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Feedback, power control and beamforming are important PHY and MAC layer issues in wireless communication systems. This dissertation is concerned with theoretical studies and algorithmic developments related to these issues in the context of and in support of the design of situational aware wireless networks. The envisioned situational aware wireless networks adapt system parameters and algorithms design to the channel attributes, user attributes, and system attributes, which constitute the wireless environment and network situations. The research topics in this dissertation regarding feedback, power control and beamforming are motivated by issues that arise from considering different types of awareness. We first propose an adaptive feedback design based on the heterogeneous spectral channel statistics among users, which advocates the awareness of channel attributes. We leverage the multi -cluster subband fading model to develop an analytical framework to investigate the impact of partial feedback and potential imperfections including channel estimation error and feedback delay on system performance. Next, we examine partial feedback in a heterogeneous multicell, and propose a heterogeneous feedback design based on heterogeneous user densities and large scale channel effects, which advocates the awareness of user attributes. The cumulative distribution function (CDF)-based scheduling policy is employed to obtain multiuser diversity gain while maintaining scheduling fairness. We derive a closed form expression as well as asymptotic approximation for the sum rate. In addition, the CDF-based scheduling policy is leveraged in a random beamforming framework to address several open problems. We develop the notion of individual sum rate to study the rate scaling for each individual user. We theoretically examine the randomness of multiuser diversity incurred by selective feedback to further establish the individual scaling laws under different feedback schemes. We then inve

Feedback, power control and beamforming are important PHY and MAC layer issues in wireless communication systems. This dissertation is concerned with theoretical studies and algorithmic developments related to these issues in the context of and in support of the design of situational aware wireless networks. The envisioned situational aware wireless networks adapt system parameters and algorithms design to the channel attributes, user attributes, and system attributes, which constitute the wireless environment and network situations. The research topics in this dissertation regarding feedback, power control and beamforming are motivated by issues that arise from considering different types of awareness. We first propose an adaptive feedback design based on the heterogeneous spectral channel statistics among users, which advocates the awareness of channel attributes. We leverage the multi -cluster subband fading model to develop an analytical framework to investigate the impact of partial feedback and potential imperfections including channel estimation error and feedback delay on system performance. Next, we examine partial feedback in a heterogeneous multicell, and propose a heterogeneous feedback design based on heterogeneous user densities and large scale channel effects, which advocates the awareness of user attributes. The cumulative distribution function (CDF)-based scheduling policy is employed to obtain multiuser diversity gain while maintaining scheduling fairness. We derive a closed form expression as well as asymptotic approximation for the sum rate. In addition, the CDF-based scheduling policy is leveraged in a random beamforming framework to address several open problems. We develop the notion of individual sum rate to study the rate scaling for each individual user. We theoretically examine the randomness of multiuser diversity incurred by selective feedback to further establish the individual scaling laws under different feedback schemes. We then inve