Research Article
A Multi-queue Aggregation Framework for M2M Traffic in LTE-A and Beyond Networks
@INPROCEEDINGS{10.1007/978-3-319-72823-0_56, author={Wen Feng and Hongjia Li and Ding Tang and Liming Wang and Zhen Xu}, title={A Multi-queue Aggregation Framework for M2M Traffic in LTE-A and Beyond Networks}, proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings}, proceedings_a={5GWN}, year={2018}, month={1}, keywords={M2M Quality of service Packet aggregation LTE-A}, doi={10.1007/978-3-319-72823-0_56} }- Wen Feng
Hongjia Li
Ding Tang
Liming Wang
Zhen Xu
Year: 2018
A Multi-queue Aggregation Framework for M2M Traffic in LTE-A and Beyond Networks
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_56
Abstract
Traffic aggregation has been considered as an effective approach to improve the radio resource utilization for M2M communication in LTE-A and beyond networks. In the LTE-A specification, the Relay Node (RN) is recommended to aggregate uplink M2M small-sized packets. However, the delay brought by the packets aggregation is inevitably increased, which is a vital metric for M2M packets with low delay requirement, such as emergency alerting. In this paper, we propose a new framework for optimal aggregation implemented in the PDCP of RN, which features balancing a tradeoff between QoS requirements of packets and the utilization efficiency of Physical Radio Blocks (PRBs). Specifically, (1) the RN dispatches the new arrival M2M packets into corresponding virtual queues according to their priorities set by M2M devices. Then, an Optimal Aggregating Scheme (OAS) is designed to minimize the PRB usage in condition satisfying the specific restriction of waiting time of packets in virtual queues. (2) The optimal aggregating problem is proved to be a NP-hard problem, which is solved by the Priority Branch and Bound Algorithm (PBBA) and the Priority Aggregating Heuristic. Numerical results illustrate that OAS achieves a tradeoff of QoS and PRB utilization efficiency in comparison with four existing schemes.
