Back to Search
Start Over
A Resource Allocation Scheme with Fractional Frequency Reuse in Multi-cell OFDMA Systems
- Source :
- Wireless Personal Communications. 101:2009-2027
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- In this paper, a resource allocation scheme is proposed for multi-cell OFDMA systems in downlink under the fractional frequency reuse environments. The objective considers balancing between the maximization of the system throughput and the satisfaction of the user’s data rate requirement. Due to the severe co-channel interference for cellular networks with full frequency reuse, a dynamic fractional frequency reuse scheme is adopted in the cellular network which divides all subcarriers in each cell into two groups: a super group and a regular group. The dynamic fractional frequency reuse scheme can guarantee the intra-cell orthogonality and reduce the inter-cell interference. Therefore, the procedure of the proposed resource allocation scheme includes two main parts: frequency partition and subcarrier allocation. First, each subcarrier is assigned to either the super group or the regular group based on designed functions in all cells. Second, we allocate subcarriers to users by utilizing the designed functions. The designed functions are developed based on the proportional fairness scheduling, the logarithm transformation, and the Lagrangian technique. The designed function is coupled with the instantaneous data rate, the average data rate, and the data rate requirement. Simulation results show that the proposed scheme provides a higher system throughput and improves the outage probability compared with existing schemes.
- Subjects :
- Mathematical optimization
Computer science
Orthogonal frequency-division multiple access
020206 networking & telecommunications
Throughput
02 engineering and technology
Subcarrier
Frequency reuse
Computer Science Applications
Scheduling (computing)
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Resource allocation
020201 artificial intelligence & image processing
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 1572834X and 09296212
- Volume :
- 101
- Database :
- OpenAIRE
- Journal :
- Wireless Personal Communications
- Accession number :
- edsair.doi...........d3c66762e60c4369c6879dc076505c58
- Full Text :
- https://doi.org/10.1007/s11277-018-5803-5