Abstract

This paper presents virtual clusters based proportional fairness and resource allocation scheme for Localized Single Carrier Frequency Division Multiple Access (L-SC-FDMA). L-SC-FDMA has been selected as the uplink transmission scheme in 3GPP Long Term Evolution (LTE) due to its low Peak to Average Power Ratio (PAPR) over OFDMA in general and high rate-sum capacity over Interleaved SC-FDMA in particular. Virtual cluster-based proportional fairness (VCPF) scheduler exploits the link adaptation information available at MAC layer to form virtual clusters. The distributed proportional fairness scheduler ensures a minimum throughput for all users in the coverage area by assigning contiguous RBs, proportional to the throughput and the number of users in a particular cluster or group. Simulations have been performed using practical scenario of uniformly distributed users in Rayleigh faded coverage area and design formulas have been devised for network planning to get the best possible fairness with promising level of quality of service (QoS).

Highlights

  • Nowadays, growing demands of broadband services are provoking the deployment of 4G technologies like long term evolution (LTE) and Long Term Evolution (LTE)-Advanced [1]

  • This paper presents virtual clusters based proportional fairness and resource allocation scheme for Localized Single Carrier Frequency Division Multiple Access (L-single carrier frequency division multiple access (SC-FDMA))

  • Since SC-FDMA is based on orthogonal frequency division multiple access (OFDMA) with an additional Discrete Fourier Transform (DFT) block in the transmitter and Inverse DFT (IDFT) block in the receiver, the same benefits in terms of multipath mitigation and channel equalization are achievable in addition to low peak-to-average power ratio (PAPR)

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Summary

Introduction

Nowadays, growing demands of broadband services are provoking the deployment of 4G technologies like long term evolution (LTE) and LTE-Advanced [1]. Since SC-FDMA is based on OFDMA with an additional Discrete Fourier Transform (DFT) block in the transmitter and Inverse DFT (IDFT) block in the receiver, the same benefits in terms of multipath mitigation and channel equalization are achievable in addition to low peak-to-average power ratio (PAPR) This property is very important in uplink as the user equipment (UE) is generally a handheld device with limited transmit power capacity. A Game theoretical formulation of optimizing the allocation of OFDMA subcarriers and TDMA resource blocks for LTE networks has been presented, which leads to the design of an algorithm that achieves proportional fairness while providing throughput maximization, but this paper does not cater the contingency of subcarriers.

Problem Statement
Problem Formulation
Inequality Constraint Optimization Problem
B N log2
Group Fairness Scheduling Algorithm
Algorithm
Performance Evaluation
Simulation Model
Simulation Results
Conclusions
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