Uplink Performance of NOMA-Based Combined HTC and MTC in Ultradense Networks

In this article, we study the uplink coverage and the uplink network throughput of an ultradense network (UDN) where human-type communication (HTC) users and machine-type communication (MTC) devices coexist. We employ non-orthogonal multiple access (NOMA) radio access to address the massive connectivity requirements of MTC while satisfying the high data rate requirements of HTC. To this end, stochastic geometry is utilized to model the network exploiting the inherent randomness of the proposed scenario. The enormous number of small cells in UDN along with NOMA can provide a common ground to satisfy the diverse requirements of both MTC and HTC. The distinguishing features of both UDNs and MTC are considered in modeling the network where stretched exponential path-loss (SEPL) is used to capture short-link distances. Moreover, the truncated channel inversion power control is employed in both HTC users (HTCUs) and MTC devices (MTCDs) to mitigate the uplink intercell interference. The results show the significant impact of various system parameters on the network performance. Closed-form and easy-computable expressions are derived for the considered performance metrics, and are assessed by Monte Carlo simulations.

[1]  Haijian Sun,et al.  Downlink and Uplink Non-Orthogonal Multiple Access in a Dense Wireless Network , 2017, IEEE Journal on Selected Areas in Communications.

[2]  Jeffrey G. Andrews,et al.  SINR and Throughput of Dense Cellular Networks With Stretched Exponential Path Loss , 2017, IEEE Transactions on Wireless Communications.

[3]  Zhu Han,et al.  V2X Meets NOMA: Non-Orthogonal Multiple Access for 5G-Enabled Vehicular Networks , 2017, IEEE Wireless Communications.

[4]  Herbert A. David,et al.  Order Statistics , 2011, International Encyclopedia of Statistical Science.

[5]  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.

[6]  Mort Naraghi-Pour,et al.  A Survey of Traffic Issues in Machine-to-Machine Communications Over LTE , 2016, IEEE Internet of Things Journal.

[7]  Zhu Han,et al.  Meets NOMA : Non-Orthogonal Multiple Access for 5 G Enabled Vehicular Networks , 2017 .

[8]  Seong-Lyun Kim,et al.  Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks , 2015, IEEE Transactions on Wireless Communications.

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

[10]  Holger Claussen,et al.  Towards 1 Gbps/UE in Cellular Systems: Understanding Ultra-Dense Small Cell Deployments , 2015, IEEE Communications Surveys & Tutorials.

[11]  Sami Hyrynsalmi,et al.  LoRa — A survey of recent research trends , 2018, 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

[12]  Dong In Kim,et al.  Uplink Vs. Downlink NOMA in Cellular Networks: Challenges and Research Directions , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[13]  Zhijin Qin,et al.  User Association and Resource Allocation in Unified NOMA Enabled Heterogeneous Ultra Dense Networks , 2018, IEEE Communications Magazine.

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

[15]  セオドア ジェイ. マイアズ Random phase multiple access system with meshing , 2009 .

[16]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[17]  Victor C. M. Leung,et al.  Grouping and Cooperating Among Access Points in User-Centric Ultra-Dense Networks With Non-Orthogonal Multiple Access , 2017, IEEE Journal on Selected Areas in Communications.

[18]  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.

[19]  Walaa Hamouda,et al.  Cellular LTE-A Technologies for the Future Internet-of-Things: Physical Layer Features and Challenges , 2017, IEEE Communications Surveys & Tutorials.

[20]  Zhi Chen,et al.  Block-Sparsity-Based Multiuser Detection for Uplink Grant-Free NOMA , 2018, IEEE Transactions on Wireless Communications.

[21]  Martin Haenggi,et al.  Successive interference cancellation in downlink heterogeneous cellular networks , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[22]  Walaa Hamouda,et al.  Capacity Analysis of Downlink NOMA-Based Coexistent HTC/MTC in UDN , 2019, 2019 International Conference on Communications, Signal Processing, and their Applications (ICCSPA).

[23]  Branka Vucetic,et al.  A Novel Analytical Framework for Massive Grant-Free NOMA , 2019, IEEE Transactions on Communications.

[24]  Murat Uysal,et al.  Next generation M2M cellular networks: challenges and practical considerations , 2015, IEEE Communications Magazine.

[25]  Xianbin Wang,et al.  Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions , 2018, IEEE Communications Surveys & Tutorials.

[26]  Lajos Hanzo,et al.  Multiple Access Design for Ultra-Dense VLC Networks: Orthogonal vs Non-Orthogonal , 2019, IEEE Transactions on Communications.

[27]  Amr M. Youssef,et al.  NOMA-Assisted Machine-Type Communications in UDN: State-of-the-Art and Challenges , 2020, IEEE Communications Surveys & Tutorials.

[28]  Ming Ding,et al.  A Brief History on the Theoretical Analysis of Dense Small Cell Wireless Networks , 2018, ArXiv.

[29]  Amr M. Youssef,et al.  Uplink Coverage and Capacity Analysis of mMTC in Ultra-Dense Networks , 2020, IEEE Transactions on Vehicular Technology.

[30]  Seung-Hoon Hwang,et al.  A survey on LPWA technology: LoRa and NB-IoT , 2017, ICT Express.

[31]  Amr M. Youssef,et al.  Ultra-Dense Networks: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[32]  Amr M. Youssef,et al.  Downlink coverage and average cell load of M2M and H2H in ultra-dense networks , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[33]  Matti Latva-aho,et al.  Aggregation and Resource Scheduling in Machine-Type Communication Networks: A Stochastic Geometry Approach , 2017, IEEE Transactions on Wireless Communications.

[34]  Tiejun Lv,et al.  Millimeter-Wave NOMA Transmission in Cellular M2M Communications for Internet of Things , 2018, IEEE Internet of Things Journal.

[35]  Zhi Chen,et al.  Efficient Multi-User Detection for Uplink Grant-Free NOMA: Prior-Information Aided Adaptive Compressive Sensing Perspective , 2017, IEEE Journal on Selected Areas in Communications.

[36]  Walaa Hamouda,et al.  Performance Analysis of Multiple Association in Ultra-Dense Networks , 2017, IEEE Transactions on Communications.