| 作成者 |
|
|
|
|
|
|
|
|
|
| 本文言語 |
|
| 出版者 |
|
| 発行日 |
|
| 収録物名 |
|
| 出版タイプ |
|
| アクセス権 |
|
| 権利関係 |
|
| 関連DOI |
|
| 関連URI |
|
| 関連HDL |
|
| 概要 |
The Age of Information (AoI) is a key metric in monitoring and control applications of Internet of Things (IoT) networks, where real-time decision-making relies on the freshness of the information. Th...is paper presents an innovative approach to optimizing the AoI in downlink NOMA/OMA systems. We propose an AoI minimization-oriented adaptive framework that selects the optimal transmission mode from four operational strategies: full-duplex (FD) cooperative simultaneous wireless information and power transfer (SWIPT) non-orthogonal multiple access (NOMA), half-duplex (HD) cooperative SWIPT NOMA, regular NOMA, and orthogonal multiple access (OMA). Since the FD cooperative SWIPT NOMA requires the near user to be equipped with two antennas to enable FD operation, we propose enhancing the HD, OMA, and regular NOMA modes of operation by applying beamforming diversity. The proposed work analytically evaluates the system error performance by deriving closed-form expressions of the average block error rate (BLER) for the four operating modes and validates the results through Monte Carlo simulations. Based on the average BLER, the AoI for each operational mode is analysed, illustrating the necessity of the adaptive system. Furthermore, we utilize the finite state Markov decision process to devise an optimal adaptive policy that selects the best transmission strategy based on the AoI in the transmission time slot. Finally, we present a suboptimal policy using the drift-plus-penalty algorithm to reduce system complexity while maintaining near-optimal performance. The results demonstrate that the proposed approach minimizes the AoI, providing valuable insights into system design.続きを見る
|
Mendeley出力
