| dc.description.abstract | Scheduling and resource allocation play important roles in designing effective wireless mobile networks. However, with diverse requirements of quality of service for mobile devices applications plus changing wireless enviroments, scheduling and resource allocation issues become more challenging. In this dissertation, we first investigate power saving scheduling and then resource allocation for multicasting scalable video coding (SVC) traffic in WiMAX network. Finally, resource allocation technique for uplink localized SC-FDMA LTE network is discussed.
To support battery-operated devices for longer use durations without recharging, power saving capability becomes a vital feature. Accordingly, we propose an energy-saving centric downlink scheduling (ESC-DS) scheme in WiMAX network. The proposed scheme treated real-time and non-real-time connections differently with respect to providing “just enough QoS” to support efficient power utilization and to satisfy the QoS requirements. Two rescheduling algorithms, whole–reschedule and partial-reschedule, are proposed and analyzed. Our simulation results indicated the whole-reschedule scheme exhibited 8 % higher sleep efficiency than the traditional scheme for RT MSs and higher than 11 % for NRT MSs while the partial-reschedule scheme obtained a minor 0.95% higher sleep efficiency than the traditional scheme for RT MSs and excellent 7.59% higher for NRT MSs.
For SVC multicasting scheduling and resource allocation, we treat a service multicast group, which receives the same video traffic simultaneously, can be divided into several delivery multicast groups in WiMAX network for better radio resource utilization. A delivery multicast group is designed in a “soft-group” manner, which can be flexibly arranged. Two radio resource allocation schemes, cross-layer resource allocation (CLRA) and quality-aware resource allocation (QARA), are presented. CLRA considers not only frequency domain (PHY layer) but also time domain (MAC layer) to obtain better resource allocation. Simulation results show that the average throughput per user of CLRA is 520 kbps better than 445 kbps of our previous presented BUF (best user first) scheme. QARA jointly uses SVC scalability, MCS flexibility, and UL-FEC capability to adaptively allocate radio resources for a video stream. Simulation results show that the proposed QARA scheme (with FEC) achieves the highest transmission efficiency 70% (transmission efficiency is defined as the ratio of average received data rate per slot using the selected MCS level to that of using the highest MCS level (i.e., MCS 6) for transmitting video data).
For uplink resource allocation in localized SC-FDMA LTE network, we propose a systematic approach, dividing resource block (RB) allocation process into matching algorithm and assignment algorithm, to achieve better QoS satisfacation and system throughput. The Gale-Shapley algorithm is applied to find the optimal matching between RBs and user equipments (UE) by considering channel conditions and the desired quality of service (QoS), and the resource assignment algorithm heuristically allocates bandwidth to UE by referring the matched RB under the constraint of carrier continuity. From the simulation analysis, it indicates that has the unsatisfied ratio (the percentage that the allocated bandwidth is less than the GBR minimum bit rate) of the proposed matching scheme is 10% less than that of the no-matching scheme on average. | en_US |