|dc.description.abstract||In this dissertation, we use both game and grey fuzzy theories to solve common wireless network issues. First we apply the game theory routing approach for wireless networks, then we apply the grey fuzzy control to improve resource allocation schemes in heterogeneous wireless networks.
In the first issue, we know some wireless networks are self-organized and self-managed. Depending on the network environment, we can choose a different routing protocol, such as a vehicular ad hoc network (VANET), a wireless mesh network, or a mobile ad hoc network (MANET). We have designed a new routing algorithm applying game theory to routing within the highly independent wireless ad hoc networks. Each node in the network, depending on the actual situation, selects its own reasonable cost next node. However, the development of each network node’s routing cost must be in line with Nash equilibrium and the network nodes pricing mechanism. Our simulation results show that the new algorithm is efficient and scales well to large networks. In addition, the network cost is also considered in a heuristic manner and the simulation results illustrate that the required cost of the selected path in the proposed scheme is competitive with the shared path scheme.
In the second issue, a systematic approach to joint radio resource management (JRRM) over a complex heterogeneous network is to use several realistic radio access technologies (RATs). This work applies a novel grey fuzzy control process to joint radio resource management (JRRM). In this architecture, the JRRM techniques are divided between grey fuzzy control (GFC) and grey fuzzy multi-attribute decision making (GFMADM). These enhancements lead to a new JRRM architecture which seeks to minimize the multi-user interference, decrease blocking, lower dropping probabilities and improve load balancing. The policy uses the signal strength, path loss, and load algorithms for admission control (AC), horizontal handoff (HHO) and vertical handover (VHO) in a heterogeneous wireless scenario which includes GSM/EDGE radio access network (GERAN), high-speed packet access (HSPA) and long term evolution (LTE) RATs. Our simulation results show that the proposed GFC/GFMADM algorithm can decreases multi-user interference which results in increased system radio capacity, decreased blocking and dropping probabilities and enhanced load balancing.
The integration of Heterogeneous Wireless Networks and ad hoc wireless networks access network is recognized to be the trend of next generation network. In this dissertation, we use the R&S CMW500 simulator to simulate a wireless base station simulation system. We did not consider a number of cases which may lead to future research topics.||en_US|