Self-Organizing Hit Avoidance in Distributed Frequency Hopping Multiple Access Networks
| Autor: | Qihui Wu, Luliang Jia, Yuhua Xu, Long Yu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Optimization problem Distributed frequency hopping multiple access network General Computer Science hit avoidance Computer science 02 engineering and technology symbols.namesake 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering General Materials Science multiple users game-theoretic learning Access network Artificial neural network General Engineering 020302 automobile design & engineering 020206 networking & telecommunications Nash equilibrium Metric (mathematics) symbols potential game Frequency-hopping spread spectrum lcsh:Electrical engineering. Electronics. Nuclear engineering Potential game lcsh:TK1-9971 Carrier sense multiple access with collision avoidance |
| Zdroj: | IEEE Access, Vol 5, Pp 26614-26622 (2017) |
| ISSN: | 2169-3536 |
| Popis: | In this paper, we investigate the frequency hit avoidance problem in distributed frequency hopping multiple access (FHMA) networks, in which each user intends to avoid the frequency hit with others by choosing the appropriate frequency set and frequency hopping sequence. First, we define the network hit degree as the metric for the hits, and formulate the frequency hit avoidance problem as an optimization problem of the network hit degree. Second, we formulate a non-cooperative game model to solve this optimization problem, and prove the game is an exact potential game, which illustrates that the Nash equilibria (NE) point of the game is the optimal solution of the optimization problem. Finally, we propose a fragment-based distributed hit avoidance (FDHA) learning algorithm and prove that the learning algorithm can converge to the NE point. The simulation results show that the proposed algorithm can converge to the optimal solution rapidly such that the FHMA network is hit-free. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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