Optimization of Coverage and Throughput in Single-Cell eMBMS

Abstract

Multimedia Broadcast/Multicast Service (MBMS) based on point-to-multipoint (p-t-m) radio transmission was introduced by 3GPP to deliver broadcast service to a group of user equipments (UEs) in a cellular system. As a broadcast system with uplink feedback, its performance is limited by UEs in poor connections. To utilize the limited radio resource more efficiently, a simple but effective mechanism is proposed to improve the system throughput by sacrificing those UEs that are expensive to cover, which means the cost of this improvement is coverage degradation. We set a threshold for the SINR of UEs, and uplink feedback from UEs with G-factor lower than the threshold will be discarded in packet scheduling and link adaptation. Compared with other methods to increase the throughput, this mechanism has two advantages. First, the coverage can be exactly controlled by adjusting the threshold. Second, much higher throughput gain can be achieved for the same cost. Simulation results show that throughput will be increased by 22% with reasonable coverage degradation when there are 10 UEs per sector. Larger gains can be achieved with more UEs per sector.

Single Frequency-Based Device-to-Device-Enhanced Video Delivery for Evolved Multimedia Broadcast and Multicast Services

“…Diverse OMS-based approaches are proposed in LTE environments. Specifically, in [7] the authors propose different OMS algorithms that improve the total data rate by exploiting multi-user diversity; in [18] the best users are selected based on a signal to interference plus noise ratio (SINR) threshold, and the terminals that experience a SINR value below the threshold are not served at all. According to [19], multi-user diversity allows to guarantee a spectral efficiency equal to a pre-defined target value.…”

When D2D communication improves group oriented services in beyond 4G networks

“…Authors in [11] propose different solutions to improve the group data rate by exploiting multi-user diversity. In [12] the selection of the users to serve is based on a signal to interference plus noise ratio (SINR) threshold, where the terminals that experience a SINR value below the threshold are not served at all. Differently, the policy proposed in [13] is designed to guarantee a predefined target spectral efficiency, and to select the users that match this constraint.…”

A Low-Complexity Resource Allocation Algorithm for Multicast Service Delivery in OFDMA Networks

“…Works in [8] and [9] propose threshold-based RRM policies. According to the approach in [8], terminals experiencing a SINR value lower than a threshold are not considered in scheduling decisions, whereas in [9] the MCS for the multicast transmission is chosen with the aim to achieve a target spectral efficiency of 1 bit/s/Hz. In [10], authors propose different opportunistic multicast scheduling algorithms to maximize the total throughput and to analyze the throughput and delay tradeoffs for each considered algorithm.…”

“…In [10], authors propose different opportunistic multicast scheduling algorithms to maximize the total throughput and to analyze the throughput and delay tradeoffs for each considered algorithm. Although the approaches proposed in [8]- [10] allow meaningful throughput improvements, the price to pay for such improvements is a reduction in the number of users served in each time slot. Moreover, opportunistic multicasting requires the use of rateless coding for guaranteeing the reception of data streams to the users served in different time slots [7].…”