Heba I. GharibHussein M. ElattarHesham M. El-Badawy
The expanding interest for high-speed cellular networks and data delivery has promoted the advancement in the distribution of the data among users in a productive manner with high throughput. Amongst the most encouraging rising methods for content delivery are opportunistic multicast scheduling schemes. These schemes enhance the system throughput while minimizing the data delivery delay by observing the time-varying nature of the user's different services demand. In this paper, we propose a model capable of achieving an improvement in the overall system performance. The paper first analyzes the system throughput using an optimization process based on an efficient user selection criteria by concatenating the transmission time intervals, TTIs, into multiple chunks. The obtained results are extended to heavy load networks where users are subjected to different channel operational conditions. Moreover, a composite effect of slow and fast fading channel is investigated. The obtained numerical results confirm theoretical results and suggest that the proposed model can achieve improvement in the overall system performance.
Tze-Ping LowMan-On PunY.-W. Peter HongC.‐C. Jay Kuo
Yulong WangXiaoxiang WangMingming LiQu Jing
Tze-Ping LowMan-On PunC.‐C. Jay Kuo
Qian LiZhiyong FengWei LiT. Aaron Gulliver
I. RubinHung-Bin ChangReuven Cohen