Performance analysis for uplink NOMA-based cellular network with M2M/H2H co-existence

Owing to the growing proliferation of machine type communication devices and other high-end devices in conventional human-to-human (H2H) communication, it is inevitable that these types of communications will co-exist with each other in the next generation of cellular communications. This study investigates an uplink cellular network with machine-to-machine (M2M) and H2H co-existence, where a machine type communication gateway is deployed as a relay in the cellular network to forward the M2M messages to the base station (BS). Non-orthogonal multiple access (NOMA) has been adopted to transmit the data of H2H and M2M communications to the BS simultaneously. Considering the different delay-sensitive transmissions of M2M/H2H communications, the expressions for outage probability and effective capacity (EC) are theoretically derived with the constraints of quality-of-service requirements. Simulation results show that the NOMA scheme outperforms the orthogonal multiple access in terms of outage probability and EC.

[1]  Martin Maier,et al.  Coexistence Analysis of H2H and M2M Traffic in FiWi Smart Grid Communications Infrastructures Based on Multi-Tier Business Models , 2014, IEEE Transactions on Communications.

[2]  Ernesto Limiti,et al.  Mutual Coupling Suppression Between Two Closely Placed Microstrip Patches Using EM-Bandgap Metamaterial Fractal Loading , 2019, IEEE Access.

[3]  Victor C. M. Leung,et al.  A Survey of Recent Developments in Home M2M Networks , 2014, IEEE Commun. Surv. Tutorials.

[4]  Wei Xiang,et al.  Radio resource allocation in LTE-advanced cellular networks with M2M communications , 2012, IEEE Communications Magazine.

[5]  Akash Agarwal,et al.  Performance analysis for non-orthogonal multiple access (NOMA)-based two-way relay communication , 2019, IET Commun..

[6]  Soo Young Shin,et al.  Coordinated Direct and Relay Transmission Using Uplink NOMA , 2018, IEEE Wireless Communications Letters.

[7]  Salman A. AlQahtani.  Performance analysis of cognitive-based radio resource allocation in multi-channel LTE-A networks with M2M/H2H coexistence , 2017, IET Commun..

[8]  Ekram Hossain,et al.  Dynamic User Clustering and Power Allocation for Uplink and Downlink Non-Orthogonal Multiple Access (NOMA) Systems , 2016, IEEE Access.

[9]  Octavia A. Dobre,et al.  Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges , 2016, IEEE Communications Surveys & Tutorials.

[10]  Hsiao-Hwa Chen,et al.  Machine-to-Machine Communications in Ultra-Dense Networks—A Survey , 2017, IEEE Communications Surveys & Tutorials.

[11]  Xiaohu You,et al.  The Evolution of LTE Physical Layer Control Channels , 2016, IEEE Communications Surveys & Tutorials.

[12]  Lajos Hanzo,et al.  A Survey of Non-Orthogonal Multiple Access for 5G , 2018, IEEE Communications Surveys & Tutorials.

[13]  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.

[14]  Wei Xu,et al.  Energy Efficient Resource Allocation in Machine-to-Machine Communications With Multiple Access and Energy Harvesting for IoT , 2017, IEEE Internet of Things Journal.

[15]  Jinho Choi.  Effective Capacity of NOMA and a Suboptimal Power Control Policy With Delay QoS , 2017, IEEE Transactions on Communications.

[16]  Sarah J. Johnson,et al.  On the Fundamental Limits of Random Non-Orthogonal Multiple Access in Cellular Massive IoT , 2017, IEEE Journal on Selected Areas in Communications.

[17]  Vicent Pla,et al.  Performance Analysis and Optimal Access Class Barring Parameter Configuration in LTE-A Networks With Massive M2M Traffic , 2018, IEEE Transactions on Vehicular Technology.

[18]  Ernesto Limiti,et al.  Mutual-Coupling Isolation Using Embedded Metamaterial EM Bandgap Decoupling Slab for Densely Packed Array Antennas , 2019, IEEE Access.