Two-Phase Multicast DRX Scheduling for 3GPP LTE-Advanced Networks

Abstract

For next-generation wireless communications, the 3GPP Long Term Evolution-Advanced (LTE-A) is the most promising technology which provides transmission rate up to 1 Gbps and supports various broadband multimedia services, such as IPTV and Voice/Video-over-IP services. To reduce the energy consumption of user equipments (UEs), the LTE-A standard defines the Discontinuous Reception Mechanism (DRX) to allow UEs to turn off their radio interfaces and go to sleep when no data needs to be received. However, how to optimally configure DRX for UEs is still left as an open issue. In this paper, we address the DRX optimization problem for multicast services. This problem asks how to guarantee the quality of service (QoS) of the multicast streams under the Evolved Node B (eNB) while minimizing the UEs' wake-up time. We prove this problem to be NP-complete and propose an energy-efficient heuristic. This heuristic consists of two phases. The first phase tries to aggregate the required bandwidth of the multicast streams for UEs to reduce their wake-up periods. The second phase further minimizes UEs' unnecessary wake-up periods by optimizing their DRX configurations. Extensive simulation results show that our scheduling is close to the optimum in most cases.

On Device Grouping for Efficient Multicast Communications in Narrowband-IoT

“…However, they do it for each device independently without the need to synchronize different devices. In [25] a DRX adaptation method is presented that aims in minimizing the energy consumption while guaranteeing the QoS of the multicast service being received. Similarly, [26], [27] attempt to fine-tune the DRX configuration to result in optimized energy consumption.…”

Energy Consumption Delay Evaluation of NB-IoT Terminal Based on Markov Model

“…In order to optimize DRX mechanism, predecessors have done a lot of mechanism innovation. In reference [15][16][17][18][19][20], the authors have studied the mechanism innovation of DRX. However, their methods mainly consider the influence between QoS and DRX parameters, and in the Internet of things devices, the control of energy consumption is often higher than the requirements of QoS.…”