Opportunistic Scheduling of Machine Type Communications as Underlay to Cellular Networks

In this paper we present a simple method to exploit the diversity of interference in heterogenous wireless communication systems with large number of machine-type-devices (MTD). We consider a system with a machine-type-aggregator (MTA) as underlay to cellular network with a multi antenna base station (BS). Cellular users share uplink radio resources with MTDs. Handling the interference from MTDs on the BS is the focus of this article. Our method takes advantage of received interference diversity on BS at each time on each resource block and allocates the radio resources to the MTD with the minimum interference on the BS. In this method, BS does not need to take the interference from MTD into account in the design of the receive beamformer for uplink cellular user, hence, the degrees of freedom is not used for interference management. Our simulation results show that each resource block can be shared between a cellular user and an MTD, with almost no harmful interference on the cellular user.

[1]  Wan Choi,et al.  Interference Alignment by Opportunistic User Selection in 3-User MIMO Interference Channels , 2011, 2011 IEEE International Conference on Communications (ICC).

[2]  Matti Latva-aho,et al.  Improving Macrocell-Small Cell Coexistence Through Adaptive Interference Draining , 2012, IEEE Transactions on Wireless Communications.

[3]  Amitava Ghosh,et al.  Narrowband LTE-M System for M2M Communication , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[4]  Cong Shen,et al.  Dynamic spatial spectrum access with opportunistic orthogonalization , 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

[5]  Cong Shen,et al.  Opportunistic Spatial Orthogonalization and Its Application in Fading Cognitive Radio Networks , 2009, IEEE Journal of Selected Topics in Signal Processing.

[6]  Carsten Bockelmann,et al.  Massive machine-type communications in 5g: physical and MAC-layer solutions , 2016, IEEE Communications Magazine.

[7]  Tarik Taleb,et al.  Machine-type communications: current status and future perspectives toward 5G systems , 2015, IEEE Communications Magazine.

[8]  Wan Choi,et al.  Opportunistic Interference Aligned User Selection in Multiuser MIMO Interference Channels , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[9]  Harish Viswanathan,et al.  Fundamentals of Throughput Maximization With Random Arrivals for M2M Communications , 2013, IEEE Transactions on Communications.

[10]  Fredrik Gunnarsson,et al.  LTE release 14 outlook , 2016, IEEE Communications Magazine.

[11]  Riku Jäntti,et al.  Data aggregation in capillary networks for machine-to-machine communications , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[12]  Hao Xu,et al.  An overview of 3GPP enhancements on machine to machine communications , 2016, IEEE Communications Magazine.

[13]  Sungsoo Park,et al.  Capacity Enhancement Using an Interference Limited Area for Device-to-Device Uplink Underlaying Cellular Networks , 2011, IEEE Transactions on Wireless Communications.

[14]  Lars Thiele,et al.  Wireless Communication for Factory Automation: an opportunity for LTE and 5G systems , 2016, IEEE Communications Magazine.

[15]  Antonella Molinaro,et al.  Toward 5G densenets: architectural advances for effective machine-type communications over femtocells , 2015, IEEE Communications Magazine.

[16]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[17]  Arogyaswami Paulraj,et al.  Opportunistic Interference Alignment for MIMO Interfering Multiple-Access Channels , 2013, IEEE Transactions on Wireless Communications.

[18]  Haichuan Zhou,et al.  A Novel Interference Draining Scheme for Cognitive Radio Based on Interference Alignment , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[19]  Mérouane Debbah,et al.  From Spectrum Pooling to Space Pooling: Opportunistic Interference Alignment in MIMO Cognitive Networks , 2009, IEEE Transactions on Signal Processing.

[20]  Jelena V. Misic,et al.  Capillary Machine-to-Machine Communications: The Road Ahead , 2012, ADHOC-NOW.

[21]  Xingqin Lin,et al.  A Primer on 3GPP Narrowband Internet of Things , 2016, IEEE Communications Magazine.