Convex Quadratic Programming for Maximizing Sum Throughput in MIMO-NOMA Multicell Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


This paper aims to design linear precoders for signal superposition at the base stations of non-orthogonal multiple access multiple-input multiple-output multi-cellular systems to maximize the overall sum throughput subject to the users' quality-of-service requirements, which are imposed independently on the users' channel conditions. This design problem is formulated as the maximization of a highly nonlinear and nonsmooth function subject to nonconvex constraints, which is very computationally challenging. A path-following algorithm for its solution, which invokes only a simple convex problem of moderate dimension at each iteration, is developed. Generating a sequence of improved points, this algorithm converges at least to a local optimum. Numerical results are then provided to demonstrate its merit.

Original languageEnglish
Title of host publicationIEEE Global Communications Conference (GLOBECOM 2017): Proceedings
Place of Publication Singapore, Singapore
Publisher IEEE
Number of pages6
ISBN (Electronic)9781509050192
ISBN (Print)9781509050192
Publication statusPublished - 15 Jan 2019


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