Scalability Improvement of IEEE 802.11ah IoT Networks

In this paper, we propose a non-orthogonal multiple access (NOMA) based grouping method for IEEE 802.11ah, promising platform the internet of things (IoT). The improves scalability IoT networks, by reducing collisions in points (APs). proposed puts those devices (IoT-Ds) whose channel gains are far enough from each other, i.e., who satisfy NOMA constraints, same group. Therefore, using successive interference cancellation (SIC), AP is able to decode simultaneous signal transmissions IoT-Ds To assign into groups and determine their transmission power, formulate total throughput maximization problem as joint optimal power allocation problem, which non-convex mixed-integer programming problem. We convert it convex quadratic fractional programming, then solve augmented Lagrange multiplier (ALM) method. Moreover, reduce complexity solution, fast allocate group parallel. Simulation results show that methods have outstanding performance compared conventional association identifier (AID)-based method; besides, network terms throughput, consumption utilization dramatically because collision reduction IoT-Ds, achieved deploying SIC. Furthermore, decreases computational greatly at expense small performance.