Resource Allocation Of TDMA Wireless Mesh Network Based On Generalized Area Spectral Efficiency

Wireless Mesh Networks are expected to gain signi?cant attraction in the telecommunication market in the near future, for it could provide better service.It is able to self-organize and configure automaticly, what’s more, it provides robust, reliable and lower-cost connectivity, for it is the huge breakthrough of wireless network with its promising perspective. Nevertheless, some critical factors menace them not to achieve their expected features concerning the following aspects: energy consumption, interface technology, scalability and security. Recently, energy efficiency in wireless mesh networks has received significant attention from both academia and industry. Some of them even have made contributions to this field. In this thesis, we used a new energy efficiency metric- Generalized Area Spectral Ef?ciency to quantify the energy efficiency in the wireless mesh networks. It is an alternative for future green wireless systems to achieve high-data-rate transmissions with minimum electromagnetic pollution in both spectral and spatial dimensions by taking into account this spatial effect of radio transmissions.To start with, we consider the utilization of Time Division Multiple Access and we extend our research to Spatial Time Division Multiple Access. In TDMA system, slots are assigned to only one link and links do no interfere with each other. Links that are scheduled form point to point channel. We established optimization model which aims at maximizing the generalized area spectral efficiency, taking power control into consideration. And then, we extend TDMA protocol to Spatial TDMA. STDMA bene?ts from the spatial distribution of nodes allowing the reuse of timeslots by users su?ciently far apart. This feature permits a better utilization of the spectrum. While in STDMA system, we assign one slot to two links at a time. Links that are scheduled form X channel. There is interference between links, so we use interference model to optimize generalized area spectral ef?ciency. All in all, how to assign slots effectively to maximize the generalized area spectral ef?ciency is our focus.Then, when solving these models, we divided the problem into two parts, power allocation and slots allocation. When allocating power, we utilized nonlinear simplex method and Interior Penalty Function Method to address this problem and when allocating slots, we utilized the branch and bound algorithm to solve that problem. At last, by simulating in MATLAB, we showed how generalized area spectral efficiency changes with different simulation parameters and analyzed the hidden reasons. In order to observe the noise effect on generalized area spectral efficiency, we conducted two simulations respectively, as the results show, generalized area spectral efficiency decreases as noise increases. And in STDMA wireless mesh networks, re- using slots enhances the generalized area spectral efficiency.