Cross-Layer Optimization for Multimedia Traffic in CDMA Cellular Networks

We consider the uplink transmission of multimedia services in a cellular network where multiple access is implemented by code division multiple access (CDMA) and the base station performs successive interference cancellation (SIC) to enhance performance. We propose a cross-layer optimization techniq...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2008-04, Vol.7 (4), p.1379-1388
Main Authors: Veronesi, D., Tomasin, S., Benvenuto, N.
Format: Article
Language:English
Subjects:
Access control
Access methods and protocols, osi model
Algorithms
Applied sciences
Base stations
Cellular
Cellular communication
Code Division Multiple Access
Equipments and installations
Exact sciences and technology
Interference cancellation
Land mobile radio cellular systems
Maximization
Media Access Protocol
Mobile radiocommunication systems
Multiaccess communication
Multimedia
Occupation
Operation, maintenance, reliability
Optimization
Physical layer
Quality of service
Radiocommunications
Silicon carbide
Studies
Systems, networks and services of telecommunications
Telecommunication traffic
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Throughput
Transmission and modulation (techniques and equipments)
Wireless networks
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Summary:We consider the uplink transmission of multimedia services in a cellular network where multiple access is implemented by code division multiple access (CDMA) and the base station performs successive interference cancellation (SIC) to enhance performance. We propose a cross-layer optimization technique that operates both at the physical layer, by selecting the detection order at the SIC receiver, and at the medium access control layer, by selecting the power/rate for each mobile terminal. The optimization objective is the maximization of the overall weighted network throughput with the satisfaction of the quality of service criteria for multimedia communications. The resulting problem turns out to be NP-complete and we resort to a discrete stochastic approximation (DSA) approach for its solution. Concerning DSA, an efficient implementation is proposed in order to reduce memory occupation and improve the convergence of the algorithm. In a UMTS cellular environment, numerical results show that the optimization provides a significant performance advantage over existing techniques at the cost of an increase of computational complexity and memory occupation.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2008.060960