| Title | Resource allocation based on clustering algorithm for hybrid device-to-device networks |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Ren, H., Jiang, F., Wang, H. |
| Conference Name | 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP) |
| Keywords | Algorithm design and analysis, clustering algorithm, Clustering algorithms, D2D communication, Device-to-device communication, Information Reuse, Interference, Manganese, pubcrawl, Resiliency, resource allocation, Resource management, security, Signal to noise ratio |
| Abstract | In order to improve the spectrum utilization rate of Device-to-Device (D2D) communication, we study the hybrid resource allocation problem, which allows both the resource reuse and resource dedicated mode to work simultaneously. Meanwhile, multiple D2D devices are permitted to share uplink cellular resources with some designated cellular user equipment (CUE). Combined with the transmission requirement of different users, the optimized resource allocation problem is built which is a NP-hard problem. A heuristic greedy throughput maximization (HGTM) based on clustering algorithm is then proposed to solve the above problem. Numerical results demonstrate that the proposed HGTM outperforms existing algorithms in the sum throughput, CUEs SINR performance and the number of accessed D2D deceives. |
| DOI | 10.1109/WCSP.2017.8171058 |
| Citation Key | ren_resource_2017 |
Resource allocation based on clustering algorithm for hybrid device-to-device networks