Speaker : Dan Zhao
Title : Optimal Offline Resource Allocation for Multiple Access Channel with Conferencing Links and a Shared Renewable Energy Source
Abstract:
This research investigates the optimal resource allocation for the Gaussian multiple access channel (MAC) with conferencing links, where the two transmitters could talk to each other via some wired rate-limited channels. Moreover, the two transmitters are assumed to be powered by a shared energy harvester, and a deterministic energy-harvesting (EH) model is adopted by assuming that the energy arrival times and the corresponding harvested amounts are non-causally known prior to transmissions. We formulate a continuous-time power allocation problem to characterize the maximum departure region over a finite time horizon for both cases with and without battery capacity constraint. By exploiting its convexity, this problem is simplified as a discrete-time problem and the optimal analytic solution is obtained. In particular, it is shown that there exists a certain maximum possible transmission rate (the capping rate) at one of the transmitters. Finally, we compare the performance of the optimal offline algorithm against that of the online ones.
Date: 9th October, 2013.
Time: 14.00-15.00 hrs
Venue: QMUL Maths:1.03