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Abstract

In this paper we explore the cross-layer MIMO-MAC resource allocation problem in interference-limited wireless networks. This is primarily motivated by the trade-off between maximizing the throughput of individual non-interfering links, using spatial multiplexing, and maximizing the spatial reuse of lower rate interfering links, using spatial multiplexing in conjunction with nulling. First, we formulate a cross-layer optimization problem that jointly decides the scheduling and MIMO stream allocation in order to maximize the average sum rate of a given set of single-hop links, subject to signal-to-interference-and-noise-ratio (SINR) constraints. Second, we characterize the problem as a non-convex integer programming problem which is quite challenging to solve. However, we show that under low SINR regimes, an approximate problem can be cast into a geometric programming formulation which is convex. Finally, we characterize the optimal solution for the case of two links and utilize the developed decision rules as a basis for a distributed iterative MIMO link scheduling (IMLS) algorithm that achieves significant gains for arbitrary number of links. Numerical results show that, for plausible scenarios, IMLS achieves more than 2-fold improvement over one-link-per-slot utilizing full spatial multiplexing gain.

Keywords

MIMO networks convex optimization scheduling spatial multiplexing interference nulling 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Tamer ElBatt
    • 1
  1. 1.Faculty of EngineeringCairo UniversityGizaEgypt

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