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Efficient and Distributed SINR-Based Joint Resource Allocation and Base Station Assignment in Wireless CDMA Networks

机译:无线CDMA网络中基于SINR的高效分布式联合资源分配和基站分配

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摘要

We formulate the resource allocation problem for the uplink in code division multiple access (CDMA) networks using a game theoretic framework, propose an efficient and distributed algorithm for a joint rate and power allocation, and show that the proposed algorithm converges to the unique Nash equilibrium (NE) of the game. Our choice for the utility function enables each user to adapt its transmit power and throughput to its channel. Due to users' selfish behavior, the output of the game (its NE) may not be a desirable one. To avoid such cases, we use pricing to control each user's behavior, and analytically show that similar to the no-pricing case, our pricing-based algorithm converges to the unique NE of the game, at which, each user achieves its target signal-to-interference-plus-noise ratio (SINR). We also extend our distributed resource allocation scheme to multi-cell environments for base station assignment. Simulation results confirm that our algorithm is computationally efficient and its signalling overhead is low. In particular, we will show that in addition to its ability to attain the required QoS of users, our scheme achieves better fairness in allocating resources and can significantly reduce transmit power as compared to existing schemes.
机译:我们使用博弈论的理论框架,为码分多址(CDMA)网络中的上行链路制定了资源分配问题,提出了一种有效的分布式联合速率和功率分配算法,并表明该算法收敛于唯一的纳什均衡(NE)的游戏。我们对效用功能的选择使每个用户都能根据其信道调整其发射功率和吞吐量。由于用户的自私行为,游戏(其NE)的输出可能不是理想的。为避免此类情况,我们使用定价来控制每个用户的行为,并通过分析表明与无定价情况类似,我们基于定价的算法会收敛到游戏的唯一网元,从而每个用户都可以实现其目标信号-干扰加噪声比(SINR)。我们还将分布式资源分配方案扩展到用于基站分配的多小区环境。仿真结果表明,该算法计算效率高,信令开销小。尤其是,我们将证明,与现有方案相比,我们的方案除了具有达到所需的用户QoS的能力之外,还可以更好地公平分配资源,并可以显着降低发射功率。

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