Name
Title | ||
|---|---|---|
Game Based Robust Power Allocation Strategy With Qos Guarantee In D2d Communication Network |
Abstract | ||
|---|---|---|
Device to device (D2D) communication, as a proximity communication technique that leverages the spatial- temporal locality of mobile data usage to achieve one to many simultaneous transmission, provides an effective solution for unloading heavy traffic. However, due to the sharing of spectrum resources, interference management has become a major challenge for D2D communication. In this paper, a game-based robust power allocation strategy with quality of service (QoS) guarantee is designed for D2D multicast network. A Stackelberg game is proposed to characterize the actions of the base station (BS) and D2D users (DUEs). In the game, the BS is seen as the leader, whereas the D2D users are followers. On the one hand, the purpose of BS is to maximize the leader's profit with the constraint of the maximum tolerable interference. On the other, the DUEs attempt to maximize the followers' profit in the network system while guaranteeing the QoS requirements for DUEs, which are modeled as probability constraints. Spectrum sharing is assumed among the cellular users (CUEs) and DUEs. Because of the dynamic characteristics of wireless channel, it is difficult and expensive to acquire accurate channel state information (CSI). On this account, the uncertain channel state information is considered in the formulated problem, and the probability threshold method is utilized to convert the uncertain constraints into tractable ones. Furthermore, a distributed algorithm to determine the optimal solutions is proposed, which significantly reduces the information exchanges. Finally, numerical results validate the performances of the proposed scheme in the aspects of convergence, utility of uses, and power consumption. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.comnet.2021.108130 | COMPUTER NETWORKS |
Keywords | DocType | Volume |
D2D communications, Game theory, Outage probability, Imperfect CSI, Robust optimization | Journal | 193 |
ISSN | Citations | PageRank |
1389-1286 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhixin Liu | 1 | 81 | 19.38 |
| Xiaopin Li | 2 | 0 | 0.68 |
| yazhou yuan | 3 | 4 | 7.17 |
| Yang Yi | 4 | 1 | 1.74 |
| Xinping Guan | 5 | 127 | 17.80 |