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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qian Li Zhiyong Feng Wei Li Gulliver, T.A. |
| Copyright Year | 2012 |
| Abstract | In this paper, adaptive user selection for opportunistic multicast scheduling (A-OMS) is proposed to improve cellular network throughput. Unlike previous solutions, the number of users selected in each transmission time interval (TTI) is not considered to be a constant. A statistical approximation of the system throughput matrix is employed to choose the number of users in each TTI. This matrix is constructed once before transmission begins, so the computational complexity is low. An optimization problem is formulated to obtain the optimal user time allocations. Both an exhaustive search and a suboptimal heuristic search are considered. Results are presented which show that the proposed approach provides better performance than existing schemes. |
| Starting Page | 26 |
| Ending Page | 29 |
| Page Count | 4 |
| File Size | 201022 |
| File Format | |
| ISSN | 21622337 |
| Volume Number | 3 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Throughput Wireless communication Adaptive systems Manganese Processor scheduling Signal to noise ratio Computational complexity cellular networks Opportunistic multicast scheduling adaptive user selection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy Control and Systems Engineering Electrical and Electronic Engineering |
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