Joint Interference Alignment and Power Allocation Based on Stackelberg Game in Device-to-Device Communications Underlying Cellular Networks

Abstract

As a promising wireless communication technique, Device-to-Device (D2D) can improve the utilization of spectrum resources, overall system throughput and reduce end-to-end delay, energy consumption by exploiting the direct radio link between local devices. Meanwhile, introducing D2D in cellular networks is very challenging due to the complex interference problem. To deal with the complex interference of D2D Underlying Cellular Networks, Interference alignment (IA) as an efficient interference management technique is extensively studied for D2D communications underlaying the cellular networks. However, most of the previous researches on IA only consider the equal power allocation for users, which leads to suboptimal overall system throughput. In order to further improve the system performance, in this paper, we propose a joint power allocation based on stackelberg game and interference alignment algorithm (STPA-IA) to eliminate the complex interference in D2D communications underlaying cellular networks. In this joint approach, the base station (BS) is modeled as the leader while the D2D pairs are followers. The performance of network system and that of D2D users are regarded as the revenues of leader and followers in stackelberg game. The strategy of the leader (BS) is to get the maximum benefits by reducing the interference, while the followers tend to (D2D pairs) maximize their own utility according to leader's strategy. The non-cooperative game is proved to get the nash equilibrium by the above strategies. Moreover, the close-form expression of the allocated power by maximum the unity function of leader and followers is derived. Extensive simulation results demonstrate that the proposed algorithm outperforms previous works in terms of sum-rate with lower time complexity.

A Survey of Resource Management in D2D Communication for B5G Networks

“…Nevertheless, the network is restricted to a single base station and single cellular user. In [153], to decrease the interference of the D2D communication that coexists in a cellular network, the authors examine the complicated interference issue of D2D communication under a cellular network in a single cell uplink scenario. They propose a Stackelberg game-based interference alignment technique and power allocation to decrease the complex D2D…”

“…The techniques, advantages, and limitations of the current research are highlighted. In addition, the recent works are categorized based on the performance metrics that have been considered such as sum rate [151], [152], [153], [154], [155], network capacity [156], [157], [158], [159], and coverage probability [160], [161], [162] as explained in fig. 8.…”

Dynamic allocation of communication spectrum resources in high-speed rail automatic control system based on mobile edge computing

“…This scheme guarantees the data transmission rate of D2D users and avoids inter user interference. However, when there are no free channel resources, D2D users have to restart the channel detection process, which makes D2D users spend more time and consume a lot of battery power [7]when searching for new available channel resources.…”

Improving Quality of Service for Cell-Edge Users in D2D-Relay Networks

“…Yang et al propose an interference management scheme in in-band D2D cellular networks [16]. Stackelberg game is used in [17] to eliminate the complex interference in D2D underlay networks. The authors in [18] study the spectral efficiency for multi-hop D2D communications and propose a clustering mechanism to improve the performance of the system.…”