Joint Packet Scheduling and Antenna Power Level Control for Wireless Forward Link Data Services

[[abstract]]In wireless environment, channel condition varies from time to time. If we can exploit multiuser diversity, the system capacity can be increased and the service quality is improved. To achieve this goal, QUALCOMM’s proportional fair algorithm (Q-PFA) is effective. But it might be insufficient at practical applications for some reasons. We propose viable techniques to improve Q-PFA, which essentially resolve issues related to the loss of multiuser diversity gain from initial values and dynamic ranges of monitored throughputs due to the arrival, absence, presence, and departure of an active user. Additionally, we propose a novel approach to further exploiting the multiuser diversity gain through dynamically adjusting the exponential smooth constant in throughput monitoring. In cellular networks, wireless service coverage is improved through partly radio coverage overlays between neighboring base stations (BSs). For wireless forward link data services, the overlay provides virtual soft handoff opportunities, but also introduces significant inter-call interference which reduces feasible service data rate. Using a power control algorithm to alleviate inter-cell interference is an emerging concept. We assume the BS’s transmitting power is adjustable between full power and low power if necessary and proposed the probabilistic power control algorithm (PPC). PPC first calculates the relative loading of current cell and neighboring cells. The result is used to determine if a BS should transmit at full power according to some probabilities depending on the relative loading. Our simulation shows that both the packet scheduling policies and PPC can remarkably improve some performance features like throughput, latency, and the behavior of temporal traffic hot spot.