|研究期間：10108~10207;As the wireless broadband technology evaluates, the base station cannot satisfy the growing requests of bandwidth. However, more than 60% of users use either voice or data services in indoor environment. As a result, the indoor communication technology like Femtocell or Relay is the key issue for next generation communication technology. Both the Femtocell and the Relay are specified in the standards of IEEE 802.16 and 3GPP. However, indoor deployment suffers several challenges like time synchronization and interference management. In order to successfully carry out the project, we plan a 3-year project. In the first year, we focus on the Femtocell technology. Because the Femtocell is setup by users in their home or office, it is hard for service provider to manage them. We have already studied the IEEE 1588 protocol in the first year. Then, we will design a Over-The-Air Time Synchronization method to assist Femtocell to synchronize with Macrocell. Moreover, we complete the algorithm which can mitigate the interference problem without power control. However, there are still users suffering from interference. As a result, we will design a interference mitigation algorithm with power control to mitigate the interference problem as possible. Then, our research will focus on the other indoor technology, Relay. Because the 3GPP just starts discussing the design principle of Relay, we will discuss the impact of the LTE/LTE-A network with Relays. Meanwhile, we will design methods to alleviate the affection of interference caused by Femtocell and Relay to improve the system throughput. In this year, we will also design a bandwidth allocation algorithm to utilize the channel efficiency. In the third year, we will design the QoS and flow control mechanism. To adopt the existing architecture, the new QoS mapping is needed for Relay to guarantee the QoS requirement. As the “Machine to Machine Communication” is applied, the flow control mechanism is import to prevent the base stations and the core network from over loading. And the flow control mechanism is to improve the reliability and to achieve the QoS requirements. In this project, we will use the OPNET network simulator and mathematical analysis to verify our algorithm. Finally, we hope to design suitable protocol to solve the problem of indoor deployment and utilize the system efficiency.