An Evolutionary Game Theoretic Framework for Femtocell Radio Resource Management

Lin, Song; Ni, Wei; Tian, Hui; Liu, Ren Ping

doi:10.1109/twc.2015.2453170

Cited by 31 publications

(13 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors have assumed a homogeneous network. Second, we refer to EGs that provide distributed management of hierarchical mobile networks with small cells for either optimizing the usage of radio resources [123] [205] or taming interference [121] [206]. In [123] the authors study the spectral coexistence between a macrocell and Femtocells, using tools from evolutionary GT and RL.…”

Section: Evolutionary Gamesmentioning

confidence: 99%

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Moura

Hutchison

2019

IEEE Commun. Surv. Tutorials

183

108

View full text Add to dashboard Cite

Game Theory (GT) has been used with significant success to formulate, and either design or optimize, the operation of many representative communications and networking scenarios. The games in these scenarios involve, as usual, diverse players with conflicting goals. This paper primarily surveys the literature that has applied theoretical games to wireless networks, emphasizing use cases of upcoming Multi-Access Edge Computing (MEC). MEC is relatively new and offers cloud services at the network periphery, aiming to reduce service latency backhaul load, and enhance relevant operational aspects such as Quality of Experience or security. Our presentation of GT is focused on the major challenges imposed by MEC services over the wireless resources. The survey is divided into classical and evolutionary games. Then, our discussion proceeds to more specific aspects which have a considerable impact on the game's usefulness, namely: rational vs. evolving strategies, cooperation among players, available game information, the way the game is played (single turn, repeated), the game's model evaluation, and how the model results can be applied for both optimizing resource-constrained resources and balancing diverse trade-offs in real edge networking scenarios. Finally, we reflect on lessons learned, highlighting future trends and research directions for applying theoretical model games in upcoming MEC services, considering both network design issues and usage scenarios.

show abstract

Section: Evolutionary Gamesmentioning

confidence: 99%

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Moura

Hutchison

2019

IEEE Commun. Surv. Tutorials

183

108

View full text Add to dashboard Cite

show abstract

“…In this work, the practical fading effects, which include path loss, penetration loss and Rayleigh fading, are considered [23]. In this case, for a random sub-channel n ∈ N f , the channel gain experienced through the links of SUEs u f ∈ U f associated with SBS f ∈ F is given by:…”

Section: B Channel Modelmentioning

confidence: 99%

A Hierarchical Clustering Algorithm for Interference Management in Ultra-Dense Small Cell Networks

et al. 2020

View full text Add to dashboard Cite

Ultra-dense small cell networks (UD-SCNs) will be an integral part of next generation network (NGN). How to deal with serious interference is one of the important challenges in a UD-SCN. In this paper, the cooperative interference management problem for a UD-SCN is explored by allowing small cell base stations (SBSs) to collaborate with their neighbors. The proposed coalitional structure generation among SBSs can mitigate the co-tier interference within a coalition, thus improving the network capacity. Specifically, a cooperative scheme among the neighboring SBSs is formulated as a coalitional structure generation with characteristic forms. Furthermore, the relative sub-channel resources are allocated in the process of cluster generation. Compared with the existing SBS cooperative schemes, the novelty of the proposed SBS cooperation method, which uses a hierarchical clustering algorithm (SC-HCA) to compute the pairs of members, is demonstrated. The computation can enhance the efficiency of the proposed algorithm and is especially suitable for UD-SCN scenarios with tens and even hundreds of cells. The simulation results show that the proposed SC-HCA achieves a 422.13% system data rate improvement relative to that of the non-cooperative scheme in a UD-SCN scenario. INDEX TERMS Coalitional structure generation, hierarchical clustering, interference management, ultra-dense small cell networks.

show abstract

“…As previously mentioned, all SBSs are considered to be deployed indoors, that is, inside the enterprise premises. In this work, we consider practical fading effects, including path loss, penetration loss and Rayleigh fading . For a given sub‐channel n ∈ N f , the channel gain experienced over the link of the SUE units u f ∈ U f served by SBS f ∈ F is obtained using :

G_{f, u_{f}}^{()(, n)} = {italicPL}_{f, u_{f}} D_{f, u_{f}}^{- α} {italicRF}_{f, u_{f}}^{()(, n)},

where

{PL}_{f, u_{f}}

and

D_{f, u_{f}}

respectively denote the path loss coefficient and the distance from SBS f to one of its SUE units, u f , α is the path loss exponent, and

{RF}_{f, u_{f}}^{false(n false)}

denotes the Rayleigh fading from SBS f to one of its SUE units, u f , on sub‐channel n .…”

Section: System Modelmentioning

confidence: 99%

“…The N f sub-channels are the initial frequency resource of SBS f. As previously mentioned, all SBSs are considered to be deployed indoors, that is, inside the enterprise premises. In this work, we consider practical fading effects, including path loss, penetration loss and Rayleigh fading [30]. For a given sub-channel n 2 N f , the channel gain experienced over the link of the SUE units u f 2 U f served by SBS f 2 F is obtained using (1):…”

Section: System Modelmentioning

confidence: 99%

SDN-Based Hierarchical Agglomerative Clustering Algorithm for Interference Mitigation in Ultra-Dense Small Cell Networks

Yang¹,

Cao²,

Esmailpour³

et al. 2018

ETRI Journal

View full text Add to dashboard Cite

Ultra‐dense small cell networks (UD‐SCNs) have been identified as a promising scheme for next‐generation wireless networks capable of meeting the ever‐increasing demand for higher transmission rates and better quality of service. However, UD‐SCNs will inevitably suffer from severe interference among the small cell base stations, which will lower their spectral efficiency. In this paper, we propose a software‐defined networking (SDN)‐based hierarchical agglomerative clustering (SDN‐HAC) framework, which leverages SDN to centrally control all sub‐channels in the network, and decides on cluster merging using a similarity criterion based on a suitability function. We evaluate the proposed algorithm through simulation. The obtained results show that the proposed algorithm performs well and improves system payoff by 18.19% and 436.34% when compared with the traditional network architecture algorithms and non‐cooperative scenarios, respectively.

show abstract

An Evolutionary Game Theoretic Framework for Femtocell Radio Resource Management

Cited by 31 publications

References 31 publications

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

Game Theory for Multi-Access Edge Computing: Survey, Use Cases, and Future Trends

A Hierarchical Clustering Algorithm for Interference Management in Ultra-Dense Small Cell Networks

SDN-Based Hierarchical Agglomerative Clustering Algorithm for Interference Mitigation in Ultra-Dense Small Cell Networks

Contact Info

Product

Resources

About