Outage Analysis of Device-to-Device Communication System

Hussain, Zakir; Khan, A. R.; Mehdi, Haider; Saleem, Syed Muhammad Atif

doi:10.20535/radap.2018.74.36-43

Cited by 3 publications

(2 citation statements)

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“…In general, the macro cell radius is commonly set at 1 km [56], as set in our simulation. The typical distance between the transmitter and receiver in a pair of Device-to-Device (D2D) users, frequently cited in numerous academic articles [57], is 50 m. The cell center acts as the central hub for our base station, which accommodates both cellular and D2D users.…”

Section: Simulation and Discussionmentioning

confidence: 99%

Interference Management Based on Meta-Heuristic Algorithms in 5G Device-to-Device Communications

Benbraika,

Kraa,

Himeur

et al. 2024

Computers

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Device-to-Device (D2D) communication is an emerging technology that is vital for the future of cellular networks, including 5G and beyond. Its potential lies in enhancing system throughput, offloading the network core, and improving spectral efficiency. Therefore, optimizing resource and power allocation to reduce co-channel interference is crucial for harnessing these benefits. In this paper, we conduct a comparative study of meta-heuristic algorithms, employing Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), Bee Life Algorithm (BLA), and a novel combination of matching techniques with BLA for joint channel and power allocation optimization. The simulation results highlight the effectiveness of bio-inspired algorithms in addressing these challenges. Moreover, the proposed amalgamation of the matching algorithm with BLA outperforms other meta-heuristic algorithms, namely, PSO, BLA, and GA, in terms of throughput, convergence speed, and achieving practical solutions.

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