Energy-Efficient Resource Allocation With Hybrid TDMA–NOMA for Cellular-Enabled Machine-to-Machine Communications

Machine-to-machine (M2M) communications, which are considered as an integral part of the Internet of Things (IoT), are being more and more ubiquitous. Meanwhile, due to the advantages of cellular networks (e.g., excellent coverage and mobility/roaming support), cellular-enabled M2M communication is a promising solution for M2M-based applications. However, there are significant challenges in cellular-enabled M2M communications due to the special features of M2M-based applications [e.g., massive concurrent uplink transmissions, small bursty traffic, and the high requirements of energy efficiency (EE)]. On the other hand, non-orthogonal multiple access (NOMA) can simultaneously serve multiple users at the same frequency and time by splitting different users in the power domain and thus increase the number of concurrent connections. In this paper, we propose an energy-efficient resource allocation scheme with hybrid time division multiple access (TDMA)–non-orthogonal multiple access (NOMA) for cellular-enabled M2M networks. First, we configure the user equipments (UEs) as the machine type communication gateways (MTCGs). Then, we propose our time sharing scheme. Next, we formulate the resource allocation problems as a noncooperative game. Finally, in order to obtain the optimal EE of machine type communication devices (MTCDs) and UEs in the game to confirm the power allocation, we transform each non-convex optimization problem into the convex form by using nonlinear fractional programming and solve the transformed problem by Dinkelbach’s method and Lagrangian duality theory. The simulation results show that our scheme can dramatically shorten the total transmission time at the cost of a little more total energy when compared to the existing works.

[1]  Zhiguo Ding,et al.  NOMA Meets Finite Resolution Analog Beamforming in Massive MIMO and Millimeter-Wave Networks , 2017, IEEE Communications Letters.

[2]  Wei Liu,et al.  A low redundancy data collection scheme to maximize lifetime using matrix completion technique , 2019, EURASIP J. Wirel. Commun. Netw..

[3]  Zhiwen Zeng,et al.  Adaption Resizing Communication Buffer to Maximize Lifetime and Reduce Delay for WVSNs , 2019, IEEE Access.

[4]  Ming Chen,et al.  Energy Efficient Non-Orthogonal Multiple Access for Machine-to-Machine Communications , 2017, IEEE Communications Letters.

[5]  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.

[6]  Werner Dinkelbach.  On Nonlinear Fractional Programming , 1967 .

[7]  Yoshihisa Kishiyama,et al.  Non-Orthogonal Access with Random Beamforming and Intra-Beam SIC for Cellular MIMO Downlink , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[8]  Xiaoli Chu,et al.  Energy-Efficient Uplink Resource Allocation in LTE Networks With M2M/H2H Co-Existence Under Statistical QoS Guarantees , 2014, IEEE Transactions on Communications.

[9]  T. Birdsall,et al.  Channel capacity in bits per joule , 1986 .

[10]  Jie Gu,et al.  Hierarchical resource allocation scheme for M2M communications enabled by cellular networks , 2018, 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[11]  Naixue Xiong,et al.  A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities , 2019, Future Gener. Comput. Syst..

[12]  H. Vincent Poor,et al.  Application of Non-Orthogonal Multiple Access in LTE and 5G Networks , 2015, IEEE Communications Magazine.

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

[14]  Guixia Kang,et al.  Random access and resource allocation for the coexistence of NOMA-based and OMA-based M2M communications , 2017, China Communications.

[15]  Michael S. Berger,et al.  Cloud RAN for Mobile Networks—A Technology Overview , 2015, IEEE Communications Surveys & Tutorials.

[16]  Qiang Liu,et al.  Cooperative channel allocation and scheduling in multi-interface wireless mesh networks , 2019, Peer-to-Peer Netw. Appl..

[17]  Jinsong Gui,et al.  Improving Lifetime of Cell-Edge Smart Sensing Devices by Incentive Architecture Based on Dynamic Charging , 2019, IEEE Access.

[18]  Mohamed-Slim Alouini,et al.  On Multiple Users Scheduling Using Superposition Coding over Rayleigh Fading Channels , 2013, IEEE Communications Letters.

