Admission Control Algorithms for QoS-Constrained Multicell MISO Downlink Systems

Abstract

Abstract-The problem of admission control in a multicell downlink multiple-input single-output system is considered. The objective is to maximize the number of admitted users subject to the signal-to-interference-plus-noise ratio constraint for each admitted user and a transmit power constraint at each base station. We cast the admission control problem as an 0 minimization problem. This problem is known to be combinatorial NP-hard. Hence, we have to rely on suboptimal algorithms to solve it. We first approximate the 0 minimization problem via a non-combinatorial one. Then, we propose centralized and distributed algorithms to solve the non-combinatorial problem. To develop the centralized algorithm, we use the sequential convex programming method. The distributed algorithm is derived by using the alternating direction method of multipliers in conjunction with sequential convex programming. We show numerically that the proposed admission control algorithms achieve a near-to-optimal performance. Next, we extend the admission control problem to provide fairness, where a long term fairness among the users is guaranteed. We focus on proportional and max-min fairness and propose dynamic control algorithms via Lyapunov optimization. It is shown numerically that the proposed fair admission control algorithms guarantee fairness among the users.

On the Feasibility of URLLC for 5G-NR V2X Sidelink Communication at 5.9 GHz

“…Shashika et al [10] proposed an optimization algorithm to tackle admission control optimization in a Multiple-Input Single-Output system. In [11], Ginige et al proposed a coexistence support for both eMBB and URLLC users in 5G-NR, and pointed out the necessity of controlling the admissions of eMBB users to facilitate scheduling for all URLLC users.…”

Admission Control and Power Allocation for NOMA-Based Satellite Multi-Beam Network

“…Remark: The designed algorithm is a process of improving the utility function as defined in (20) iteratively. It can be seen that the utility function of each subchannel is improved in each request.…”

“…The complexity of simplex method in the worst case is the exponential complexity. The complexity of interior point method is calculated according to [20]. There are KM variables and 2KM + 1 inequality constraints.…”

“…Meanwhile, the optimizations of spectral efficiency and energy efficiency were provided on the basis of ensuring the admission number of users, respectively. By using an alternating direction method of multipliers, a distributed admission control algorithm was proposed for multiple-input single-output systems in [20]. With an application of decomposition, a closed-form solution for admission control optimization problem was given for device-to-device system in [21].…”

Power allocation scheme for downlink and uplink NOMA networks

“…Due to the increase in the number of admitted users, optimal admission control schemes are urgently needed. In [12], a new suboptimal scheme was presented to increase admitted users. For users who need to access at the same time, Abbes et al [13] proposed a new joint scheme based on utility functions.…”