ieee 2014 java mobile computing project energy-aware resource allocation strategies for lte uplink...

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ENERGY-AWARE RESOURCE ALLOCATION STRATEGIES FOR LTE UPLINK WITH SYNCHRONOUS HARQ CONSTRAINTS ABSTRACT: In this paper, we propose a framework for energy efficient resource allocation in multiuser localized SC-FDMA with synchronous HARQ constraints. Resource allocation is formulated as a two-stage problem where resources are allocated in both time and frequency. The impact of retransmissions on the time- frequency problem segmentation is handled through the use of a novel block scheduling interval specifically designed for synchronous HARQ to ensure uplink users do not experience ARQ blocking. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS| IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsem[email protected]

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Page 1: IEEE 2014 JAVA MOBILE COMPUTING PROJECT Energy-Aware Resource Allocation Strategies for Lte Uplink With Synchronous Harq Constraints

ENERGY-AWARE RESOURCE ALLOCATION

STRATEGIES FOR LTE UPLINK WITH

SYNCHRONOUS HARQ CONSTRAINTS

ABSTRACT:

In this paper, we propose a framework for energy efficient resource allocation in multiuser

localized SC-FDMA with synchronous HARQ constraints. Resource allocation is

formulated as a two-stage problem where resources are allocated in both time and

frequency. The impact of retransmissions on the time-frequency problem segmentation is

handled through the use of a novel block scheduling interval specifically designed for

synchronous HARQ to ensure uplink users do not experience ARQ blocking.

We propose two suboptimal approaches to minimize average power allocation required for

resource allocation while attempting to reduce complexity. Results are presented for

computational complexity and average power allocation relative to system complexity and

data rate, and comparisons are made between the proposed optimal and suboptimal

approaches.

Existing System:

GLOBALSOFT TECHNOLOGIESIEEE PROJECTS & SOFTWARE DEVELOPMENTS

IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE

BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS

CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401

Visit: www.finalyearprojects.org Mail to:[email protected]

Page 2: IEEE 2014 JAVA MOBILE COMPUTING PROJECT Energy-Aware Resource Allocation Strategies for Lte Uplink With Synchronous Harq Constraints

In this paper, we propose a framework for energy efficient resource allocation in multiuser

localized SC-FDMA with synchronous HARQ constraints. Resource allocation is

formulated as a two-stage problem where resources are allocated in both time and

frequency. The impact of retransmissions on the time-frequency problem segmentation is

handled through the use of a novel block scheduling interval specifically designed for

synchronous HARQ to ensure uplink users do not experience ARQ blocking.

Proposed System:

We propose two suboptimal approaches to minimize average power allocation required for

resource allocation while attempting to reduce complexity. Results are presented for

computational complexity and average power allocation relative to system complexity and

data rate, and comparisons are made between the proposed optimal and suboptimal

approaches.

SYSTEM CONFIGURATION:-

HARDWARE CONFIGURATION:-

Processor - Pentium –IV Speed - 1.1 Ghz

RAM - 256 MB(min)

Hard Disk - 20 GB

Key Board - Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

Page 3: IEEE 2014 JAVA MOBILE COMPUTING PROJECT Energy-Aware Resource Allocation Strategies for Lte Uplink With Synchronous Harq Constraints

SOFTWARE CONFIGURATION:-

Operating System : Windows XP

Programming Language : JAVA

Java Version : JDK 1.6 & above.