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Efficient Resource Allocation for
Device-to-Device
Communication Underlaying
LTE Network
Course name: Mobile Communications
Advisor: Dr. Ghorashi
Lecturer: M. Naslcheraghi
April, 2015
Network Model
Evolved Packet Core (EPC)
Mobility Management Entity (MME)
Serving Gateway (SGW)
packet data network (PDN)
Packet Gateway (P-GW)
Radio Resource and Access Technology
LTE has adopted Orthogonal Frequency
Division Multiplex (OFDM)
multiple access scheme for DL (from
eNodeB to UEs) is OFDM access
(OFDMA)
The radio access technology
in UL is single carrier frequency division
multiple access (SC-FDMA)
Channel Model
• distant dependent macroscopic pathloss and shadow fading pathloss:
• radiation pattern:
• Total Pathloss:
• The linear gain between the eNodeB and UE:
• For D2D communication, the gain between two Ues:
PROBLEM DEFINITION
intelligent selection of the shared RB would result in better
performance in termsof network throughput
We deny D2D connections if the the maximum distance between
D2D is higher than 25m
PROBLEM FORMULATION (DL)
PROBLEM FORMULATION (UL)
SIMULATION METHODOLOGY
Pathloss and Shadow fading
CQI , SINR, MCS
• SINR is calculated from the received signal power and
interference power level.
• CQI are calculated from the SINRs at the UEs and then fed
back to eNodeB.
• modulation and coding schemes (MCS) (QPSK, 16QAM,
64QAM) are considered with varying coding rates ranging
from 1/8 to 4/5.
RBs, Scheduling, Throuput
• number of RBs is 100 for 20MHz bandwidth. UL and DL bandwidth is
divided equally into m RBs.
• Three different scheduling algorithms are employed for the primary cellular
network: Round Robin (RR), Maximum Carrier to Interference ratio (Max
C/I) and Proportional Fair (PF) with CQI feedback.
• The throughput is calculated by mapping the SINR to the ideal link-
adaptation based LTE link-level capacity as follows:
RESULTS – Scenario 1
RESULTS – Scenario 2
Comparisons between random and heuristic
D2D RB as-signment algorithms
Impact of number of D2D connections on
network through-put
CONCLUSION
• The network performance improves when D2D communications share
radio resources with the primary network. However, D2D transmitter
causes interference to the UE receiver during the DL period and to the
mmobile eNodeB during the UL phase.
• greedy heuristic algorithm improves network performance in terms sum of
cell and D2D throughput without causing significance harm to the primary
cellular network for all standard scheduling algorithms of the primary
network.
• With the increase of D2D connections, although the cell throughput has
decreased, the sum of cell and D2D throughput has increased significantly
with the proposed algorithm.
• As
• the eNodeB remains in control of D2D connections, D2D communication
is a promising integration for LTE Advanced network.
Reference
• Efficient Resource Allocation for Device-to-Device Communication Underlaying
LTE Network, 2010 IEEE 6th International Conference on Wireless and Mobile
Computing, Networking and Communications 978-1-4

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Efficient resource allocation for device to-device

  • 1. Efficient Resource Allocation for Device-to-Device Communication Underlaying LTE Network Course name: Mobile Communications Advisor: Dr. Ghorashi Lecturer: M. Naslcheraghi April, 2015
  • 2. Network Model Evolved Packet Core (EPC) Mobility Management Entity (MME) Serving Gateway (SGW) packet data network (PDN) Packet Gateway (P-GW)
  • 3. Radio Resource and Access Technology LTE has adopted Orthogonal Frequency Division Multiplex (OFDM) multiple access scheme for DL (from eNodeB to UEs) is OFDM access (OFDMA) The radio access technology in UL is single carrier frequency division multiple access (SC-FDMA)
  • 4. Channel Model • distant dependent macroscopic pathloss and shadow fading pathloss: • radiation pattern: • Total Pathloss: • The linear gain between the eNodeB and UE: • For D2D communication, the gain between two Ues:
  • 5. PROBLEM DEFINITION intelligent selection of the shared RB would result in better performance in termsof network throughput We deny D2D connections if the the maximum distance between D2D is higher than 25m
  • 10. CQI , SINR, MCS • SINR is calculated from the received signal power and interference power level. • CQI are calculated from the SINRs at the UEs and then fed back to eNodeB. • modulation and coding schemes (MCS) (QPSK, 16QAM, 64QAM) are considered with varying coding rates ranging from 1/8 to 4/5.
  • 11. RBs, Scheduling, Throuput • number of RBs is 100 for 20MHz bandwidth. UL and DL bandwidth is divided equally into m RBs. • Three different scheduling algorithms are employed for the primary cellular network: Round Robin (RR), Maximum Carrier to Interference ratio (Max C/I) and Proportional Fair (PF) with CQI feedback. • The throughput is calculated by mapping the SINR to the ideal link- adaptation based LTE link-level capacity as follows:
  • 14. Comparisons between random and heuristic D2D RB as-signment algorithms
  • 15. Impact of number of D2D connections on network through-put
  • 16. CONCLUSION • The network performance improves when D2D communications share radio resources with the primary network. However, D2D transmitter causes interference to the UE receiver during the DL period and to the mmobile eNodeB during the UL phase. • greedy heuristic algorithm improves network performance in terms sum of cell and D2D throughput without causing significance harm to the primary cellular network for all standard scheduling algorithms of the primary network. • With the increase of D2D connections, although the cell throughput has decreased, the sum of cell and D2D throughput has increased significantly with the proposed algorithm. • As • the eNodeB remains in control of D2D connections, D2D communication is a promising integration for LTE Advanced network.
  • 17. Reference • Efficient Resource Allocation for Device-to-Device Communication Underlaying LTE Network, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications 978-1-4