6533b852fe1ef96bd12aac80

RESEARCH PRODUCT

Robust Transmit Beamforming for Underlay D2D Communications on Multiple Channels

Mohamed ElnouraniDaniel RomeroBaltasar Beferull-lozanoSiddharth Deshmukh

subject

BeamformingMathematical optimizationComputer scienceProbabilistic logicSignal-to-interference-plus-noise ratio020302 automobile design & engineering020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologySpectral efficiency0203 mechanical engineeringChannel state informationRobustness (computer science)Computer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringResource allocationUnderlayVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer Science::Information Theory

description

Underlay device-to-device (D2D) communications lead to improvement in spectral efficiency by simultaneously allowing direct communication between the users and the existing cellular transmission. However, most works in resource allocation for D2D communication have considered single antenna transmission and with a focus on perfect channel state information (CSI). This work formulates a robust transmit beamforming design problem for maximizing the aggregate rate of all D2D pairs and cellular users (CUs). Assuming complex Gaussian distributed CSI error, our formulation guarantees probabilistically a signal to interference plus noise ratio (SINR) above a specified threshold. In addition, we also ensure fairness in allocation of resources to D2D pairs. We accommodate the probabilistic SINR constraint by exploiting a Bernstein-type inequality.The resulting problem is a mixed integer non-convex problem, and we propose to approximately solve it by exploiting a semi-definite relaxation (SDR) and a quadratic transformation, which leads us to an alternating optimization method. Simulation results corroborate the merits of the proposed approach by illustrating higher network throughput and more reliable communication.

yearjournalcountryeditionlanguage
2020-05-012020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
https://doi.org/10.1109/spawc48557.2020.9154329