Abstract
This paper studies resource allocation in a user-centric cloud radio access network (CRAN), where remote radio heads (RRHs) communicate with users using orthogonal frequency-division multiple-access (OFDMA). We aim to maximize the system throughput through joint RRH selection and SC allocation under fronthaul capacity constraints. We formulate the problem as a non-convex problem which is NP-hard. To solve this complex problem efficiently, we propose a near-optimal algorithm based on gradient method to achieve a suboptimal solution. Simulation results show that the proposed joint resource allocation scheme can attain significant throughput gains compared to other benchmark schemes.
| Original language | English |
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| Title of host publication | 2017 IEEE Global Communications Conference (GLOBECOM) - Proceedings |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Print) | 9781509050192 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore Duration: 4 Dec 2017 → 8 Dec 2017 |
Publication series
| Name | Proceedings - IEEE Global Communications Conference, GLOBECOM |
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| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISSN (Print) | 2334-0983 |
Conference
| Conference | 2017 IEEE Global Communications Conference, GLOBECOM 2017 |
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| Country/Territory | Singapore |
| City | Singapore |
| Period | 4/12/17 → 8/12/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
This paper was supported in part by the Natural Science Foundation of China under Grant 61401159 and Grant 61771203, and in part by the Pearl River Science and Technology Nova Program of Guangzhou under Grant 201710010111.