[19]  A. Alexiou,et al.  M2M Scheduling over LTE: Challenges and New Perspectives , 2012, IEEE Vehicular Technology Magazine.

[20]  Hsiao-Hwa Chen,et al.  Radio Resource Management in Machine-to-Machine Communications—A Survey , 2018, IEEE Communications Surveys & Tutorials.

[21]  Ao Li,et al.  Energy-Efficient Power and Time-Slot Allocation for Cellular-Enabled Machine Type Communications , 2016, IEEE Communications Letters.

[22]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[23]  Lajos Hanzo,et al.  Maximizing energy-efficiency in multi-relay OFDMA cellular networks , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[24]  Anass Benjebbour,et al.  Non-orthogonal Multiple Access (NOMA) with Successive Interference Cancellation for Future Radio Access , 2015, IEICE Trans. Commun..

[25]  Naixue Xiong,et al.  Energy-Efficient Resource Sharing Scheme With Out-Band D2D Relay-Aided Communications in C-RAN-Based Underlay Cellular Networks , 2019, IEEE Access.

[26]  Mohsen Guizani,et al.  Home M2M networks: Architectures, standards, and QoS improvement , 2011, IEEE Communications Magazine.

[27]  Wei Xu,et al.  Fair Non-Orthogonal Multiple Access for Visible Light Communication Downlinks , 2017, IEEE Wireless Communications Letters.

[28]  Xiaoheng Deng,et al.  QoE-driven computation offloading for Edge Computing , 2019, J. Syst. Archit..

[29]  Hsiao-Hwa Chen,et al.  M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[30]  Zhiwen Zeng,et al.  Improving Energy Efficiency of Multimedia Content Dissemination by Adaptive Clustering and D2D Multicast , 2019, Mob. Inf. Syst..

[31]  Laurence T. Yang,et al.  Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks , 2016, IEEE Internet of Things Journal.

[32]  Mahsa Derakhshani,et al.  A NOMA-Enhanced Reconfigurable Access Scheme With Device Pairing for M2M Networks , 2019, IEEE Access.

[33]  F. Liu,et al.  Battery-Friendly Relay Selection Scheme for Prolonging the Lifetimes of Sensor Nodes in the Internet of Things , 2019, IEEE Access.

[34]  Teng Joon Lim,et al.  Relaying and Radio Resource Partitioning for Machine-Type Communications in Cellular Networks , 2017, IEEE Transactions on Wireless Communications.

[35]  Huanyu Wang,et al.  Power Control for Cognitive M2M Communications Underlaying Cellular With Fairness Concerns , 2019, IEEE Access.

[36]  Md. Farhad Hossain,et al.  An Architecture for M2M Communications Over Cellular Networks Using Clustering and Hybrid TDMA-NOMA , 2018, 2018 6th International Conference on Information and Communication Technology (ICoICT).

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

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

[39]  Hsiao-Hwa Chen,et al.  Uplink Scheduling and Power Allocation for M2M Communications in SC-FDMA-Based LTE-A Networks With QoS Guarantees , 2017, IEEE Transactions on Vehicular Technology.

[40]  Soo Young Shin,et al.  Exploiting Non-Orthogonal Multiple Access in Cooperative Relay Sharing , 2017, IEEE Communications Letters.

[41]  Pingzhi Fan,et al.  On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users , 2014, IEEE Signal Processing Letters.

[42]  Xiao Liu,et al.  A statistical approach to participant selection in location-based social networks for offline event marketing , 2019, Inf. Sci..

[43]  Ariel Rubinstein,et al.  A Course in Game Theory , 1995 .

[44]  Richard D. Gitlin,et al.  Enabling slotted Aloha-NOMA for massive M2M communication in IoT networks , 2018, 2018 IEEE 19th Wireless and Microwave Technology Conference (WAMICON).

[45]  Zhiwen Zeng,et al.  Improving Energy-Efficiency for Resource Allocation by Relay-Aided In-Band D2D Communications in C-RAN-Based Systems , 2019, IEEE Access.

[46]  Muhammad Imran,et al.  Non-Orthogonal Multiple Access (NOMA) for cellular future radio access , 2017 .