DVB‐S2X: extending DVB‐S2 flexibility for core markets and new applications

Jia

et al. 2020

J Wireless Com Network

Adopting full frequency reuse in high throughput satellite (HTS) systems is expected to cope with huge communication demands and large user populations. Moreover, a kind of multicast transmission, which embeds the data of several users in each frame, can be employed to increase the efficiency of HTS systems. Multicast precoding is usually utilized in such systems to mitigate the co-frequency interference between beams and improve the efficiency of transmission. In this context, considering that the number of users may exceed the number of available communication resources in the system, we investigate user scheduling for the multicast transmission in HTS systems with full frequency reuse and multicast precoding. We perform user scheduling according to the user channel state information and decouple the scheduling problem into two phases: intra-beam and inter-beam scheduling. Intra-beam scheduling determines the users involved in the transmission of each frame with the purpose of reducing the influence of the multicast fashion. For intra-beam scheduling, we put forth a fixed-size user grouping algorithm. In contrast to previous studies, this algorithm takes the interference among beams into consideration during the scheduling. In inter-beam scheduling, user groups belonging to different beams are scheduled to improve the performance of the multiplexed transmission. An inter-beam scheduling algorithm is proposed to improve the fairness among users. The simulation results verify the superiority of the proposed algorithms in terms of fairness and spectral efficiency.

Section: Channel Modelmentioning

confidence: 99%

User scheduling for multicast transmission in high throughput satellite systems

Jia

et al. 2020

J Wireless Com Network

“…The phases of the channel vectors have a great effect on the system performance [27] and the phase variation δ i cannot be obtained by channel estimation [28]. Thus, we make a reasonable assumption that the CSI available for the scheduling,i.e.…”

Section: Channel Modelmentioning

confidence: 99%

User scheduling for multicast transmission in High Throughput Satellite systems

Jia

et al. 2020

Preprint

Adopting full frequency reuse in High Throughput Satellite (HTS) systems is expected to cope with huge communication demands and large user populations. Moreover, a kind of multicast transmission, which embeds the data of several users in each frame, can be employed to increase the efficiency of HTS systems. Multicast precoding is usually utilized in such systems to mitigate the co-frequency interference between beams and improve the efficiency of transmission. In this context, considering that the number of users may exceed the number of available communication resources in the system, we investigate user scheduling for the multicast transmission in HTS systems with full frequency reuse and multicast precoding. We perform user scheduling according to the user channel state information and decouple the scheduling problem into two phases: intra-beam and inter-beam scheduling. Intra-beam scheduling determines the users involved in the transmission of each frame with the purpose of reducing the influence of the multicast fashion. For intra-beam scheduling, we put forth a fixed-size user grouping algorithm. In contrast to previous studies, this algorithm takes the interference among beams into consideration during the scheduling. In inter-beam scheduling, user groups belonging to different beams are scheduled to improve the performance of the multiplexed transmission. An inter-beam scheduling algorithm is proposed to improve the fairness among users. The simulation results verify the superiority of the proposed algorithms in terms of fairness and spectral efficiency.

“…The phase variation θ n should not be neglected in multicast transmission because of its influence on the superposition of the signals from different feeds. However, θ n cannot be obtained by channel estimation 33 . Thus, the available CSI can be expressed as

{\overset{boldh}{true}}_{m} = e^{j φ_{m}} ((), \begin{matrix} center center center center \\ array G_{1, m} & array G_{2, m} & array \dots & array G_{N, m} \end{matrix}) .

…”

Section: Multicast Transmission In Hts Systemsmentioning

confidence: 99%

Subgrouping‐based multicast transmission over high‐throughput satellite systems with beam cooperation

Yang

et al. 2020

Satell Commun Network

This paper investigates the multicast transmission for multicast services in high-throughput satellite (HTS) systems. Considering the multibeam multicast feature of HTSs, cooperative transmission among beams is involved in to improve the efficiency of the multicast transmission. Since the multicast transmission rate depends on the worst user channel state, all the users experience an unreasonably low rate. In this situation, subgrouping techniques are employed to increase transmission rates of users. A subgrouping-based multicast transmission problem aiming at maximizing the lowest transmission rate of the users is studied to guarantee fairness among users. We formulate the problem as a max-min optimization problem and propose two low-complex subgrouping algorithms for this problem. Additionally, we also consider multicasting in a single beam and devise a two-layer transmission scheme for it. In the performance evaluation part, besides the impact of parameters on subgrouping performance, we analyze the performance and the computational complexity of the proposed algorithms. The results indicate that the two subgrouping algorithms can achieve favorable performance with low complexity.