The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To alleviate the pressure brought by the explosion of mobile video traffic on present cellular networks, small cell base stations (SBS) with caching ability are introduced. In this paper, we consider the caching strategy using network coding for mobile users over heterogeneous wireless network containing SBSs. We formulate an integer programming problem to minimize the average number of packets downloaded...
We investigate in this paper the assessment of the energy efficiency of a wireless access network per service category. We consider five categories of service, two categories with high traffic: streaming and web browsing, and three other with lower traffic: download, voice and other minor data services. We introduce two scenarios, one where some services are mandatory, it is typically the case of...
In this paper, we propose a maximum dispersion based approach for the problem of determining the feasibility of a set of single-hop rates in SINR model. Recent algorithmic work on capacity maximization has focused on maximizing the number of simultaneously scheduled links. We show that such an approach is not suitable for the problem. We present a polynomial time algorithm to determine the feasibility...
We study the problem of serving randomly arriving and delay-sensitive traffic over a multi-channel communication system with time-varying channel states and unknown statistics. This problem deviates from the classical exploration-exploitation setting in that the design and analysis must accommodate the dynamics of packet availability and urgency as well as the cost of each channel use at the time...
Mobile crowd sensing has found a variety of applications (e.g., spectrum sensing, environmental monitoring) by leveraging the "wisdom" of a potentially large crowd of mobile users. An important metric of a crowd sensing task is data accuracy, which relies on the qualities of the participating users' data (e.g., users' received SNRs for measuring a transmitter's transmit signal strength)...
We consider network utility maximization problems over heterogeneous cellular networks (HetNets) that permit dual connectivity. Dual connectivity (DC) is a feature that targets emerging practical HetNet deployments that will comprise of non-ideal (higher latency) connections between transmission nodes, and has been recently introduced to the LTE-Advanced standard. DC allows for a user to be simultaneously...
We introduce a new optimization framework, built over a discounted-rate metric, that captures the sensitivities of wireless users to time-variations in their fairness measure of rate allocations. The resulting, so-called, Discounted-Rate Utility Maximization (DRUM) formulation not only accommodates traditional long-term and less-explored instant fairness concepts in its extremes, but also encompasses...
The spread in the use of wireless services resulted in a remarkable growth of power consumption for telecommunication systems to satisfy the continuous growth of data demand. On the other hand, the emergence of smart grids and the expansion of low-cost distributed powering solutions represented an opportunity to enhance the energy efficiency and improve communication systems' costs. In this paper,...
Tactical networks are highly constrained in communication and computation resources, particularly at the edge. This limitation can be effectively addressed by the emerging technology of mobile micro-clouds (MMCs) that is aimed at providing seamless computing/data access at the edge of such networks. Deployment of MMCs can enable the delivery of critical, timely, and mission relevant situational awareness...
Network virtualization which will, inter alia, allow for dynamic network sharing, has turned into one of the most prominent solutions that can efficiently deal with the upcoming increase of data demand in mobile networks. In order to allow multiple virtual network operators to share the same substrate infrastructure, the need for the development of efficient virtual network embedding algorithms and...
In trying to meet the demands of traffic hungry users, mobile network operators are faced with increased CAPital EXpenditures (CAPEX) and OPerational EXpenditures (OPEX). The Self Organizing Network (SON) functions have been introduced by 3GPP as a means to cut down these costs. There are mainly 3 categories of such functions: self-configuration, self-optimization and self-healing. In this paper we...
We consider the problem of maximizing the alphafairness utility over the downlink of a heterogeneous wireless network (HetNet) by jointly optimizing the association of users to transmission points (TPs) and the activation fractions of all TPs. Activation fraction of each TP is the fraction of the frame duration for which it is active, and together these fractions influence the interference seen in...
In this paper, we consider the problem of online incentive mechanism design for smart-phone crowd-sourcing. We consider the online setting where users arrive in a sequence and each user participating in crowd-sourcing submits a set of tasks it can accomplish and its corresponding bid. The platform then selects the users and their payments to maximize its utility while ensuring truthfulness, individual...
Faced by the large number of deployed Wifi Access Points (AP), many research efforts focus on energy savings in Wireless Local Networks. One of the most promising solutions for improving energy efficiency is the Sleep Mode approach, which is especially effective in dense deployments. It is based on switching off the APs while they are not in use, in order to avoid unnecessary energy consumption. In...
Recently, spatial stochastic models based on deter-minantal point processes (DPP) are studied as promising models for analysis of cellular wireless networks. Indeed, the DPPs can express the repulsive nature of the macro base station (BS) configuration observed in a real cellular network and have many desirable mathematical properties to analyze the network performance. However, almost all the prior...
In cognitive radio networks, secondary users (SUs) may cooperate with the primary user (PU) in order to obtain more transmission opportunities and thus maximize their throughput. The synergy consists in the following: the SU opts to cooperate by using its own transmit power to improve the probability of successful transmission of the PU. By increasing the probability of successful packet transmission...
This paper treats power-aware throughput maximization in a multi-user file downloading system. Each user can receive a new file only after its previous file is finished. The file state processes for each user act as coupled Markov chains that form a generalized restless bandit system. First, an optimal algorithm is derived for the case of one user. The algorithm maximizes throughput subject to an...
With the dense deployment of femtocell, interference control is becoming a major challenge for resource management in femtocell networks. Most of the existing works focus on improving throughput or reducing the total power consumption respectively, neglecting the energy consumption. In this paper, we investigate energy efficiency aspect in a femtocell network and propose an interference-mitigation...
This paper proposes a Markov decision process (MDP) based base station management scheme that dynamically and collectively manages activation of a group of base stations depending on the time-varying traffic demand for power conservation in self-organization networks. Our MDP model is unique in a sense that it accurately captures the dynamics of handover traffic among neighboring cells, and it formulates...
This paper presents an approach for solving the resource allocation problem in heterogeneous networks (HETnets). An optimization model is formulated; its main objective is to achieve the best Quality of Service (QoS) measured by the Carrier to Interference Noise Ratio (CINR). This model is a quadratically constrained optimization problem with continuous and boolean variables. It is solved by an approximation...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.