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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Leroux, P. Callard, A. Ngoc-Dung Dao Stephenne, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Ottawa R&D Wireless Res., Huawei Technol. Canada Co. Ltd., Kanata, ON, Canada (Leroux, P.; Callard, A.; Ngoc-Dung Dao; Stephenne, A.) |
| Abstract | We explore the effect of imperfect knowledge on multipoint downlink traffic engineering (TE) (with dynamic point selection DPS) computed centrally and jointly with power control (PC) optimization versus distributed PC techniques. Instead of considering a single metric that shows qualities in a single dimension, we observe both performance and resilience by observing how many users get quality of experience (QoE) - or otherwise, how many users would complain that they do not receive the expected service. We identify that centralized traffic engineering provides the best performance (highest class of service) with distributed power control in a practical (imperfect) network. Although this has a clear drawback as it comes with a low resilience in face of bad service admission. We conclude that fifth generation networks will need to be able to dynamically change optimizing strategies to face different loading of the networks. |
| Starting Page | 995 |
| Ending Page | 999 |
| File Size | 609517 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479984060 |
| DOI | 10.1109/WCNC.2015.7127605 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power control Conferences Optimization Interference Algorithm design and analysis Wireless networks Resilience interference shaping 5G software-defined network dynamic cell selection traffic-engineering power control self-organized network (SON) |
| Content Type | Text |
| Resource Type | Article |
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