Abstract-In this paper, we obtain the capacity region for the AWGN Multiple Access Channel (MAC) with transmitters equipped with energy harvesters. We next obtain the sum-of-rates capacity for the flat fading Multiple Access Channel with energy harvesting transmitters. We then develop low delay, adaptive transmission strategies that surprisingly achieve near optimal performance under finite battery resource constrained settings. We study the effect of asymmetries in the energy harvesting and characterize the achievable performance.

Abstract-In this paper, we show that packet blocking probability at the transmitter can be traded off with average queue delay for fading channels in environmentally powered wireless networks with bursty packet arrivals. Varying the size of the energy storage unit as well as that of the transmit buffer queue aids in the trade off. We cast the problem into a Markov Decision Process (MDP) and use Dynamic Programming to obtain the optimal scheduler. Further, we develop two different low complexity schedulers that achieve near optimal performance in different system settings.

Abstract-In this paper, we obtain the capacity region for the AWGN Multiple Access Channel (MAC) with transmitters equipped with energy harvesters. We then develop low delay, adaptive transmission strategies that surprisingly achieve near optimal performance under finite battery resource constrained settings for the flat fading MAC. We describe the rate-fairness tradeoff inherent to the MAC and adapt the well known proportionally fair (PF) rate allocation to energy harvesting nodes. We develop new adaptive transmission strategies based on the PF rate allocation that achieves points above the rate-fairness boundary of the convex hull of the PF rate allocation.

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