An Optimal Power Allocation for D2D Communications over Multi-user Cellular Uplink Channels

Omorinoye, Adeola Abraham; Vien, Quoc-Tuan; Lê, Tuấn Anh; Shah, Purav

doi:10.1007/978-3-030-30149-1_5

Cited by 1 publication

(2 citation statements)

References 16 publications

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“…As it can be seen in [32], it is necessary to consider the distance between all involved devices. The Rayleigh channel [33] coefficients are found from these distances and the gains are calculated using these coefficients.…”

Section: Power Allocationmentioning

confidence: 99%

“…where G is called a Z-matrix [12,13] because all of its off-diagonal elements are non-positive, p is the vector of powers, n is the vector that relates the instantaneous SINR with the variance, and p max is the maximum power. According to Lemma 1 in [32], if matrix G defined in Equation (11) satisfies Equation ( 15), then a unique lower bound for the power allocation is given by Equation ( 16), satisfying the condition p min ⪯ p max . Thus, p min represents the optimal solution to the power allocation optimization problem.…”

Section: Power Allocationmentioning

confidence: 99%

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Optimal Power Allocation and Delay Minimization Based on Conflict Graph Algorithm for Device-to-Device Communications

de Melo,

Ferreira,

Vieira

2023

Applied Sciences

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Device-to-device (D2D) technology is a promising technique in terms of being capable of providing efficiency, decreased latency, improved data rate, and increased capacity to cellular networks. Allocating power to users in order to reduce energy consumption and maintain quality of service (QoS) remains a major challenge in D2D communications. In this paper, we aim to maximize the throughput of D2D users and cellular users subject to QoS requirements and signal-to-interference-plus-noise ratio (SINR). To this end, we propose a resource and power allocation approach called optimal power allocation and delay minimization based on the conflict graph (OP-DMCG) algorithm that considers optimal power allocation for D2D multi-users in the cellular uplink channels and minimization of the total network delay using conflict graphs. Based on the simulations presented in this paper, we show that the proposed OP-DMCG algorithm outperforms the greedy throughput maximization plus (GTM+), delay minimization conflict graph (DMCG), and power and delay optimization based uplink resource allocation (PDO-URA) algorithms in terms of both total network throughput and total D2D throughput.

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Section: Power Allocationmentioning

confidence: 99%