Performance Evaluation and Optimization of LPWA IoT Networks: A Stochastic Geometry Approach

Abstract

Leveraging grant-free radio access for enabling lowpower wide-area (LPWA) Internet of Things (IoT) connectivity has attracted lots of attention in recent years. Regarding lack of research on LPWA IoT networks, this work is devoted to reliability modeling, battery-lifetime analysis, and operation-control of such networks. We derive the interplay amongst density of the access points, communication bandwidth, volume of traffic from heterogeneous sources, and quality of service (QoS) in communications. The presented analytical framework comprises modeling of interference from heterogeneous sources with correlated deployment locations and time-frequency asynchronous radio-resource usage patterns. The derived expressions represent the operation regions and rates in which, energy and cost resources of devices and the access network, respectively, could be traded to achieve a given level of QoS in communications. For example, our expressions indicate the expected increase in QoS by increasing number of transmitted replicas, transmit power, density of the access points, and communication bandwidth. Our results further shed light on scalability of such networks and figure out the bounds up to which, scaling resources can compensate the increase in traffic volume and QoS demand. Finally, we present an energy-optimized operation control policy for IoT devices. The simulation results confirm tightness of the derived analytical expressions, and indicate usefulness of them in planning and operation control of IoT networks.

Efficient placement of edge computing devices for vehicular applications in smart cities

“…They are representative of realistic networks with devices densely clustered 49 in buildings or shopping centers [70]. First, we observe that OPT-DELTA is able to find the optimal solution within a short time for such large networks.…”

Energy-Efficient and Reliable IoT Access Without Radio Resource Reservation

“…The work presented in the paper builds-up on the conference works presented in [15,47]. In particular, the initial version of the reliability analysis for GFA, without considering replica transmissions and combining (in contrast to this version), was presented in [47].…”

“…The work presented in the paper builds-up on the conference works presented in [15,47]. In particular, the initial version of the reliability analysis for GFA, without considering replica transmissions and combining (in contrast to this version), was presented in [47]. Leveraging carrier frequency offset (CFO) for collision decoding was presented in [15], assuming channel-inversion power-control for IoT devices and a constant number of replica transmissions per packet.…”

“…• Employing an approach based on stochastic geometry, we derive closed-form statistics for reliability, delay, and energy consumption of the scheme. Moreover, the analytical model from [47] is further extended to incorporate the case in which the number of transmitted replicas is adapted to the long-term path-loss. We validate the derived expressions via simulations and use them to investigate performance tradeoffs in GFA protocol design.…”

A Stochastically Geometrical Poisson Point Process Approach for the Future 5G D2D Enabled Cooperative Cellular Network

“…The results confirmed that the proposed approach delivers superior results for backlogged and dynamic scenarios, even if the number of transmitters is large. Another approach was proposed in [67] for mitigating interferences, in which a tractable analytical model for large-scale heterogeneous IoT networks was designed. This approach utilizes a Poisson cluster process (PCP) approach, which takes the correlations among the device locations into account.…”