A Novel Effective DQ-Based Access Protocol with Load Estimation for Massive M2M Communications

This paper proposes a novel effective protocol based on the Distributed Queue (DQ) mechanism to tackle the massive access issue in the cellular- based Machine-to-Machine (M2M) communications. To fully take the advantage of the DQ mechanism, we propose a novel method to avoid the inherent over- division problem by letting the base station first roughly probes the number of colliding devices in a Random Access Opportunity. Based on the probing result, the base station then randomly divides these devices into a determined number of groups and ``pushes" these groups to the end of a logical access queue. In addition, we develop an analytical model to accurately estimate the average access delay of the proposed protocol in the massive scenarios. Computer simulations are also performed to validate the correctness of the analytical model as well as the effectiveness of the proposed protocol in comparison with the LTE standard and conventional DQ access schemes.

[1]  Jelena V. Misic,et al.  Sharing It My Way: Efficient M2M Access in LTE/LTE-A Networks , 2017, IEEE Transactions on Vehicular Technology.

[2]  Jose F. Monserrat,et al.  5G Mobile and Wireless Communications Technology , 2016 .

[3]  H Bui Anh‐Tuan,et al.  Efficient Access Protocol for Massive M2M in LTE , 2017 .

[4]  Hung-Yu Wei,et al.  Estimation and Adaptation for Bursty LTE Random Access , 2016, IEEE Transactions on Vehicular Technology.

[5]  Stuart C. Schwartz,et al.  Stability properties of slotted Aloha with multipacket reception capability , 1988 .

[6]  Jesus Alonso-Zarate,et al.  Is the Random Access Channel of LTE and LTE-A Suitable for M2M Communications? A Survey of Alternatives , 2014, IEEE Communications Surveys & Tutorials.

[7]  Jian Yang,et al.  Adaptive Massive Access Management for QoS Guarantees in M2M Communications , 2015, IEEE Transactions on Vehicular Technology.

[8]  Jesus Alonso-Zarate,et al.  Energy analysis of a contention tree-based access protocol for machine-to-machine networks with idle-to-saturation traffic transitions , 2014, 2014 IEEE International Conference on Communications (ICC).

[9]  Olivier Hersent,et al.  M2M Communications: A Systems Approach , 2012 .

[10]  Chih-Yu Wang,et al.  Massive machine type communication in cellular system: A distributed queue approach , 2016, 2016 IEEE International Conference on Communications (ICC).

[11]  Jesus Alonso-Zarate,et al.  Energy Harvesting-Aware Distributed Queuing Access for Wireless Machine-to-Machine Networks , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[12]  Jesus Alonso-Zarate,et al.  Energy performance of distributed queuing access in Machine-to-Machine networks with idle-to-saturation transitions , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[13]  Hsiao-Hwa Chen,et al.  A random channel access scheme for massive machine devices in LTE cellular networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[14]  Jesus Alonso-Zarate,et al.  Efficient Contention Resolution in Highly Dense LTE Networks for Machine Type Communications , 2014, GLOBECOM 2014.

[15]  Jesus Alonso-Zarate,et al.  Contention resolution queues for massive machine type communications in LTE , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[16]  Sarah J. Johnson,et al.  Massive Multiple Access Based on Superposition Raptor Codes for Cellular M2M Communications , 2017, IEEE Transactions on Wireless Communications.

[17]  Jesus Alonso-Zarate,et al.  Efficient Contention Resolution in Highly Dense LTE Networks for Machine Type Communications , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[18]  G. Campbell,et al.  A near perfect stable random access protocol for a broadcast channel , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.