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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yin Sun Xiaofeng Zhong Yunzhou Li Shidong Zhou Xibin Xu |
| Copyright Year | 2011 |
| Abstract | This paper studies a spectrum sharing scenario between an uplink cognitive relay network (CRN) and some nearby low power ad-hoc networks. In particular, the dynamic resource allocation of the CRN is analyzed, which aims to minimize the average interfering time with the ad-hoc networks subject to a minimal average uplink throughput constraint. A long term average rate formula is considered, which is achieved by a half-duplex decode-and-forward (DF) relay strategy with multi-channel transmissions. Both the source and relay are allowed to queue their data, by which they can adjust the transmission rates flexibly based on sensing and predicting the channel state and ad-hoc traffic. The dynamic resource allocation of the CRN is formulated as a non-convex stochastic optimization problem. By carefully analyzing the optimal transmission time scheduling, it is reduced to a stochastic convex optimization problem and solved by the dual optimization method. The signaling and computation processes are designed carefully to reduce the computations at the source (mobile terminal, MT). The time delay between spectrum sensing and the transmission period is quite short to guarantee the accuracy of ad-hoc traffic prediction. The key idea to achieve these benefits is making use of the analytical structure of the optimal solution. Numerical results are presented to show the benefits of our spectrum sharing strategy. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 257618 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612842325 |
| ISSN | 15503607 |
| e-ISBN | 9781612842332 |
| e-ISBN | 9781612842318 |
| DOI | 10.1109/icc.2011.5963491 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Relays Sensors Ad hoc networks Interference Real time systems Resource management Peer to peer computing |
| Content Type | Text |
| Resource Type | Article |
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