Distributed cross-layer resource allocation for statistical QoS provisioning in femtocell networks

Cen Lin, M. Tao, Gordon L. Stüber, Yuan Liu
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引用次数: 13

Abstract

In this paper, we study the cross layer design and optimization for delay quality-of-service (QoS) provisioning in spectrum sharing femtocell networks. Our goal is to find the optimal resource allocation policy to maximize the throughput for each femtocell user, addressing the co-channel interference problem in the physical layer and the individual statistical delay-QoS guarantee problem from the upper layers. The statistical delay-QoS requirement is characterized by the QoS exponent. By integrating the concept of effective capacity, the cross-layer optimization problem is formulated as an effective capacity maximization game. With partial dual decomposition, this game is solved through a hierarchical structure. Specifically, we derive the optimal power allocation policy for femtocell users and design a distributed algorithm to obtain the Nash Equilibrium (N.E.). Numerical results show that the proposed policy can efficiently improve the performance of the networks.
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本文研究了频谱共享飞蜂窝网络中时延服务质量(QoS)提供的跨层设计与优化。我们的目标是找到最优的资源分配策略,以最大限度地提高每个femtocell用户的吞吐量,解决物理层的同信道干扰问题和上层的单个统计延迟- qos保证问题。统计时延-QoS需求用QoS指数表示。通过整合有效容量的概念,将跨层优化问题表述为有效容量最大化博弈。采用部分对偶分解,采用层次结构求解。具体来说,我们推导了飞蜂窝用户的最优功率分配策略,并设计了一种分布式算法来获得纳什均衡。数值结果表明,该策略能有效地提高网络的性能。
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