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Abstract
Multiuser resource allocation for time/frequency slotted wireless communication systems is addressed. A framework for application driven cross-layer optimization (CLO) between the application (APP) layer and medium access control (MAC) layer is developed. The objective is to maximize the user-perceived quality by jointly optimizing the rate of the information bit-stream served by the APP layer and the adaptive resource assignment on the MAC layer. Assuming adaptive transmission with long-term channel state information at the transmitter (CSIT), we present a novel CLO algorithm that substantially reduces the amount of parameters to be exchanged between optimizer and layers. The proposed CLO framework supports user priorities where premium users perceive a superior service quality and have a higher chance to be served than ordinary users.
Highlights
With the high envisaged data rates of beyond 3rd generation (B3G) wireless communication systems [1, 2], multimedia broadband applications can be offered to mobile users
In B3G systems, this feature is exploited by the medium access control (MAC) layer to freely distribute the available bandwidth between users [6]
Provided channel state information at the transmitter (CSIT) is available, the number of transmitted information bits per slot can be adjusted to the channel conditions of a particular user
Summary
With the high envisaged data rates of beyond 3rd generation (B3G) wireless communication systems [1, 2], multimedia broadband applications can be offered to mobile users. For the multiuser resource allocation problem at hand, a global cross-layer optimization (CLO) problem is formulated: maximize the user-perceived quality by tuning the served data rate on the APP layer jointly with the adaptive resource assignment on the MAC layer. The optimum multiuser resource allocation supporting multiple applications is derived in closed form for the case of adaptive transmission with long-term CSIT, assuming a logarithmic relation between utility metric and data rate. For the special case where all users share the same application class, it turns out that the overall perceived quality is maximized when all users are allocated the same bandwidth, which corresponds to equal resource sharing This implies that users with good channel conditions transmit with higher rate and enjoy better QoS, as adaptive transmission is more bandwidth efficient in this case.
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