PROJECT TITLE :

Power Allocation Criteria for Distributed Antenna Systems

ABSTRACT:

During this paper, we discuss three completely different design criteria for a distributed antenna system (DAS). They include maximizing throughput underneath the constraint of the transmit power, minimizing the overall transmit power whereas guaranteeing the minimum spectral efficiency (SE) requirements, and maximizing energy efficiency (EE) under the constraints of minimum SE necessities and overall transmit power. The optimization issues for the primary two criteria are signomial programming (SP) problems when considering the interference among the mobile stations (MSs), which are nonlinear nonconvex and do not result in the closed-type solutions directly. Exploiting the character of geometric mean, we tend to remodel the SP issues into geometric programming (GP) issues, which will be solved by turning them into convex issues. For the third criterion, using the concept of fractional programming, we have a tendency to initial rework the fractional optimization downside into a similar optimization downside during a subtractive form, that is an SP downside. We tend to then obtain its resolution by remodeling the SP to the GP drawback as we have a tendency to have in hot water the previous two issues. Based mostly on these design criteria, three power allocation algorithms are developed for the downlink multiuser DAS. Depending on the applying environments, we have a tendency to will use the first and second criteria to attain the highest throughput and to avoid wasting energy, respectively, whereas balancing throughput and energy consumption using the third criterion.