Age of Information in Energy Harvesting Aided Massive Multiple Access Networks

Given the proliferation of massive machine type communication devices (MTCDs) in beyond 5G (B5G) wireless networks, energy harvesting (EH) aided next generation multiple access (NGMA) systems have drawn substantial attention context energy-efficient data sensing and transmission. However, without adaptive time slot (TS) power allocation schemes, NGMA relying on stochastic sampling instants might lead to tardy actions associated both with high age information (AoI) as well consumption. For mitigating consumption, we exploit a pair sleep-scheduling policies, namely vacation (MV) policy start-up threshold (ST) policy, which are characterized three typical protocols, including time-division (TDMA), frequency-division (FDMA) non-orthogonal (NOMA). Furthermore, derive closed-form expressions for MTCD system’s peak AoI, formulated optimization objective under constraints EH power, status update rate stability conditions. An exact linear search based algorithm is proposed finding optimal solution by fixing rate. As design alternative, low complexity concave-convex procedure (CCP) also near-optimal original problem’s transformation into form represented difference two convex problems. Our simulation results show that algorithms beneficial terms yielding lower AoI at consumption protocols considered.