communication; Multiuser detection; Quality of service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.261665
Filename :
4036498
Link To Document :
بازگشت