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Efficient power control via pricing in wireless data networks

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Citations

22

References

2002

Year

TLDR

Efficient use of radio resources is critical in wireless systems, and power control—well studied for voice—must be adapted to meet the growing demand for data services. The authors aim to develop a game‑theoretic power‑control scheme for data networks that uses pricing to achieve Pareto‑improved user utilities. They model distributed power control as a noncooperative game where each terminal maximizes a QoS utility, and introduce a linear pricing function broadcast by the base station to enable a distributed implementation. The unpriced game converges to an inefficient Nash equilibrium, but adding the linear pricing improves performance, particularly in heavily loaded systems.

Abstract

A major challenge in the operation of wireless communications systems is the efficient use of radio resources. One important component of radio resource management is power control, which has been studied extensively in the context of voice communications. With the increasing demand for wireless data services, it is necessary to establish power control algorithms for information sources other than voice. We present a power control solution for wireless data in the analytical setting of a game theoretic framework. In this context, the quality of service (QoS) a wireless terminal receives is referred to as the utility and distributed power control is a noncooperative power control game where users maximize their utility. The outcome of the game results in a Nash (1951) equilibrium that is inefficient. We introduce pricing of transmit powers in order to obtain Pareto improvement of the noncooperative power control game, i.e., to obtain improvements in user utilities relative to the case with no pricing. Specifically, we consider a pricing function that is a linear function of the transmit power. The simplicity of the pricing function allows a distributed implementation where the price can be broadcast by the base station to all the terminals. We see that pricing is especially helpful in a heavily loaded system.

References

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