4 research outputs found

    Call Admission Control Optimization in 5G in Downlink Single-Cell MISO System

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    The main goal ofNew Radio 5G (NR) mobile technology is to support three generic service categories, each with very specific requirements. The first category is enhanced Mobile Broadband (eMBB), the second category relates to massive Machine-Type Communications (mMTC), and the third category relates to ultra-Reliable Low Latency Communications (URLLC). The slicing of the radio part of 5G network access network has greatly contributed to the emergence of these three categories of service with different qualities of service. This division therefore enabled the network to reserve the necessary resources for each category of services, orthogonally, and according to the performance required. In this article, we have dealt with the problem of Call Admission Control (CAC) in 5G networks where we have considered the case of the only two categories eMBB and uRLLC, which their users are served by a single cell. We calculated the maximum eMBB users admitted into the system with guaranteed data rate, while allocating power, bandwidth, and beamforming directions to all uRLLC users whose latency requirements and reliability are always guaranteed. We only considered the downlink communication, and we used the case of the multiple-input single-output (MISO) system. This CAC problem is formulated as a minimization problem l0 which is known as NP-hard problem. We therefore chose to use Sequential Convex Programming (SCP) to find a suboptimal solution to the problem

    A Downlink Resource Scheduling Strategy for URLLC Traffic

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    In this paper, we propose a dynamic resource scheduling of URLLC (Ultra-reliable low latency communication) and eMBB (Enhanced mobile broadband) services for the downlink in 5G networks. The eMBB traffic is characterized with the high bandwidth network services such as web browsing, video streaming, augmented realiy, and the URLLC services require sub-millisecond latency with low error rates (e.g., autonomous driving and remote surgery). Therefore, we aim to formalize a resource scheduling over a time-slot having multiplexed eMBB and URLLC traffic with the objective to protect eMBB users while maintaining URLLC stringent latency requirements. For this purpose, to guarantee minimum latency, we allow puncturing technique for URLLC traffic over the scheduled resources, and study the sequential scheduling scenario for the preempted eMBB users in the next time-slot. The simulations result show the efficacy of proposed dynamic scheduling method, and gain in priority based scheduling
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