10 problems

Let $N>1$, let $E$ denote the energy state, let $T_1,\ldots,T_N$ denote the ages of information of the $N$ processes, and define … Let $E_p$ and $E_s$ be the probing and sampling e…

eSampling technology conjecture. The concept of eSampling can also be combined with alternative ADC technologies other than S/H.

Optimality conjecture. The optimality of the proposed policies can be extended from the considered subset to all online policies.

Consider the capacity of the wireless information and power transfer channel under average power constraints and output outage probability (OOP) constraints, where OOP constraints…

In an age-of-information scheduling system with energy harvesting, finite battery capacity, and age-based threshold policies, let the highest energy state denote the battery state…

Minimum-length conjecture. If the optimal policy uses all available energy, so that $E_s(T)=E^*(T)$, then $E^*(t)$ minimizes this length among all feasible transmitted-energy curve…

Let $M_f$ be the energy threshold governing whether the small cell fetches contents from the macro base station, with smaller $M_f$ corresponding to more aggressive fetching and ca…

Let $p_t$ denote the transmission probability of a secondary transmitter and let $P_s$ denote the transmit power of the secondary transmitter in the case $M>2$, where $M$ is the ba…

Power-policy suboptimality conjecture. All such power policies are suboptimal because they fail to control the overflow in the battery.

The channel has two encoders with energy-harvesting states, and achievable regions can be obtained using either Shannon strategies or block Markov coding to convey compressed state…