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Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution

This presentation by 劉姿瑾 on September 25, 2012, explores the advantages of utilizing Long Term Evolution (LTE) networks for Machine-to-Machine (M2M) communication, particularly in real-time traffic reporting systems. It addresses significant challenges such as end-to-end delays and disconnection issues common with 2G/3G networks. The session highlights the need for effective resource allocation and Quality of Service (QoS) management to meet the diverse requirements of different vehicles and applications. Innovations in adaptive MIMO switching and various related works are also discussed to enhance M2M communications.

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Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution

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  1. Resources Allocation with QoS Provisioning for M2M services over Long Term Evolution Speaker: 劉姿瑾 Date: 25/09/2012

  2. Outline Introduction Background Issue Related works Solution Idea References

  3. Introduction • Motivation: Real-time traffic reporting system with vehicular communication could be greatly improved when using LTE. • Using 2G/3G cellular network may counter: • Long end-to-end delay • Disconnect when moving fast • The new traffic reporting system takes the advantages of m2m communication and LTE network. • Increasing data rate • Higher mobility • Reporting real-time data like images or video from • Cars • Roadside units

  4. Background • M2M – Machine-to-Machine: Devices can communicate with each other. • Machine Type Communication (MTC) / Information of Things (IoT) • All machines connected to Internet • Heterogeneous network • LTE • MIMO (Supporting Diversity and Multiplexing) • High data rate (Downlink up to 300Mbps) • Mobility (Up to 350 km/hr) • M2M over LTE: Devices connect to Internet via LTE. • Directly connect • MTCGW – MTC Gateway • Pros • Mobility • Lower construction cost • Challenges • Different QoS requirements • Resource allocation • Fairness among devices/users

  5. Issue • To satisfy all users with different QoSlevels, and reach the maximum possible spectrum efficiency, there are many aspects to concern: • QoS Levels: • Different types of vehicles and data • Location • Instant Channel Quality • Which channel conditions to take are decided by what kind of network the devices used. • Adaptive MIMO Switching (AMS)

  6. Related Works

  7. Solution Idea

  8. References [1] Latency for Real-time Machine-to-Machine Communication in LTE-Based System Architecture; Nikaein, Navid; Krea, Srdjan; Wireless Conference 2011 - Sustainable Wireless Technologies (European Wireless), 11th European [2] Radio Resource Allocation in LTE-Advanced Celluler Networks with M2M Communications; KanZheng; Fanglong Hu; Wenbo Wang; Wei Xiang; Dohler, M.; Communications Magazine, IEEE [3] Adaptive Modulation and Coding with Hybrid-ARQ for Latency-constrained Networks; Villa, Tania; Merz, Ruben; Knopp, Raymond; Takyar, Uday; European Wireless, 2012. EW. 18th European Wireless Conference [4] Evolution of the Resource Reservation Mechanisms for Machine Type Communication Over Mobile Broadband Evolved Packet Core Architecture; Corici, M.; Fiedler, J.; Magedanz, T.; Vingarzan, D.; GLOBECOM Workshops (GC Wkshps), 2011 IEEE

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