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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Belleschi, M. Fodor, G. Abrardo, A. |
| Copyright Year | 2011 |
| Description | Author affiliation: Ericsson Research, SE-164 80, Stockholm, Sweden (Fodor, G.) || Department of Information Engineering, University of Siena, Via Roma 56, 53100 Siena, Italy (Belleschi, M.; Abrardo, A.) |
| Abstract | Device-to-device (D2D) communications underlaying a cellular infrastructure has recently been proposed as a means of increasing the cellular capacity, improving the user throughput and extending the battery lifetime of user equipments by facilitating the reuse of spectrum resources between D2D and cellular links. In network assisted D2D communications, when two devices are in the proximity of each other, the network can not only help the devices to set the appropriate transmit power and schedule time and frequency resources but also to determine whether communication should take place via the direct D2D link (D2D mode) or via the cellular base station (cellular mode). In this paper we formulate the joint mode selection, scheduling and power control task as an optimization problem that we first solve assuming the availability of a central entity. We also propose a distributed suboptimal joint mode selection and resource allocation scheme that we benchmark with respect to the centralized optimal solution. We find that the distributed scheme performs close to the optimal scheme both in terms of resource efficiency and user fairness. |
| Starting Page | 358 |
| Ending Page | 362 |
| File Size | 331187 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467300391 |
| e-ISBN | 9781467300407 |
| e-ISBN | 9781467300384 |
| DOI | 10.1109/GLOCOMW.2011.6162471 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power demand OFDM Interference Resource management Doppler effect Optimization Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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