Sequential Bargaining Game for Reuse of Radio Resources in D2D Communication in Dedicated Mode

2020 ◽  
Author(s):  
Mehyar Najla ◽  
Zdenek Becvar ◽  
Pavel Mach
Keyword(s):  
Bargaining Game ◽  
D2d Communication ◽  
Sequential Bargaining ◽  
Radio Resources ◽  
Sequential Bargaining Game

scholarly journals Trust and Trustworthiness in a Sequential Bargaining Game

2003 ◽  
Author(s):  
Ananish Chaudhuri ◽  
Sarah Ali Khan ◽  
Aishwarya Lakshmiratan ◽  
Anne-Laure Py ◽  
Lisa Shah
Keyword(s):  
Bargaining Game ◽  
Sequential Bargaining ◽  
Sequential Bargaining Game

scholarly journals Trust and trustworthiness in a sequential bargaining game

2003 ◽  
Vol 16 (5) ◽  
pp. 331-340 ◽  
Author(s):  
Ananish Chaudhuri ◽  
Sarah Ali Khan ◽  
Aishwarya Lakshmiratan ◽  
Anne-Laure Py ◽  
Lisa Shah
Keyword(s):  
Bargaining Game ◽  
Sequential Bargaining ◽  
Sequential Bargaining Game

ARE PREFERENTIAL TRADE AGREEMENTS STUMBLING BLOCKS?

2012 ◽  
Vol 57 (04) ◽  
pp. 1250030
Author(s):  
KORNKARUN CHEEWATRAKOOLPONG
Keyword(s):  
Building Blocks ◽  
Trade Agreements ◽  
Preferential Trade Agreements ◽  
Bargaining Game ◽  
Trading System ◽  
Preferential Trade ◽  
Sequential Bargaining ◽  
Multilateral Trading System ◽  
Sequential Bargaining Game

This paper studies the effect of preferential trade agreements (PTAs) on multilateral trading system using a sequential bargaining game. The study considers two formats of PTAs, i.e., when the PTA tariffs are specified before the formation of PTAs and when PTA members have to negotiate PTA tariffs after the formation of PTAs. The study finds that PTAs with specified tariffs can be building blocks to multilateral liberalization while PTAs without specified tariffs are stumbling blocks. The paper also concludes that PTAs can eliminate bargaining inefficiency called forward manipulation when PTA tariffs are specified before PTA negotiation.

Capacity Allocation in Vertically Integrated Railway Systems: A Rubinstein Sequential Bargaining Game Approach

2015 ◽  
Author(s):  
Ahmadreza Talebian ◽  
Bo Zou
Keyword(s):  
Capacity Allocation ◽  
Bargaining Game ◽  
Railway Systems ◽  
Passenger Demand ◽  
Passenger Rail ◽  
System A ◽  
Rail Line ◽  
Game Theoretic ◽  
Internal Transfer ◽  
Sequential Bargaining Game

The present paper proposes, for the first time, a game-theoretic bargaining based approach to allocating rail line capacity in the vertically integrated US rail system. A passenger rail agency (PRA) negotiates with a freight railroad (FRR) to obtain appropriate train paths. This market has specific features: FRR charges PRA a fee for access to the railroad; on the other hand, FRR compensates PRA for delayed services. In addition, by US Public Law 110-432 Amtrak passenger trains have priority over all freight trains. Passenger demand is elastic with respect to the service schedule convenience. With these features explicitly taken into account, a multi-step, game-theoretic bargaining model is put forward. We analytically solve this game and show that a schedule that maximizes the sum of utilities of PRA and FRR is the efficient one. We derive the equation yielding the net internal transfer between the two entities, and show that which player initiating the bargaining game does not change the equilibrium schedule, but alters the net internal transfer.

scholarly journals Perfomance Comparison of Genetic and Greedy Algorithms in Underlay Device-to-Device Communication

2020 ◽  
pp. 459-476
Author(s):  
Salma Pratiwi ◽  
Arfianto Fahmi ◽  
Vinsensius Sigit Widhi Prabowo
Keyword(s):  
Genetic Algorithm ◽  
Energy Efficiency ◽  
Quality Of Service ◽  
Spectral Efficiency ◽  
Greedy Algorithms ◽  
D2d Communication ◽  
Superior Performance ◽  
Device To Device ◽  
Radio Resources

The number of cellular users (CU) continues to increase in Indonesia. This impacts a large network load for the number of devices connected to the main network so it will have an impact on the quality of service. Device-to-Device (D2D) communication as components for LTE-A technology enabling a direct wireless link between the CUs without routing the data via the evolved Node B (eNB) signal or the core network. The need for algorithm and power control used to allocate radio resources so it can get a good quality of service because of communications technology D2D. In this study, we analyze and compare the performance parameters of D2D communication systems, including system interference, system sum-rate, system spectral efficiency, total energy system, and system energy efficiency based on Genetic and Greedy Algorithms in allocating radio resources and controlling the power of users. The genetic algorithm works with three operators in allocating resource block (RB), including proportional selection, crossover, and mutation. This process is repeated many times to produce several generations so that the best allocation can be got. The genetic algorithm has a flexible number of D2D and cellular communications in several RBs, minimum signal to interference plus noise ratio (SINR) also considered for mobile communication in ensuring the quality of its services. Numerical evaluations demonstrate the superior performance of the Genetic Algorithm in terms of system power, energy efficiency, and interference mitigation. As repetition gets larger, the Genetic algorithm results in better spectral efficiency.

scholarly journals Energy Optimization Approach in a Relay-assisted D2D Communication

2021 ◽  
Author(s):  
Anouar BEN ABDENNOUR ◽  
Mohamed Ouwais Kabaou ◽  
Belgacem Chibani Rhaimi ◽  
Amel Ben Ali
Keyword(s):  
Energy Consumption ◽  
Energy Optimization ◽  
D2d Communication ◽  
Quality Of Services ◽  
Optimization Approach ◽  
Resources Management ◽  
Radio Resources

Abstract In this paper, we are interested in the problem of radio resources management in order to optimize energy consumption in a D2D communication. This aims being able to meet the needs of all users and therefore the establishment a Quality of Services (QoS). We will propose an approach whose objective is to manage not only overcoming interference situations in order to guarantee QoS but also optimizing the energy consumption of various devices in the D2D communication.

Radio Resource Allocation Algorithm Based on Bargaining Game Theory for LTE System

2014 ◽  
Vol 644-650 ◽  
pp. 1527-1530
Author(s):  
Han Yin ◽  
Duo Zhang
Keyword(s):  
Game Theory ◽  
Resource Allocation ◽  
Rapid Development ◽  
Bargaining Game ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Radio Resources ◽  
Bargaining Game Theory

With the rapid development of wireless communication technologies, users could get many kinds of services and applications now. And as the number of users and the amount of traffic are growing, the contradiction between the infinite demand of users and the finite radio resources is getting increasingly apparent. According to this situation, this paper propose a radio resource allocation algorithm based on bargaining game theory for fourth generation long term evolution (LTE) system, with which the network could balance the situations of users in different classes and enhance the utility of users. The simulation results show that the proposed algorithm could allocate the radio resources efficiently and provide users with higher utility.

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