Abstract
This paper studies joint uplink (UL) and downlink (DL) resource allocation in user-centric orthogonal frequency division multiple access cloud radio access network (CRAN), where the users select the distributed remote radio heads (RRHs) to cooperatively serve their UL and DL transmissions over different subcarriers (SCs). The goal of this paper is to maximize the system throughput through jointly optimizing UL/DL scheduling, SC assignment, RRH grouping/clustering, and power allocation under the maximum power and fronthaul capacity constraints. The problem is formulated as a mixed integer programming problem, which is nonconvex and NP-hard. We propose an efficient algorithm based on the Lagrange duality method to obtain an asymptotically optimal solution for this problem. A heuristic algorithm is further proposed to reduce the complexity. Simulation results illustrate that the proposed heuristic algorithm also has a close-to-optimal performance, and the proposed algorithms can considerably improve the system throughput compared to other benchmark schemes.
| Original language | English |
|---|---|
| Article number | 2924437 |
| Pages (from-to) | 7776-7788 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 68 |
| Issue number | 8 |
| Early online date | 24 Jun 2019 |
| DOIs | |
| Publication status | Published - Aug 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Funding
This work was supported in part by the Natural Science Foundation of China under Grant U1701265 and in part by the Pearl River Science and Technology Nova Program of Guangzhou under Grant 201710010111. This paper was presented in part at the IEEE International Conference on Communications, Kansas City, MO, USA, May 2018. The review of this paper was coordinated by Dr. Y. Ma.
Keywords
- Cloud radio access network (CRAN)
- Orthogonal frequency division multiple access (OFDMA)
- Resource allocation