A Dynamic Backoff Window Scheme for Machine-Type Communications in Cyber-Physical Systems

A cyber-physical system (CPS) requires a time-bounded communication process for real-time interaction between the digital world and the physical world so that they can form a tight loop. Using the machine-type communication (MTC) protocol for a large-scale CPS is a good solution. However, the MTC protocol uses a random access (RA) mechanism to solve the radio resource contention problem, but that inevitably causes access delays especially in scenarios when there is a large number of MTC devices. To meet CPS requirement and address this problem, we propose a dynamic backoff window adjustment (DBA) algorithm for a pull-based RA process that can appropriately distribute the failed MTC devices engaged in the backoff window, so as to expedite their contention retrial time interval and achieve increased success probability. Simulation results showed that the DBA algorithm significantly increases the success probability of MTC devices contending for RA, and as well, shortens the mean access delay of the MTC devices. In comparison to the standard RA backoff scheme and a novel dynamic backoff (DB) scheme, the DBA algorithm proved to be more effective and suitable for the CPS to the best of our knowledge.

[1]  Kwang-Cheng Chen,et al.  Toward ubiquitous massive accesses in 3GPP machine-to-machine communications , 2011, IEEE Communications Magazine.

[2]  Jenhui Chen,et al.  A delayed random access speed-up scheme for group paging in machine-type communications , 2015, 2015 IEEE International Conference on Communications (ICC).

[3]  Kwang-Cheng Chen,et al.  Cooperative Access Class Barring for Machine-to-Machine Communications , 2012, IEEE Transactions on Wireless Communications.

[4]  Jenhui Chen,et al.  A Dynamic Resource Allocation Scheme for Group Paging in LTE-Advanced Networks , 2015, IEEE Internet of Things Journal.

[5]  Kaijie Zhou,et al.  Packet aggregation for machine type communications in LTE with random access channel , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  M. Reisslein,et al.  Handling randomness of multi-class Random Access loads in LTE-Advanced network supporting small data applications , 2012, 2012 IEEE Globecom Workshops.

[7]  Chin-Fu Kuo,et al.  An Adaptive Contention Control Strategy for IEEE 802.15.4-Based Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[8]  Hung-Yu Wei,et al.  Lte-advanced and 4g Wireless Communications: Part 2 Overload Control for Machine-type-communications in Lte-advanced System Rach Procedure Signaling Flow Ue Behaviors Ran Overload Control Method , 2022 .

[9]  Riri Fitri Sari,et al.  Consecutive group paging for LTE networks supporting machine-type communications services , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[10]  Ray-Guang Cheng,et al.  Performance Analysis of Group Paging for Machine-Type Communications in LTE Networks , 2013, IEEE Transactions on Vehicular Technology.

[11]  Ray-Guang Cheng,et al.  Modeling and Estimation of One-Shot Random Access for Finite-User Multichannel Slotted ALOHA Systems , 2012, IEEE Communications Letters.

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

[13]  Dong In Kim,et al.  LTE/LTE-A Random Access for Massive Machine-Type Communications in Smart Cities , 2016, IEEE Communications Magazine.

[14]  Dan Keun Sung,et al.  Spatial Group Based Random Access for M2M Communications , 2014, IEEE Communications Letters.