Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory

Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization

Multi-controller Based Software-Defined Networking: A Survey

Software-Defined Networking (SDN) is a novel network paradigm that enables flexible management for networks. As the network size increases, the single centralized controller cannot meet the increasing demand for flow processing. Thus, the promising solution for SDN with large-scale networks is the multi-controller. In this paper, we present a compressive survey for multi-controller research in SDN. First, we introduce the overview of multi-controller, including the origin of multi-controller and its challenges. Then, we classify multi-controller research into four aspects (scalability, consistency, reliability, load balancing) depending on the process of implementing the multi-controller. Finally, we propose some relevant research issues to deal with in the future and conclude the multi-controller research

User Association in 5G Networks: A Survey and an Outlook

26 pages; accepted to appear in IEEE Communications Surveys and Tutorial

Access to Audio-visual Contents, Exclusivity and Anticommons in New Media Markets

Media markets are characterized by strong peculiarities that often call for longterm exclusivity contracts between content providers and distributors or for vertical or horizontal integration. This paper analyzes and compares the economic effects of existing alternative systems of access to valuable content for new media platforms, under the lens of technological convergence and 'network neutrality'. The analysis suggests the increasing need for a coordinated regulatory framework aimed at balancing costs and benefits of the different models in order to ensure that the development of new markets and new technologies in the age of media convergence is not hindered by "anticommons" tragedies.contents, new media, anticommons, antitrust.

A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions

The lack of resource constraints for edge servers makes it difficult to simultaneously perform a large number of Mobile Devices’ (MDs) requests. The Mobile Network Operator (MNO) must then select how to delegate MD queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit of admitted requests with varying latency needs. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligent (AI) can increase MNO performance because of their flexibility in deployment, high mobility of UAV, and efficiency of AI algorithms. There is a trade-off between the cost incurred by the MD and the profit received by the MNO. Intelligent computing offloading to UAV-enabled MEC, on the other hand, is a promising way to bridge the gap between MDs' limited processing resources, as well as the intelligent algorithms that are utilized for computation offloading in the UAV-MEC network and the high computing demands of upcoming applications. This study looks at some of the research on the benefits of computation offloading process in the UAV-MEC network, as well as the intelligent models that are utilized for computation offloading in the UAV-MEC network. In addition, this article examines several intelligent pricing techniques in different structures in the UAV-MEC network. Finally, this work highlights some important open research issues and future research directions of Artificial Intelligent (AI) in computation offloading and applying intelligent pricing strategies in the UAV-MEC network

Trade intermediaries, incomplete contracts, and the choice of export modes

The business literature suggests that exporters either use trade intermediaries or own foreign sales representations. Standard trade models are silent about this choice. We develop a model where producers differ with respect to competitive advantage and where trade intermediaries arise endogenously. Intermediaries allow producers to access a foreign market at lower fixed costs, but the lack of enforceable cross-country contracts reduces variable revenue. Producers select into different export modes along their characteristics. Relative prevalence of trade intermediation is stronger the bigger the risk of expropriation in the foreign country and the lower the severity of contractual frictions, the degree of heterogeneity amongst producers, and the elasticity of substitution between varieties. The volume of bilateral trade and the stock of FDI appear as complements in the model. Tentative empirical evidence confirms the main predictions. --International trade,trade intermediation,heterogeneous firms,incomplete contracts