A survey of converging solutions for heterogeneous mobile networks

Jo, Minho; Maksymyuk, Taras; Batista, Rodrigo L.; Maciel, Tarcísio F.; Almeida, André L. F. de; Klymash, Mykhailo

doi:10.1109/mwc.2014.7000972

Cited by 75 publications

(24 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Integrated mobile webs share unlicensed spectrum bands in cellulite networks, such as long-term evolution-advanced, by using cognitive radio technology. This network generates large volumes of data, compared to former mobile networks [3].…”

Section: B Mobile and Iot Datamentioning

confidence: 99%

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Song

Val

et al. 2017

IEEE Trans. Ind. Inf.

319

118

View full text Add to dashboard Cite

The term big data occurs more frequently now than ever before. A large number of field and subjects, ranging from everyday life to traditional research field (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation), involve big data problems. The popularizing of various types of network has diversifie types, issues, and solutions for big data more than ever be-fore. In this paper, we review recent research in data types, storage models, privacy, data security, analysis methods, and applications related to network big data. Finally, we summarize the challenges and development of big data to predict current and future trends.

show abstract

Section: B Mobile and Iot Datamentioning

confidence: 99%

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Song

Val

et al. 2017

IEEE Trans. Ind. Inf.

319

118

View full text Add to dashboard Cite

show abstract

“…In this system, the macro BS is equipped with transmitting antennas, each pico BS is equipped with transmitting antennas uniformly, and each UE is equipped with receive antennas uniformly. We assume that each UE receives d independent streams from its corresponding BS, and each pico BS exchanges only control messages, such as CSI [22], to the macro BS over the backhaul link. In OSG mode of HetNets, a CRE strategy [23] is utilized to extend the coverage area of pico BS as shown in Fig.…”

Section: System Modelmentioning

confidence: 99%

Interference Alignment Based Transceiver Design in OSG mode of HetNets

2015

KSII TIIS

View full text Add to dashboard Cite

This paper focuses on solving co-channel interference (CCI) issues arising in the open subscriber group (OSG) mode of heterogeneous networks (HetNets). Considering a general framework consisting of arbitrary number of picocells within a macro cell, where the inter-user interference (IUI) is the main CCI to macro user equipments (UEs), while the the inter-cell interference (ICI) is the major CCI to pico UEs. In this paper, three IA based transceiver design schemes are proposed. For macro cell, we uniformly use block diagonalization (BD) scheme to eliminate the IUI. And for picocells, three IA schemes are proposed to mitigate the ICI. The first scheme, named as zero forcing IA (ZF-IA) scheme, aligns the inter picocell interference onto an arbitrary sub-space of the cross-tier interference using ZF scheme. Considering the channel state information (CSI) of the desired channel of pico UEs, the second scheme, named as optimal desired sub-channel selected IA (ODC-IA) scheme, aligns the inter picocell interference onto a certain sub-space of the cross-tier interference, which guarantees the largest channel gain of the desired signal of pico UEs. The third IA scheme, named as maximum cross-tier interference selected IA (MI-IA) scheme, is designed for the system with less receive antennas. The inter picocell interference is aligned onto the space of the strongest cross-tier interference and only the interference on this space is nullified. The complexity analysis and simulations show that the proposed transceiver design schemes outperform the existing IA schemes in the OSG mode of HetNets, and the MI-IA scheme reduces the requirement of the receive antennas number with lower complexity.

show abstract

“…Oualhaj et al use coalitions games to make cache nodes cooperate as a coalition in order to deliver contents to destination as quickly as possible in [8]. In [9] an overview of converged mobile networks is provided. This method integrates several network resources into a single mobile network.…”

Section: Introductionmentioning

confidence: 99%

A Chinese Restaurant Game for Distributed Cooperative Caching in Small Cell Networks

2019

KSII TIIS

View full text Add to dashboard Cite

Wireless content caching in small cell networks has recently been considered as a promising way to alleviate the congestion of the backhaul in emerging heterogenous cellular network. However, how to select files which are cached in SBSs and how to make SBSs work together is an important issue for cooperative cache research for the propose of reducing file download time. In this paper, a Cooperative-Greedy strategy (CGS) among cache-enabled small base stations (SBSs) in small cell network is proposed, in order to minimize the download time of files. This problem is formulated as a Chinese restaurant game.Using this game model, we can configure file caching schemes based on file popularity and the spectrum resources allocated to several adjacent SBSs. Both the existence and uniquencess of a Nash equilibrium are proved. In the theoretical analysis section, SBSs cooperate with each other in order to cache popular files as many as possible near UEs. Simulation results show that the CGS scheme outperforms other schemes in terms of the file-download time.

show abstract

A survey of converging solutions for heterogeneous mobile networks

Cited by 75 publications

References 11 publications

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

Interference Alignment Based Transceiver Design in OSG mode of HetNets

A Chinese Restaurant Game for Distributed Cooperative Caching in Small Cell Networks

Contact Info

Product

Resources

About