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Multi-User Multi-Service Rate Allocation Scheme Using Nash Bargaining Solution

机译:使用纳什讨价还价解决方案的多用户多服务费率分配方案

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How to allocate rate to users with multiple services efficiently and fairly is an important issue in the wireless network. To ensure the quality of service required by multiple services of a user, efficient resource management becomes paramount. On the other hand, the fairness between users is also necessary. In this paper, we propose a bandwidth allocation scheme named as Efficiency and Inter-user Fairness (EIF). In the EIF scheme, the well-known game theoretic concept of Nash bargaining solution is deployed to allocate the total network bandwidth to users fairly and dispatch rate from user to services efficiently by maximizing the user's utility. We also propose a distributed algorithm for implementing the convex optimization problem in the EIF scheme. Simulation results show that the EIF scheme outperforms the compared schemes in that it considers both the system efficiency and the user's fairness, while other schemes only maximizes the total utility of all of the services or considers the user's fairness.
机译:如何有效,公平地为具有多种服务的用户分配费率是无线网络中的重要问题。为了确保用户的多种服务所需的服务质量,有效的资源管理变得至关重要。另一方面,用户之间的公平也是必要的。在本文中,我们提出了一种称为效率和用户间公平性(EIF)的带宽分配方案。在EIF方案中,采用了著名的Nash议价解决方案的博弈论概念,即通过最大程度地利用用户的效用,将总网络带宽公平地分配给用户,并从用户到服务有效地分配速率。我们还提出了一种分布式算法,用于在EIF方案中实现凸优化问题。仿真结果表明,EIF方案在考虑系统效率和用户公平性的同时均优于同类方案,而其他方案仅最大化所有服务的总效用或考虑用户的公平性。

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