Multicast scheduling with resource fairness constraints

Abstract

Integration of multicast and unicast data in future radio access networks will be necessary in order to improve the resource efficiency and provide new services. Such integration requires new and efficient resource sharing mechanisms. These mechanisms need to be optimized to provide the best possible trade-off between resource efficiency and fairness. In this article, we consider a case where streaming multicast users are multiplexed together with elastic unicast users on a common time-slotted channel. We derive a system model to study the performance of various resource allocations strategies under proportional and resource fairness constraints. Fairness is directly defined in terms of the users' utilities rather than of the throughputs they are assigned to. We also describe an extension of the well-known unicast proportional fair scheduler to the multicast scenario. Through extensive simulations we demonstrate the performance of this scheduler for various traffic loads and multicast group sizes.

NUM-based rate allocation for streaming traffic via Sequential Convex Programming

“…For example, perceptual quality of FGS encoded video is smooth and can easily be approximated by (2). Moreover, the stepwise utility of SVC video streams [14] can also be roughly characterized by S-curve (2). Hard real-time applications such as traditional voice service require fixed transmission rate.…”

“…. , C 25 ) = (2,4,6,8,10). The 2nd column of Table I lists the results of the proposed rate allocation algorithm with step size γ = 10 −4 and the stopping criterion ǫ = 0.1.…”

Modeling and analysis of applying adaptive modulation coding in wireless multicast and broadcast systems

“…Such assumptions can be referred in [21], and it is used in unicast AMC. Similar technique, using a transmission rate to represent the channel states, is also applied in multicast system [23]. In our works, we apply this technique to multicast and broadcast system with AMC.…”

Max-Min Throughput-Optimal Multicast Link Adaptation for Non-Identically Distributed Link Qualities

“…Apparently, the paper does not consider that a UE of one cluster can overhear the transmission with a rate adapted to another cluster. [7] is concerned with multicast scheduling as well, however, the proposed scheduling algorithm decides which of a number of multicast groups and unicast users are scheduled in each time interval and at what rate. For each multicast group, the transmit rate is set to the smallest supported rate of all UEs and coding is not considered.…”