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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. Using this framework, we formulate the optimal 
margin adaptive allocation problem, and based on its structure, 
we propose two sub-optimal 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
system complexity and data rate, and comparisons are made 
between the proposed optimal and suboptimal approaches. 
EXISTING SYSTEM: 
General radio resource allocation problems, particularly 
for systems such as orthogonal frequency division multiplexing 
(OFDM) fall in to two major classifications, namely the rate and 
margin adaption (RA and MA) problems. RA problems try to 
allocate resources to maximize system throughput for a given 
power constraint, while MA problems try to minimize 
transmission power and maintain a minimum throughput 
guarantee. The latter of which is essential for energy efficient 
scheduling. In recent years, MA problems have been well-studied 
for a general OFDMA transmission system. However, 
more modern systems, such as 3GPP-LTE, utilize localized 
Single Carrier Frequency Division Multiple Access (SC-FDMA) 
at the physical layer for uplink transmissions. With localized 
SC-FDMA, subcarriers can only be allocated contiguously in
frequency. The use of localized SC-FDMA has been shown to 
offer improved peak to average power ratio (PAPR) compared 
to OFDM. This however imposes a limitation of contiguous 
frequency block assignment, and thus eliminates direct 
application of traditional MA framework as described above. 
Furthermore, the finite set of modulation and coding schemes 
(MCS) used in modern communication systems dramatically 
increases the optimal allocation complexity. 
DISADVANTAGES OF EXISTING SYSTEM: 
· The objective function in this case is to maximize the cell 
transmission rate rather than minimize transmission power. 
· Mobile battery resources are not efficiently utilized. 
PROPOSED SYSTEM: 
We propose a method of performing resource allocation 
that exploits the periodicity of the HARQ process in scheduler 
design. We propose the use of a block time-frequency domain
packet scheduler (BTFDPS). This approach reduces the amount 
of scheduling decisions required for uplink traffic in addition to 
simplifying incorporation of synchronous HARQ into the 
framework. At each block time-frequency frame, resources are 
allocated dynamically relative to the required throughput, 
priority, and number of on-going transmissions. Power 
allocation is minimized per unit time to meet constraints 
resulting in minimizing energy expended for transmission. 
ADVANTAGES OF PROPOSED SYSTEM: 
· Power allocation is minimized. 
· It reduces the amount of scheduling decisions required for 
uplink traffic.
SYSTEM ARCHITECTURE: 
SYSTEM CONFIGURATION:- 
HARDWARE REQUIREMENTS:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 512 MB(min) 
 Hard Disk - 40 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse
  Monitor - LCD/LED 
SOFTWARE REQUIREMENTS: 
• Operating system : Windows XP 
• Coding Language : Java 
• Data Base : MySQL 
• Tool : Net Beans IDE 
REFERENCE: 
Dan J. Dechene and Abdallah Shami, “Energy-Aware Resource Allocation 
Strategies for LTE Uplink with Synchronous HARQ Constraints”IEEE 
TRANSACTIONS ON MOBILE COMPUTING, VOL. 13, NO. 2, FEBRUARY 
2014.
Energy aware resource allocation strategies for lte uplink with synchronous harq constraints

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Energy aware resource allocation strategies for lte uplink with synchronous harq constraints

  • 1. 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. Using this framework, we formulate the optimal margin adaptive allocation problem, and based on its structure, we propose two sub-optimal 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
  • 2. system complexity and data rate, and comparisons are made between the proposed optimal and suboptimal approaches. EXISTING SYSTEM: General radio resource allocation problems, particularly for systems such as orthogonal frequency division multiplexing (OFDM) fall in to two major classifications, namely the rate and margin adaption (RA and MA) problems. RA problems try to allocate resources to maximize system throughput for a given power constraint, while MA problems try to minimize transmission power and maintain a minimum throughput guarantee. The latter of which is essential for energy efficient scheduling. In recent years, MA problems have been well-studied for a general OFDMA transmission system. However, more modern systems, such as 3GPP-LTE, utilize localized Single Carrier Frequency Division Multiple Access (SC-FDMA) at the physical layer for uplink transmissions. With localized SC-FDMA, subcarriers can only be allocated contiguously in
  • 3. frequency. The use of localized SC-FDMA has been shown to offer improved peak to average power ratio (PAPR) compared to OFDM. This however imposes a limitation of contiguous frequency block assignment, and thus eliminates direct application of traditional MA framework as described above. Furthermore, the finite set of modulation and coding schemes (MCS) used in modern communication systems dramatically increases the optimal allocation complexity. DISADVANTAGES OF EXISTING SYSTEM: · The objective function in this case is to maximize the cell transmission rate rather than minimize transmission power. · Mobile battery resources are not efficiently utilized. PROPOSED SYSTEM: We propose a method of performing resource allocation that exploits the periodicity of the HARQ process in scheduler design. We propose the use of a block time-frequency domain
  • 4. packet scheduler (BTFDPS). This approach reduces the amount of scheduling decisions required for uplink traffic in addition to simplifying incorporation of synchronous HARQ into the framework. At each block time-frequency frame, resources are allocated dynamically relative to the required throughput, priority, and number of on-going transmissions. Power allocation is minimized per unit time to meet constraints resulting in minimizing energy expended for transmission. ADVANTAGES OF PROPOSED SYSTEM: · Power allocation is minimized. · It reduces the amount of scheduling decisions required for uplink traffic.
  • 5. SYSTEM ARCHITECTURE: SYSTEM CONFIGURATION:- HARDWARE REQUIREMENTS:-  Processor - Pentium –IV  Speed - 1.1 Ghz  RAM - 512 MB(min)  Hard Disk - 40 GB  Key Board - Standard Windows Keyboard  Mouse - Two or Three Button Mouse
  • 6.   Monitor - LCD/LED SOFTWARE REQUIREMENTS: • Operating system : Windows XP • Coding Language : Java • Data Base : MySQL • Tool : Net Beans IDE REFERENCE: Dan J. Dechene and Abdallah Shami, “Energy-Aware Resource Allocation Strategies for LTE Uplink with Synchronous HARQ Constraints”IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 13, NO. 2, FEBRUARY 2014.