Resource Allocation In Space-Time-Frequency Domain Considering QoS For IMT-A Systems

IMT-Advanced system will be a broadband multimedia mobile communication platform, and it can provide wider services for users. The limited wireless resources cannot meet the requirement of the services which come from lots of users, although the capacity of IMT-Advanced systems is much more than previous systems. According to the different quality of service (QoS), the resources allocation is an important issue in IMT-Advanced system.In order to improve the efficiency of air interface frequency spectrum, MIMO technology will be used in IMT-Advanced system. MIMO technology can be carried out by many kinds of forms: Transmit diversity technology, spatial multiplying technology, beam forming technology and so on. According to different forms of MIMO technology, the improvement of system performance will be different. Radio resource management in IMT-Advanced system not only related to the resource allocation technique in time-frequency domain, but also involves the choice of MIMO technology realization form as well as the parameters. Therefore a transmit models selection scheme was proposed to compromise system capacity, the transmission quality and the coverage.Besides the basic telephone service, the IMT-Advanced system can also provide many kinds of migration data service based on the packet switching, and the QoS is much more complicated than other systems. In order to utilize the limited resources effectively, considering the QoS a resource allocation technique that synthesize space-time-frequency domain will be proposed. Comparing with the resource management of time-frequency domain, the proposed technique not only in time-frequency domain, but also can allocate the airspace resources, including combined multiuser of spatial multiplying technology, antenna selection of transmit diversity technology and researching the applied occasion of bean forming technology. The simulation results show that the proposed algorithm is effective in resource utilization, the coverage area and system capacity were improved respectively, and meanwhile fairness of resource allocation between users was guaranteed.