Broadcasting With Side Information: Bounding and Approximating the Broadcast Rate

Index coding has received considerable attention recently motivated in part by applications such as fast video-on-demand and efficient communication in wireless networks and in part by its connection to network coding. Optimal encoding schemes and efficient heuristics were studied in various settings, while also leading to new results for network coding such as improved gaps between linear and non-linear capacity as well as hardness of approximation. The problem of broadcasting with side information, a generalization of the index coding problem, begins with a sender and sets of users and messages. Each user possesses a subset of the messages and desires an additional message from the set. The sender wishes to broadcast a message so that on receipt of the broadcast each user can compute her desired message. The fundamental parameter of interest is the broadcast rate,β, the average communication cost for sufficiently long broadcasts. Though there have been many new nontrivial bounds onβby Bar-Yossef(2006), Lubetzky and Stav (2007), Alon(2008), and Blasiak(2011) there was no known polynomial-time algorithm for approximatingβwithin a nontrivial factor, and the exact value ofβremained unknown for all nontrivial instances. Using the information theoretic linear program introduced in Blasiak(2011), we give a polynomial-time algorithm for recognizing instances withβ = 2and pinpointβprecisely for various classes of graphs (e.g., various Cayley graphs of cyclic groups). Further, extending ideas from Ramsey theory, we give a polynomial-time algorithm with a nontrivial approximation ratio for computingβ. Finally, we provide insight into the quality of previous bounds by giving constructions showing separations betweenβand the respective bounds. In particular, we construct graphs whereβis uniformly bounded while its upper bound derived from the naïve encoding scheme is polynomially worse.