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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xu Kai Tao Xiaofeng Wang Ying Zhang Ping |
| Copyright Year | 2007 |
| Description | Author affiliation: Inst. of Wireless Technol. Innovation, Beijing Univ. of Posts & Telecommun. (Xu Kai; Tao Xiaofeng; Wang Ying; Zhang Ping) |
| Abstract | Orthogonal frequency division multiplexing (OFDM) is a very promising transmission technology for the beyond 3G (B3G) wireless communication system with orthogonal frequency division multiple access (OFDMA) as its major multiple access technology. And in the multi-cell scenario, the management of inter-cell interference has significant impact on the performance of the wireless network. This paper proposes an optimal and a sub-optimal inter-cell scheduling strategy both of which coordinate the transmission of interfering cells. In addition, the coordinated scheduling strategies are proposed to be implemented by an distributed and coordinated network architecture such as the radio on fiber (RoF) system. The utility function is used to balance the efficiency and fairness of wireless resource allocation. Simulation results show that, the proposed inter-cell scheduling strategy provides significant gain in fairness over the single-cell scheduling strategy which doesn't involve multi-cell coordination of transmission. |
| Starting Page | 3115 |
| Ending Page | 3119 |
| File Size | 249543 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424402662 |
| ISSN | 15502252 |
| DOI | 10.1109/VETECS.2007.638 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-22 |
| Publisher Place | Ireland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Scheduling algorithm Wireless networks OFDM Resource management Frequency conversion Interference Wireless communication Throughput Downlink Technological innovation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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