The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 53-384
Full Name: Indumathi G
Position: Professor
Age: ON
Sex: Female
Address: Mepco Schlenk Engineering College
Country: INDIA
Tel: 0 94438 67990
Tel prefix: 0 04562 235403
Fax:
E-mail address: indumathiraghavan@yahoo.com
Other E-mails: indupriyanga@gmail.com
Title of the Paper: User Based Resource Scheduling for Heterogeneous Traffic in the Downlink of OFDM Systems
Authors as they appear in the Paper: Indumathi .G, Vijyarani .S, Murugesan . K
Email addresses of all the authors: indumathiraghavan@yahoo.com, sdvijayarani@gmail.com
Number of paper pages: 10
Abstract: Besides avoiding inter-symbol interference and leading to high capacity, wireless Orthogonal Frequency Division Multiplexing (OFDM) provide fine granularity for resource allocation since they are capable of dynamically assigning sub-carriers to multiple users and adaptively allocating transmit power. The current dominate layered networking architecture, in which each layer is designed and operated independently, results in inefficient and inflexible resource use in wireless networks due to the nature of the wireless medium, such as time-varying channel fading. Thus, we need an integrated adaptive design across different layers. In this paper, we focus on resource allocation and scheduling in wireless OFDM networks based on joint physical and medium access control (MAC) layer optimization. An adaptive cross-layer design for the downlink multiuser OFDM systems, to maximize the weighted sum capacity of all users, where each user has multiple heterogeneous traffic queu!
es simultaneously is proposed. A User Based Resource (UBR) scheduling scheme is employed at the MAC layer, which determines the packet transmission order by assigning different weights to different packets, and is shown by simulations more efficient than the previous methods where all packets in a queue have the same weight. The weight design in UBR scheduling considers the delay, size and quality of service (QoS) priority level of packets. Each user weight employed in resource allocation at the physical (PHY) layer is obtained by summing up the weights of selected packets for the user. We also deeply investigate the various resource scheduling schemes for comparisons
Keywords: Cross-layer design, quality of service, packet scheduling, orthogonal frequency division multiplexing systems
EXTENSION of the file: .doc
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How Did you learn about congress: Signal Processing for Wireless Communication.,Physical Layer,Narrow band and Broad band Networks,Queuing Theory and Communications,Computer/Communications Integration
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