On Fair and Efficient Power Control in CDMA Wireless Data Networks

Abstract

Abstract-We consider the uplink power control problem in a single cell, multi-user, CDMA wireless data system and formulate it as a cooperative game. We use the Nash bargaining solution concept, in order to determine the socially optimum solution, which is both Pareto efficient and fair. In our formulation, the BS plays the role of the arbitrator, i.e., solves the power control problem, and broadcasts the relevant information to all users in order to enforce convergence to the optimal operating point. The comparison of the cooperative scheme to the non-cooperative scheme shows significant reduction in the transmission power of the mobile terminals.

Logistic Modeling for Optimal Resource Allocation in Network Assisted Power Control

“…It has already been shown that the solution to 3 results in a social optimum operating point [1], however we improve on that work by finding the generalized conditions that the solutions must satisfy in addition to an alternative proof of Pareto Optimality.…”

“…Various algorithms have been considered to reach this operating point, however their convergence depends on various parameters, one of which being the incremental step size of the tax. The authors in [7] presented a possible solution to the problem and while [1] presents a proof of it's optimality, it is directed solely at a very specific modulation. Should the modulation technique or error detection/correction scheme change, the proof is no longer applicable.…”

“…There are some fundamental properties to this function that have been exploited and may be found in [19]. Many have focused on a specific instantiation of the frame success function [1,8,15,23], while others have not [26,27,28,29], preferring to work with the rate capacity instead. Recent papers have considered arbitrary utility functions that are not necessarily social optimums since the sum of the utilities aren't weighted.…”

A Power Control Based Admission Algorithm for Maximizing Throughput in a CDMA Network

“…Some papers maximize over a utility function, where the objective is to have the users achieve an optimal result in a non-centralized manner [1,2,10,11,13,15,19,21,23,24,33,39], while others optimize over a cost function that may be constrained to some target SINR [3,4,9,16]. This is important for media applications as they require a minimum QoS in order to achieve satisfactory performance.…”

A cooperative uplink power control scheme for elastic data services in wireless CDMA systems

“…The authors assumed that users should enjoy equal signal-to-interference ratio (SIR) and maximized the user utility function. The resulting operating point is Pareto optimal and fair [17]. However, the authors examined the problem without taking QoS constraints into account.…”