News-vendor game-based resource allocation scheme for next-generation C-RAN systems

Abstract

Recently, Cloud Radio Access Network (C-RAN) has been emerging as a cost-effective solution supporting huge volumes of mobile traffic in the big data era. C-RAN provides infrastructure layer services to mobile users by managing virtualized infrastructure resources. To exploit next-generation C-RAN operations, a main challenging issue is how to properly control system resources. In this study, we propose a novel resource management scheme for C-RAN systems. By employing the news-vendor game model, we investigate a resource allocation problem with bargaining solutions. In dynamic C-RAN environments, our game-based resource management approach can practically adapt current system conditions while maximizing the expected payoff. The main contribution of our study lies in the fact that we shed a new light on adaptive resource allocation policies for virtualized cloud environments. Simulation results demonstrate that our proposed scheme can obtain a considerably better system performance than other existing schemes.

Tradeoff between User Quality-Of-Experience and Service Provider Profit in 5G Cloud Radio Access Network

“…To address this, one article [9] employs the news-vendor game model for resource allocation. Here, the two-stage game-based resource management approach can practically adapt current system conditions.…”

“…In the literature, several mechanisms [12,13,16] basically focus on infrastructure development of CRAN architecture. Another noteworthy paper [6] addresses QoS-aware scheduling and based on the service provider profit [9] allocates resources for incoming requests. However, our proposed system makes a tradeoff between user QoE as well as service provider profit while utilizing resources efficiently.…”

“…However, our proposed system makes a tradeoff between user QoE as well as service provider profit while utilizing resources efficiently. [12] (Partially) VRAN-PAP [13] (Partially) Fluidnet [16] RRH Clustering [15] QoSM [6] NvG [9] QEPRA [Proposed] …”

“…Figure 1 shows the CRAN service architecture and its components. Resource allocation and the RRH-BBU mapping problem in 5G CRAN has been addressed in a number of research works in the literature [6][7][8][9]. However, focusing on the Quality-of-Service (QoS), Khan et al [6] developed a dynamic RRH-BBU mapping algorithm in CRAN architecture where the service provider's profit is not a focus of attention.…”

“…However, focusing on the Quality-of-Service (QoS), Khan et al [6] developed a dynamic RRH-BBU mapping algorithm in CRAN architecture where the service provider's profit is not a focus of attention. By employing the news-vendor game model, a resource allocation problem with a bargaining solution is investigated in [9] with the ability to reconfigure its resources with varying traffic conditions. This scheme requires additional time for resource reconfiguration, which can cause violation of QoS requirements.…”