Power Optimization in Multimedia Sharing in Device to Device Communication Underlaying Cellular Networks

Alibeigi, Maryam; Taherpour, Abbas

doi:10.1109/istel.2018.8661101

Cited by 1 publication

(1 citation statement)

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“…Therefore, several interference coordination policies such as scheduling, power control, bandwidth resource assignment, and mode selection have been suggested to deal with interference. [5][6][7][8][9][10][11] In previous studies, 12,13 the total transmit power of the devices is minimized, while the QoS requirements of D2D and CUs are guaranteed. They showed that in downlink scenario, the harmful interference can be mitigated effectively by employing a beamforming technique at the BS, which equipped with multiple antenna.…”

Section: Introductionmentioning

confidence: 99%

Max–min fair robust beamforming design for underlay device‐to‐device communications in cellular networks

Alibeigi

Taherpour

Rahmani

2021

Int J Communication

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This paper investigates the robust downlink beamforming designs based on max-min fairness and base station (BS) power consumption constraint for device-to-device (D2D) communications underlaying cellular network, under the assumption of imperfect channel state information (CSI) at the BS. Our objective is to maximize the minimum signal-to-interference-plus-noise ratio (SINR) or non-outage probability of users while guaranteeing that the consumed power at the BS is less than a threshold. In particular, three max-min fairness scenarios are considered. In the first scenario, the worst-case SINR of cellular users (CUs) is maximized where the D2D SINR is guaranteed to be above a specified predetermined threshold. In the second scenario, we extend the first scenario and maximized D2D SINR while maximizing CUs' SINR. In these two scenarios, it is assumed that the errors are upper bounded in their Frobenius norms. In the third scenario, the minimum non-outage probability of users is maximized, while a probabilistic model is considered for the uncertainty of channel covariance matrices. Although such optimization problems are not convex, the semidefinite relaxation (SDR) approach is used to obtain the optimal beamforming matrix, which always complies the rank-one constraint. Simulation results show that significant improvement in terms of minimum SINR of CUs, the minimum non-outage probability of CUs, and the probability of feasibility and the fairness index can be achieved with our proposed algorithms in comparison with other beamforming schemes. K E Y W O R D Sdevice-to-device communications, imperfect channel state information, max-min fairness, robust beamforming

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