Name
Abstract | ||
|---|---|---|
This paper investigates the utility maximization problem for cooperative users in the uplink of the 5G heterogeneous network. The paper considers the social ties between users who form communities on the network and the rationality behind their sharing of resources. Although there is a key assumption that users with social ties are viewed as being altruistic, some can act selfishly to improve their utility regardless of the interference they cause on the network. In this paper, the optimization problem is formulated as a non-cooperative game that guarantees the QoS of user applications within communities. Consequently, we propose a community-aware resource allocation with interference pricing algorithm as a way to mitigate the interference caused by selfish users on the network. To gauge the efficiency and robustness of our proposed algorithm, it is compared to other existing algorithms. Numerical results show that ours achieves better performance in terms of utility and fairness. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ANTS47819.2019.9117987 | 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) |
Keywords | DocType | ISSN |
Community-aware,resource allocation,Interference pricing,Non-cooperative game | Conference | 2153-1676 |
ISBN | Citations | PageRank |
978-1-7281-3716-2 | 0 | 0.34 |
References | Authors | |
10 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen Ekwe | 1 | 0 | 0.34 |
| Neco Ventura | 2 | 124 | 25.86 |