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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xinning Zhu Jiachuan Huo Xiaoxi Xu Chunxiu Xu Wei Ding |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Continuing Educ., Beijing Univ. of Posts & Telecommun., Beijing (Xinning Zhu) |
| Abstract | For IEEE 802.16 broadband wireless access (BWA) system, the support of QoS is of prime importance for providing various traffic profiles in wireless links. Scheduling and resource allocation play the key roles in providing QoS as well as making better use of limited radio resources. This paper proposes an efficient scheduling algorithm for IEEE 802.16 OFDMA system with adaptive allocation of time-frequency resources. We utilize a user and connection based scheme to offer more efficient and QoS-guaranteed performance. The users' signal-to-noise ratio (SNR) on subchannels and their distribution characteristics are also taken into consideration. A new allocation scheme based on maximum deviation channel first (MDCF) is proposed to use the resources more efficiently. The fundamental of allocation scheme is to satisfy the QoS requirements of users as much as possible first, and to maximize system throughput thereafter. The simulation results show that the proposed scheduling and resource allocation algorithm can provide diverse QoS guarantees and use resources efficiently. |
| Starting Page | 3463 |
| Ending Page | 3468 |
| File Size | 196286 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424420759 |
| DOI | 10.1109/ICC.2008.651 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Scheduling algorithm Quality of service Time frequency analysis Processor scheduling Telecommunication traffic Signal to noise ratio Throughput System performance Communications Society |
| Content Type | Text |
| Resource Type | Article |
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