TY - GEN
T1 - Performance Evaluation of Transmission Mode Selection in D2D communication
AU - Ioannou, Iacovos
AU - Christophorou, Christophoros
AU - Vassiliou, Vasos
AU - Pitsillides, Andreas
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/19
Y1 - 2021/4/19
N2 - Device to Device (D2D) Communication is expected to be a one of the major contributing factors of the realisation of 5G and Beyond Mobile communication networks as it promises improvements in energy efficiency, spectral efficiency, overall system capacity, and higher data rates with the use of the same frequencies for different D2D transmissions in short communication distances within the Cell. However, in order to achieve optimum results, it is important, among others, to select wisely the Transmission Mode of the D2D Device. Towards this end, our previous work proposed an intelligent Transmission mode selection approach in a framework that is utilizing Artificial Intelligence (AI) BDIx agents to collectively satisfy the D2D challenges in a Distributed Artificial Intelligent (DAI) manner and act autonomously and independently. In this paper, as a first step, a literature review focused on related Transmission mode approaches is performed. Then, our investigated Transmission mode selection approach is further explained with formulas, evaluated based on different threshold values and investigated how these can affect the overall spectral efficiency and power usage of the network in order to achieve the maximum performance. The investigated thresholds on utilized values (i.e., D2D Device Weighted Data Rate (WDR), D2D Device Battery Power Level) and metrics (i.e., WDR) are also further analyzed and formulated. In addition, the effect the transmission power of the D2D links has on the total spectral efficiency and total power consumption of the network, is also examined. The evaluation results revealed some interesting findings that can contribute in other approaches that utilized similar or same thresholds. Also, the results obtained demonstrate that with the right tuning of the thresholds and transmission power, one can achieve a significant improvement in the network power usage and total spectral efficiency.
AB - Device to Device (D2D) Communication is expected to be a one of the major contributing factors of the realisation of 5G and Beyond Mobile communication networks as it promises improvements in energy efficiency, spectral efficiency, overall system capacity, and higher data rates with the use of the same frequencies for different D2D transmissions in short communication distances within the Cell. However, in order to achieve optimum results, it is important, among others, to select wisely the Transmission Mode of the D2D Device. Towards this end, our previous work proposed an intelligent Transmission mode selection approach in a framework that is utilizing Artificial Intelligence (AI) BDIx agents to collectively satisfy the D2D challenges in a Distributed Artificial Intelligent (DAI) manner and act autonomously and independently. In this paper, as a first step, a literature review focused on related Transmission mode approaches is performed. Then, our investigated Transmission mode selection approach is further explained with formulas, evaluated based on different threshold values and investigated how these can affect the overall spectral efficiency and power usage of the network in order to achieve the maximum performance. The investigated thresholds on utilized values (i.e., D2D Device Weighted Data Rate (WDR), D2D Device Battery Power Level) and metrics (i.e., WDR) are also further analyzed and formulated. In addition, the effect the transmission power of the D2D links has on the total spectral efficiency and total power consumption of the network, is also examined. The evaluation results revealed some interesting findings that can contribute in other approaches that utilized similar or same thresholds. Also, the results obtained demonstrate that with the right tuning of the thresholds and transmission power, one can achieve a significant improvement in the network power usage and total spectral efficiency.
KW - 5G
KW - D2D
KW - Distributed Artificial Intelligence
KW - Transmission Mode Selection
UR - http://www.scopus.com/inward/record.url?scp=85107357042&partnerID=8YFLogxK
U2 - 10.1109/NTMS49979.2021.9432648
DO - 10.1109/NTMS49979.2021.9432648
M3 - Conference contribution
AN - SCOPUS:85107357042
T3 - 2021 11th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2021
BT - 2021 11th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2021
Y2 - 19 April 2021 through 21 April 2021
ER -
