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This poster presents the design, development and test results of an energy consumption analysis module developed over ns3 Millimeter Wave (mmWave) communication for analyzing power consumption for 5G New Radio (NR) User Equipment (UE) during both continuous and discontinuous packet receptions. This module is important to analyze and explore the energy consumption behavior of the 5G communication protocols under the NR technology. The developed module includes the complete Radio Resource Control (RRC) state machine for 5G NR recommended by 3GPP Specification 38.840. To the best of our knowledge, the designed module is the first of its kind that provides a comprehensive energy analysis for the 5G NR UEs over mmWave communication.

In this work, we propose a real-time traffic scheduler framework that is generalized to handle both voice and video in the downlink of Orthogonal Frequency Division Multiple Access (OFDMA) based cellular networks like 3GPP Long Term Evolution (LTE). These networks are packet switched in nature. As a result, Packet Scheduling (PS) and Radio Resource Allocation (RRA) algorithms at the Base Station (BS) play an important role in achieving high capacity. The paper, thus, proposes a new RRA algorithm which combines time domain PS and frequency domain RRA, thereby increasing the system capacity of both VoIP and video users. The algorithm is also seen to improve the percentage user satisfaction while keeping the radio resource utilization nearly unchanged. Its performance is analyzed using LTE system parameters and evaluated according to ITU-R specified methodologies. Results of key performance indicators such as system capacity, scheduling delay, Physical Resource Block (PRB) utilization, percentage user satisfaction are shown.