Abstract
This paper studies joint uplink (UL) and downlink (DL) resource allocation in an orthogonal frequency- division multiple-access (OFDMA) based cloud radio access network (CRAN), where the distributed remote radio heads (RRHs) cooperatively serve the users' UL and DL transmission over different subcarriers (SCs). We aim to maximize the system throughput through jointly optimizing UL/DL scheduling, SC assignment, RRH selection and power allocation under the maximum power and fronthaul capacity constraints. We formulate the problem as a mixed integer programming problem which is nonconvex and NP-hard. We propose an optimal algorithm based on the Lagrange duality method to solve this problem. We also propose a suboptimal algorithm to further reduce the complexity. Simulation results illustrate that the proposed algorithms can considerably improve the system throughput compared to other benchmark schemes.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538631805 |
| ISBN (Print) | 9781538631812 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States Duration: 20 May 2018 → 24 May 2018 |
Publication series
| Name | IEEE International Conference on Communications |
|---|---|
| Volume | 2018-May |
| ISSN (Print) | 1550-3607 |
Conference
| Conference | 2018 IEEE International Conference on Communications, ICC 2018 |
|---|---|
| Country/Territory | United States |
| City | Kansas City |
| Period | 20/05/18 → 24/05/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
This paper was supported in part by the Natural Science Foundation of China under Grant 61771203 and Grant U1701265, and in part by the Pearl River Science and Technology Nova Program of Guangzhou under Grant 201710010111.