Joint Downlink Beamforming and Discrete Resource Allocation Using Mixed-Integer Programming (2014)
Abstract / truncated to 115 words
Multi-antenna processing is widely adopted as one of the key enabling technologies for current and future cellular networks. Particularly, multiuser downlink beamforming (also known as space-division multiple access), in which multiple users are simultaneously served with spatial transmit beams in the same time and frequency resource, achieves high spectral efficiency with reduced energy consumption. To harvest the potential of multiuser downlink beamforming in practical systems, optimal beamformer design shall be carried out jointly with network resource allocation. Due to the specifications of cellular standards and/or implementation constraints, resource allocation in practice naturally necessitates discrete decision makings, e.g., base station (BS) association, user scheduling and admission control, adaptive modulation and coding, and codebook-based beamforming (precoding). This ... toggle 7 keywordsmultiuser downlink beamforming – discrete resource allocation – base station association – admission control – discrete rate adaptation – convex optimization – mixed-integer programming
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