In this paper, we address the scalability issue in designing LTE-D2D-based offloading schemes. We propose a scalable method, named JRW-D2D-SC, that offloads the intracellular unicast/multicast traffic using a side-links network of User Equipments (UEs). The devised scheme does this while keeping the control plane inside the LTE-A base station (eNB). By selecting relays and allocating OFDMA resources, the eNB manages to reroute the unified-model traffic from sources to destinations alleviating the cellular infrastructure from the data-plane overhead. To increase the utility of the LTE-D2D relaying network, the eNB solves the routing and the resource block allocation problem simultaneously. Like its counterpart in our previous work, JRW-D2D-SC addresses factors that limit the spectrum reuse and other LTE-D2D limitations such as half-duplex operation and contiguity in resource block allocations. However, we base our proposal on a novel formulation for the problem. The scheme employs an algorithm based on the Branch-and-Cut method to solve the resulted Mixed-Integer Linear Problem (MILP). In doing so, JRW-D2D-SC is more scalable than its counterpart in the previous work and can handle more dense deployments of UEs which is typical in the targeted crowded-platform scenarios: such as in stadiums, waiting-halls in airports and train stations. Based on our home-grown LTE-D2D module for NS-3, extensive network simulations demonstrate that JRW-D2D-SC maintains the same performance metrics or better in small-scale deployments of the LTE-D2D relays while being able to extend the advantage of the offloading system to large-scale deployments.
[1]
John E. Mitchell,et al.
Integer Programming: Branch and Cut Algorithms
,
2009,
Encyclopedia of Optimization.
[2]
Kiseon Kim,et al.
Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey
,
2013,
IEEE Communications Surveys & Tutorials.
[3]
Klaus Wehrle,et al.
Modeling and Tools for Network Simulation
,
2010,
Modeling and Tools for Network Simulation.
[4]
Nathann Cohen.
Several Graph problems and their Linear Program formulations
,
2019
.
[5]
Cisco Visual Networking Index: Forecast and Methodology 2016-2021.(2017) http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual- networking-index-vni/complete-white-paper-c11-481360.html. High Efficiency Video Coding (HEVC) Algorithms and Architectures https://jvet.hhi.fraunhofer.
,
2017
.
[6]
Yuan Liu,et al.
Energy efficiency in multicast multihop D2D networks
,
2016,
2016 IEEE/CIC International Conference on Communications in China (ICCC).
[7]
Leonardo Babun,et al.
Multi-hop and D2D communications for extending coverage in public safety scenarios
,
2015,
2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops).
[8]
Weiwei Xia,et al.
Transmission scheduling and congestion control for multi-hop D2D underlaying cellular networks
,
2014,
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).
[9]
Ping Wu,et al.
Device-to-Device Multicast Content Delivery in cellular networks
,
2016,
MobiMedia.
[10]
Xiongwen Zhao,et al.
Winner Ii Channel Models Authors Partner Name Phone / Fax / E-mail
,
.
[11]
Nadjib Aitsaadi,et al.
Joint multicast routing and OFDM resource allocation in LTE-D2D 5G cellular network
,
2018,
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium.
[12]
Chandra R. Murthy,et al.
On optimal routing and power allocation for D2D communications
,
2015,
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).