Energy-Aware Mode Selection for D2D Resource Allocation in 5G Networks

Abstract

This paper proposes an energy-aware mode-selection mechanism for device-to-device (D2D) resource allocation in the coexisting 5G network environment of D2D users and traditional cellular users by taking into consideration the mechanisms of mode selection, transmit power, and spectrum resource allocation simultaneously. In the proposed approach, all spectrum resources are fully shared by traditional cellular users and D2D users. We first determine the communication mode of all users after considering the transmission opportunity of traditional cellular users and analyzing the interference degree of different D2D communication modes. Next, we divide all users into three tiers according to the distances between users and the base station to solve the interference problem generated by excessing transmit power in uplink transmission. Afterward, based on the different communication modes, corresponding spectrum resource allocation mechanisms using the Hungarian algorithm are developed. We simulate a single cell environment using Python language and perform several simulations for different pairs of traditional cellular users and D2D users. The simulation results reveal that the proposed approach outperforms the proposed approach by Hou et al. in system throughput. With power control, the energy efficiency of the proposed approach could be enhanced by 20%.

Joint delay and energy aware dragonfly optimization‐based uplink resource allocation scheme for LTE‐A networks in a cross‐layer environment

“…The distribu- tion of the arrival rate of users is uniform with the values as in Table 2. Outcomes of the proposed scheme is compared with HORA and CRBA algorithm [20]; whale optimization algorithm (WOA)-based resource allocation scheme [25]; RSMA technique with Han-Kobayashi scheme for RA in multicell mm-wave environment [29]; amended barnacles mating optimizer-based RA algorithm(ABMO) [24] and energy-aware mode selection for D2D resource allocation using Hungarian algorithm [19]. Unit cell that are uniformly distributed MTCDs and H2H UEs are considered.…”

“…The aim is to make efficient use of bandwidth, improve received signals, and reduce interference. The research article in [19] enumerate a mode selection algorithm to effectively allocate the resources available in a mixed traffic environment by considering the MTC and HTC traffic. In this approach, we determine the communication mode for users based on traditional cellular transmission opportunities and analyze interference from different MTC communication modes.…”

Smart performance optimization of energy‐aware scheduling model for resource sharing in 5G green communication systems

“…The 5G network traffic dataset [39] is used here to implement the results [53]. Here, the network simulator-2 is the tool used to execute the results.…”

“…This approach has the potential to reduce the carbon footprint of communication systems and make them more eco-friendly. Tsai et al [39] have discussed an "Energy-Aware Mode Selection for D2D Resource Allocation in 5G Networks" is a research work that proposes a method to improve power efficiency in 5G networks by optimizing the selection of device-to-device (D2D) communication modes. This approach takes into account energy consumption and network load balance to allocate resources and enhance energy efficiency while maintaining high data rates.…”

“…Tsai et al [39] It enables improved energy efficiency and prolongs battery life for devices in 5G networks.…”