D2D for mMTC Sample Clauses

D2D for mMTC. As one of the new emerging services, mMTC is considered as an important service in 5G networks. Here exploitation of D2D communication to improve availability and reduce transmit power of mMTC devices is introduced. Signaling diagrams related with D2D grouping and communication procedures are provided in Annex A.1 to illustrate the proposed solution. Moreover, in order to optimize the system performance, the proposed solution also enables exploitation of context information with network assistance for D2D. Since LTE network was not designed for mMTC service, some solutions are proposed in the literature in order to compensate for the degradation of receiver performance. For instance, in order to maintain the receiving SINR, exploiting massive TTI bundling [3GPP15-151948] [SM09] or narrow band transmission NB-IoT [3GPP15-45820] are proposed in 3GPP. The subcarrier bandwidth in NB-IoT technique is chosen to meet the system coupling loss objective given the maximum MS transmit power. However, as the maximum data rate per subcarrier is reduced in accordance with the subcarrier bandwidth, per packet transmission duration will be increased and thus the proposed solutions experience huge resource usage at system level and battery drain at device level, which can significantly reduce battery life of the device. . In this work, D2D communication is exploited to offer a more power and resource efficient mechanism to support wide deployment scenarios for mMTC service, including deep coverage. Deep coverage refers to the case where mMTC devices are deployed deep inside a building and experience a very challenging radio propagation scenario with a large penetration loss. It is assumed further that all machine sensors are static and they have the ability to serve as relays. In the proposed solution, certain mMTC UEs are selected to act as relay UEs by a center entity, i.e. base station, with assistance of its gathered context information. Afterwards mMTC UEs located in cell boarder or deep-in-door can set up a sidelink with their assigned relay UEs. Thus, power consumption and coverage for the remote mMTC UEs can be improved. We assume that all sensors can receive the control information from their served BS in downlink and the main challenge to handle is the uplink transmission. In other words, remote mMTC UEs cannot reach the BS in uplink, no matter in CP or UP. Below are the main aspects of this scheme:  Context information will be collected and exploited by BS to a...
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