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We consider secret-key generation between several agents and a base station that observe independent and identically distributed (i.i.d.) realizations of correlated random variables. Each agent wishes to generate the longest possible individual key with the base station by means of public communication. All keys must be jointly kept secret from all external entities. We do not require them to be kept...
Due to the dramatic growth of mobile data traffics, small cell network concept has been considered as a promising technique for mobile data offloading and enhancing spectrum utilization in the Long Term Evolution (LTE)-Advanced networks. Small cell networks allow the user equipment (UE) to transmit data through small cells instead of using only macro cells by reusing the same radio spectrum of the...
Heterogeneous deployment of base stations with different transmit power levels helps increase the network efficiency. Yet, the allocation of powers to base stations should be optimal in order to minimize interferences and thus improve users through-put. In this paper, we present a game theoretical approach to maximize the overall throughput in heterogeneous networks with optimal power allocation....
Fourth generation technology will offer many impressive network capabilities with new level of user application like high end video, game etc. Quality of service is the one of major component and fundamental framework of a 4G broadband wireless network for desired delivery of service in evolving Internet applications to end users, and managing the network resources. A flexible quality of service (QoS)...
As a kind of time-continuous dynamic games, differential games are paid more attention in recent years. In this paper, we utilize differential game methods to allocate appropriate signal to interference plus noise ratio (SINR) to all users in user-centric networks whose aim is to maximize benefits of users. Specifically, a utility function that takes into accounts both throughput efficiencies and...
LTE network planning mainly contains two contents: base stations' position and their power allocation. Traffic search method is used to determine base station position and initial power. For the base station power allocation, we induce the game theory. To avoid the non-cooperate game theory's shortcome, we consider the cooperation game theory, namely, base stations can exchange a few information....
To explore the benefit of Coordinated Multiple Point transmission/reception (CoMP) will reduce the exchange overhead between the cells, a distributed Rubinstein-Stahl Bargaining based Power Allocation (DBPA) scheme is proposed in this paper. The introduced scheme can provide a possible solution to share the increased benefits, which are obtained at a serving cell when a slaving cell joins to coordinated...
We integrate the effective capacity theory and game-theoretic approach to develop quality-of-service (QoS) driven power-allocation schemes in fading multiple-access channels (MAC). The effective capacity characterizes the capability of the wireless channels to support data transmission subject to the statistical delay QoS constraints, and the game-theoretic approach can efficiently handle the selfish...
In this paper, we study the problem of bandwidth allocation in wireless networks using two different approaches. More specifically, we apply the principles of cooperative game theory, such as Nash bargaining and three basic division rules of bankruptcy problems in order to find the optimal solution of the bandwidth allocation problem. The proposed schemes are compared in terms of fairness and of the...
Cognitive radio (CR) is proposed to improve frequency efficiency while avoiding interference with licensed users. In this paper, we adopt a resource allocation (RA) algorithm to perform uplink frequency allocation and power control between noncooperative multi-cell for CR network. The proposed RA algorithm is an extension of iterative water-filling algorithm (IWFA) applied to single-cell. The maximization...
We address the allocation of subcarriers, bits and power among the base stations (BSs) of downlink multi-cell OFDMA systems using the non-cooperative game theoretic approach. The utility function of a player is defined as the difference between the revenue generated from transmitting the bits and the cost of the power consumed. Unlike the commonly adopted water-filling approach where continuous bit...
We consider a downlink resource allocation problem for two systems or cells each consisting of a base station and multiple mobile stations. Each cell operates on a protected band for exclusive use and a band shared with the other cell. On simultaneous transmission in the shared band, the two systems disturb one another with interference. The strategies of the systems are their choices of power allocations...
The Cognitive Radio approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper investigates how the adoption of a cognitive radio strategy can help in the coexistence problem of two wireless networks operating on the same spectrum of frequencies. A DVB-SH based satellite...
We study the resource allocation problem in orthogonal frequency division multiplexing (OFDM) systems as a cooperative game. The goal is to maximize the overall system rate considering fairness metrics among users. We propose Nash bargaining solution (NBS) as a tool that achieves point(s) on the Pareto frontier of the game theoretical rate region under asymmetric conditions. Moreover, we provide a...
In this paper, the performance of user fairness of resource allocation is considered in the downlink of relay-based OFDMA cellular systems. In the downlink transparent frame structure, the base stations (BSs) transmit in the first time subslot and the relay stations (RSs) transmit in the second time subslot. A non-cooperative power allocation game is defined for maximizing throughput and reducing...
This paper considers distributed protocol design for joint sub-carrier, transmission scheduling and power management in uplink/downlink multi-cellular OFDMA wireless networks. The optimal solution to this problem is hard to achieve, both in theory and in practice. We propose a fully decentralized resource allocation scheme combining decomposition methods for convex optimization with a strategic non-cooperative...
This paper addresses the adaptive allocation of subcarrier, bit and power resources in the downlink of multicell OFDMA systems, where base stations allocate radio resources in a decentralized manner. Our algorithm uses discrete bit-loading values which is more applicable to the practical systems. Noncooperative game theoretic approach is adopted and we first only include the transmit power and throughput...
Future wireless packet switched cellular networks will require dense frequency reuse to achieve high capacity. At the same time, measures are required which limit the interference on the frequency carriers. It is assumed that central entities performing the task of interference coordination with global knowledge should be avoided. Rather, distributed algorithms are sought for. To this end, we propose...
In this letter, we focus on a subcarrier and power allocation scheme in uplink OFDMA systems, where each user has not only the different power constraints, but also was limited by the different rates. A subcarrier and power allocation algorithm is proposed. In this algorithm, the subcarrier allocation is based on the normalized channel gain, and the power allocation is based on the pricing function,...
We consider a dynamic spectrum access scenario in which transmission opportunities are allocated to users based on a second price, sealed bid auction. Each user experiences a time-varying channel and submits a bid for transmission right in each time slot. A base station collects bids from all users and allocates the channel to a user with the highest bid, who then pays the price equal the second highest...
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