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2022 International Balkan Conference on Communications and Networking, BalkanCom 2022 -- 22 August 2022 through 24 August 2022 -- 183326, This paper evaluates the effect of end-to-end delay on lifetime and the average bit error rate for wireless sensor networks where each sensor node sends its data to sink via directional antennas. Using Mixed Integer Programming, lifetime is optimized for circular network topologies with different numbers of nodes. Using both directional and omnidirectional antennas, different end-to-end delay restrictions are applied to the same sensor network to examine the effect on lifetime and average bit error rate. When delay restriction is relaxed, an increase in lifetime and a decrease in average bit error rate are observed for both antennas. In this case, the directional antenna benefits more from relaxing the delay restriction. In the end, an optimal end-to-end delay was determined which provides sufficient lifetime and bit error rate while taking into account data freshness. © 2022 IEEE.

30th Signal Processing and Communications Applications Conference, SIU 2022 -- 15 May 2022 through 18 May 2022 -- -- 182415, In this paper, the relationship between network lifetime and delay from source node to sink is analyzed for Wireless Sensor Networks. To examine the effect of delay on lifetime, different delay restrictions are applied to the same sensor network. Number of sensor nodes is increased gradually to study networks of different density. When delay restriction is relaxed, increase in lifetime is observed. In this case, the lifetime of dense networks increases more compared to sparse networks. Likewise, for a particular delay restriction limit, increasing the number of nodes results in a lifetime increase. Lifetime Increase Percentages are examined for detailed behavior of different restrictions. © 2022 IEEE.

2022 International Balkan Conference on Communications and Networking, BalkanCom 2022 -- 22 August 2022 through 24 August 2022 -- 183326, In this study, three-dimensional optimal trajectory planning is performed for the Unmanned Aerial Vehicle (UAV) with the base station (BS) attached to it to increase the service provided to the users. The case that heterogeneous quality of service (QoS) requirements for different users are considered. While planning the trajectory, the coverage area of the UAV-BS and backhaul capacity between the UAV-BS and Ground Base Station (GBS) are limited. Under these constraints, the aim is to find a trajectory for the UAV-BS that maximizes the total data rate provided to the users during the flight using reinforcement learning. With the application of Q-learning in our problem, the UAV-BS learns to take action to achieve the desired goal. As a result of trial and error processes with different learning parameters, appropriate parameters are determined and a reinforcement learning model is trained. Different communication scenarios are compared for analyzing the effects of the constraints. According to the effects of the mentioned constraints and heterogeneous QoS demands, UAV-BS's trajectory preferences and total transmission rate changes are examined. Three prominent results shows the effects of coverage, backhaul, and heterogeneous QoS. The UAV-BS tends to increase its altitude as the coverage constraint increases. Moreover, the backhaul constraint forces the UAV-BS's trajectory closer to the GBS. Lastly, UAV-BS takes into account different QoS requirements of users as much as possible. UAV-BS maximizes the total transmission rate by determining the most suitable trajectory to meet these constraints. © 2022 IEEE.

Huawei;Nokia;pix moving;Samsung;Technology Innovation Institute (TII), 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring -- 19 June 2022 through 22 June 2022 -- -- 182307, This article proposes a pre-equalization method to remove inter-numerology interference (INI) that occurs in multi-numerology OFDM frame structures of fifth-generation New Radio (5G-NR) and beyond, on the transmitter side. In the literature, guard bands, filters, and interference cancellation methods are used to reduce the INI. In this work, we mathematically model how the INI is generated and show how it can be removed completely for multi-numerology systems by deploying a pre-equalization matrix on the transmitter side. With this pre-equalization method, the need for guard bands and filters is eliminated and spectral efficiency is improved. © 2022 IEEE.

Huawei;Nokia;pix moving;Samsung;Technology Innovation Institute (TII), 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring -- 19 June 2022 through 22 June 2022 -- -- 182307, This article proposes a pre-equalization method to remove inter-numerology interference (INI) that occurs in multi-numerology OFDM frame structures of fifth-generation New Radio (5G-NR) and beyond, on the transmitter side. In the literature, guard bands, filters, and interference cancellation methods are used to reduce the INI. In this work, we mathematically model how the INI is generated and show how it can be removed completely for multi-numerology systems by deploying a pre-equalization matrix on the transmitter side. With this pre-equalization method, the need for guard bands and filters is eliminated and spectral efficiency is improved. © 2022 IEEE.