2015/01/14 by Lorenzo Carlà, Carlà, Lorenzo, Francesco Chiti +5 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Multimedia (cs.MM) #Networking and Internet Architecture (cs.NI) #Performance (cs.PF) #Telecommunications and Broadcasting Technologies
paper · pdf · doi:10.48550/arxiv.1501.03310
openalex publication_date 2015/01/14 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
Long Term Evolution-Advanced (LTE-A) and the evolved Multimedia Broadcast\nMulticast System (eMBMS) are the most promising technologies for the delivery\nof highly bandwidth demanding applications. In this paper we propose a green\nresource allocation strategy for the delivery of layered video streams to users\nwith different propagation conditions. The goal of the proposed model is to\nminimize the user energy consumption. That goal is achieved by minimizing the\ntime required by each user to receive the broadcast data via an efficient power\ntransmission allocation model. A key point in our system model is that the\nreliability of layered video communications is ensured by means of the Random\nLinear Network Coding (RLNC) approach. Analytical results show that the\nproposed resource allocation model ensures the desired quality of service\nconstraints, while the user energy footprint is significantly reduced.\n