Research On Resource Allocation In Wireless Small Cell Network

With the development of mobile internet, wireless communication system will meet a significant growth in data transmission. How to satisfy such a requirement becomes a great problem to wireless communication industry and researchers. Contemporary, small cell seems to be one of the most promising approaches to meet the increasing data need by adding more access points to the network and reducing the distance between user equipment and access points.3GPP(The 3rd Generation Partnership Project) provides the main scenarios for small cell application, including homogeneous small cell network, co-channel deployed heterogeneous small cell network and nonco-channel deployed heterogeneous small cell network. This paper will focus on the first two scenarios and carry out research on resource allocation in such scenarios.For homogeneous small cell network, this paper mainly study the combination of TDD(Time Division Duplexing) and small cell, including dynamic TDD uplink-downlink resource allocation and interference mitigation schemes. Moreover, the combination of these schemes are studied as well.For co-channel deployed heterogeneous small cell network, this paper mainly studies how to distribute the spectrum resource in macro cells and small cells properly and explores whether dynamic TDD could be applied in this scenario. More specifically, a cell range expansion strategy is proposed to enlarge the coverage of small cells and offload users to small cells. Dynamic TDD is introduced by design time domain configurations. A system-level simulation program, which satisfies 3GPP standards, is used to verify that dynamic TDD could achieve even better system performance compared to the gain brought by user equipment offloading. While for FDD(Frequency Division Duplexing) co-channel deployed heterogeneous small cell network, an original user equipment access and traffic based time domain resource allocation scheme is proposed. Based on the classification of users and subframes, a new scheduling policy is given. Simulation results verify that compared with traditional static schemes, our proposed dynamic method could obtain considerable gain in throughput performance, especially when the traffic load in network varies.