Effect of Switching Energy in Different Low Power Modes in Duty Cycling Sensor Network

Duty cycling is one of the most efficient power saving mechanisms to prolong sensor network lifetime. In the existing duty cycling networks, low latency and high network connectivity are achieved by shortening the duty cycling parameter that means increasing the frequency of switching between sleep-awake states. However, switching energy is generally not considered in energy efficiency analyses of sensor network. In this paper, the energy cost for switching and different sleeping modes are investigated for sensor network lifetime. To this end, we present a linear programming (LP) formulation which allow to analyze the energy consumption of the sensor network while guarantying the optimum load distribution for maximum lifetime. Proposed mathematical programming model can be applied any synchronized duty cycling mechanism with a fixed duty cycling periods. Analytical results reveal that the switching energy is not negligible effect on network lifetime

IoT Underlying Cellular Uplink Through D2D Communication Principle

Device-to-device (D2D) communication is an innovative technique within cellular networks, holding great potential for future wireless communication systems, particularly for the Internet of Things (IoT). One key advantage of D2D communication is its ability to alleviate cellular traffic congestion, as many IoT applications may prefer to use cellular networks due to interoperability and compatibility. In this paper, we propose a novel opportunistic channel access model and adaptive power control strategy for a cluster of IoT transmitter-receiver pairs (referred to as D2D pairs) underlying the cellular uplink. Our objective is to assess the feasibility of leveraging this proposed model for offloading IoT traffic. To this end, we evaluate the model’s performance under various parameter settings, considering practical limitations such as total power restrictions and minimum spectral efficiencies. Additionally, we compare the results against two baseline power control strategies. Our findings indicate that instead of constructing a new and dedicated network architecture for IoT applications, it is possible to offload IoT-generated traffic through D2D communication underlying the cellular uplink. This approach not only avoids detrimental effects on the cellular network’s traffic but also provides satisfactory performance for IoT users

Comparing Resource Sharing Methods for Device-to-Device Communication in Cellular Networks

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYWOS: 000413813100535Device-to-device communication is a cellular network communication technique in which cellular user devices directly communicate with each other without a base station. In the present work, resource sharing methods of device device users and cellular users are examined in terms of channel capacity gain. For this purpose, the problem of determining the transmit power values that provide the best data rate has been solved using nonlinear programming. The analysis is shown numerically for randomly generated cellular network scenarios. As a result, it has been shown that non orthogonal resource sharing method in device-to-device communication provides higher data rate gain compared to the orthogonal channel sharing method.Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Uni

Latency Aware NOMA based Device-to-Device Communication

European Conference on Networks and Communications (EuCNC) -- JUN 18-21, 2018 -- Ljubljana, SLOVENIAWOS: 000449558600078Device-to-Device (D2D) links in cellular networks are expected to satisfy the increasing the local data traffic demands. This technique aims to admit more users into the network, providing spectral gains over traditional cellular communication. In this paper, we study a latency-aware resource allocation problem in which cellular devices in proximity communicate with each other directly. We consider the D2D link to underlay the cellular uplink where one cellular user and a group of D2D candidate users exist. Based on the channel state and the latency constraint, one of the D2D users are chosen to share the channel with the cellular user in non-orthogonal multiple access (NOMA) fashion. We formulate the problem as a mixed integer non-linear programming, where the sum data rate is maximized subject to the interference and latency restrictions, and evaluate the performance in terms of latency and throughput for different implementation strategies

Resource sharing and scheduling in device-to-device communication underlying cellular network

Device-to-Device (D2D) communication is one of the promising technology for the future 5G networks. Utilizing D2D in cellular networks has advantage in terms of capacity and delay. However, in D2D underlay cellular setting, the main concern is quality of service (QoS) for the cellular user due to the mutual interference between D2D user and the cellular user (CU). To utilize the gain brought by D2D setting without violating QoS of the CU, resource sharing is an important design criteria. To this end, we present an optimization model to investigate a resource sharing problem combined with scheduling in a D2D uplink underlay setting. We have used the proposed model to investigate an example resource sharing scenario, in which multiple D2D pairs share the uplink resource of CU, and identified delay and sum throughput for different parameter settings. We observed that there is a significant gain in terms of sum-throughput in allowing a small number of D2D pairs to re-use the cellular resources