| The wireless spectrum is a scarce resource, necessitating the development for ever more spectrally efficient wireless communication systems. As we need to accommodate increasing service demands and deploy more wireless systems, we also create more interference. In particular, to maximize area spectral efficiency, commercial standards are adopting universal frequency reuse patterns and multi-user transmission schemes, where performance is ultimately limited by interference. Thus, the bottleneck towards the continued development of wireless communication systems is contingent on efficiently mitigating the impacts of interference.;In this thesis, we seek to investigate several novel coordinative and cooperative multi-antenna interference management techniques. Specifically, we adopt a pragmatic approach and focus on designing MIMO transceiver processing with various practical considerations for a number of illustrative scenarios in which efficient interference management is imperative to assuring good system performance.;First, we propose a robust transceiver design for quasi-static MIMO interference channels, taking into account important practical issues such as channel state information (CSI) uncertainty and fair performance among the users.;Second, we consider linear MIMO transceiver design for a cellular two-way amplify-and-forward relaying system consisting of a base station (BS), a relay station (RS), and multiple mobile stations (MSs). Due to the two-way transmission, the MSs could suffer from tremendous multi-user interference. We apply an interference management model exploiting signal space alignment and propose a transceiver design algorithm, which allows for alleviating the loss in spectral efficiency due to half-duplex operation and providing flexible performance optimization accounting for each user's quality of service priorities.;Third, we consider a downlink multi-cell scenario whereby multiple BSs transmit to their corresponding MSs, assisted by a shared RS. In designing the BS and RS transmission schemes, it is crucial to leverage between sending useful signals and incidentally sending interference to each MS. Accordingly, we devise a precoder design algorithm motivated by a minimum distance maximization based interference management model. |
