Name
Title | ||
|---|---|---|
Transmit Power and Carrier Sense Control for Massive Machine-to-Machine Communication in Wireless Ultra-dense Networks |
Abstract | ||
|---|---|---|
Besides the traditional voice and data services, 5G is expected to support new communication paradigm, i.e., Internet of Things (IoT) and Machine-to-Machine (M2M) services. Nonetheless, the system designs of transmit power control (TPC) and carrier sense threshold (CST) will be crucial when the huge number of these user equipment (UE) are densely engaged in vast number of data traffic transmissions. One practical and effective approach is to study the system design through numerical simulation. In this paper, we formalize the problem of minimizing the energy consumption and maximizing the average end-to-end throughput of massive M2M communication by optimally using a proposed consensus TPC scheme. To validate the effectiveness of our proposed scheme, we also focus the impact of the CST on the trade-off in between UE experienced data rate and network energy efficiency. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/ICMU.2018.8653615 | 2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU) |
Keywords | Field | DocType |
Interference,Machine-to-machine communications,Wireless sensor networks,Wireless communication,Power control,Receivers,Numerical models | Machine to machine,Wireless,Efficient energy use,Computer science,Power control,Computer network,User equipment,Throughput,Energy consumption,Wireless sensor network | Conference |
ISBN | Citations | PageRank |
978-4-907626-34-1 | 0 | 0.34 |
References | Authors | |
0 | 3 | |