Details

Autor(en) / Beteiligte

• Peng, Sheng-Lung
• Hao, Rong-Xia
• Pal, Souvik

Titel

Maximum Rate, with Joint Resource Allocation and Relay Selection for OFDM-Cognitive Network with Multiple-(Two-Way AF)-Relay

Ist Teil von

• Proceedings of First International Conference on Mathematical Modeling and Computational Science, 2021, Vol.1292, p.451-462

Ort / Verlag

Singapore: Springer Singapore Pte. Limited

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Cognitive relay network is an integrated technique that combines the cognitive radio network (CRN) with wireless relay technology. A range of challenges faces this combination and some of these are proposed in this paper. In this paper, the power allocation, subcarrier allocation, and relay selection are proposed as a problem formulation for OFDM based on cognitive radio network with assistance the two-way amplify-and-forward (AF) relay, under all interference constraints and power constraints that considered in this paper to maximize the total transmission rate for the secondary network. To solve this problem, genetic algorithm (GA) is proposed as an optimization technique to find all subcarriers allocation as matrix pairing A, the relay selection matrix B, and all powers calculated that distributed over 256 levels. The results showed the ability of this algorithm to effectively determine the frequency and power values of the system.