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The problem of competitive rate-maximization is an important signal-processing problem for power-constrained multi-user systems. It involves solving the power control problem for mutually interfering users operating across multiple frequencies. We introduced robust rate-maximization game for systems with bounded channel uncertainty. In this paper, we analyse the effect of uncertainty on the global...
In this paper, a queue aware game theoretic cross-layer scheme is introduced for multiuser orthogonal frequency division multiple access (OFDMA) wireless systems. A joint scheduling process that combines an adaptive modulation (AM) at the physical layer (PHYL) along with a discrete Markov modulated Poisson process (dMMPP) at the medium access control (MAC) layer, is devised. Moreover, relied on this...
Multi-user MIMO-OFDMA is regarded as an important technology for increasing the flexibility and efficiency of wireless communication systems. A well-behaved resource allocation strategy is crucial for the performance of such systems. In this paper, we study the allocation problem from a cooperative game theory perspective and present two algorithms to find the Kalai-Smorodinsky bargaining solution...
This paper studies fair resource allocation schemes for orthogonal frequency-division multiple-access (OFDMA) with the decode-and-forward relaying strategy. To satisfy the heterogenous rate requirement of each user while considering the fairness and efficiency as performance indices, the bargaining theory is applied to allocate resource at a relay node to multiple source nodes. Motivated by the fact...
This paper proposes a cooperative game theoretic resource allocation scheme for downlink OFDMA wireless networks. We define a user??s payoff as a function of his data throughput. Then the source allocation can be modeled as a cooperative game to maximize the aggregate payoff of the users. To achieve the Nash bargaining solution (NBS) of the game, a suboptimal subcarrier allocation is first performed...
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