Frequency Reuse Techniques for Attaining both Coverage and High Spectral Efficiency in OFDMA Cellular Systems

Similar documents
Dynamic Frequency Hopping in Cellular Fixed Relay Networks

Dynamic Grouping and Frequency Reuse Scheme for Dense Small Cell Network

Dimensioning Cellular WiMAX Part II: Multihop Networks

An Overlaid Hybrid-Duplex OFDMA System with Partial Frequency Reuse

Analytical Evaluation of the Cell Spectral Efficiency of a Beamforming Enhanced IEEE m System

New Cross-layer QoS-based Scheduling Algorithm in LTE System

A REVIEW OF RESOURCE ALLOCATION TECHNIQUES FOR THROUGHPUT MAXIMIZATION IN DOWNLINK LTE

A Self-Organized Resource Allocation using Inter-Cell Interference Coordination (ICIC) in Relay-Assisted Cellular Networks

Radio Resource Allocation Scheme for Device-to-Device Communication in Cellular Networks Using Fractional Frequency Reuse

Multi-level Soft frequency reuse using improved Okumura-Hata path loss model

Performance Analysis of Fractional Frequency Reuse Based on Worst Case Signal to Interference Ratio in OFDMA Downlink Systems

Interference management Within 3GPP LTE advanced

BASIC CONCEPTS OF HSPA

Fractional Frequency Reuse Schemes and Performance Evaluation for OFDMA Multi-hop Cellular Networks

Cross-layer Network Design for Quality of Services in Wireless Local Area Networks: Optimal Access Point Placement and Frequency Channel Assignment

Improvement of System Capacity using Different Frequency Reuse and HARQ and AMC in IEEE OFDMA Networks

Technical Aspects of LTE Part I: OFDM

Mobile and Broadband Access Networks Lab session OPNET: UMTS - Part 2 Background information

A Practical Resource Allocation Approach for Interference Management in LTE Uplink Transmission

IEEE Broadband Wireless Access Working Group <

(R1) each RRU. R3 each

4G++: Advanced Performance Boosting Techniques in 4 th Generation Wireless Systems

Heterogeneous Networks (HetNets) in HSPA

CROSS-LAYER DESIGN FOR QoS WIRELESS COMMUNICATIONS

Differentiable Spectrum Partition for Fractional Frequency Reuse in Multi-Cell OFDMA Networks

Inter-Cell Interference Coordination in Wireless Networks

Daniel Bültmann, Torsten Andre. 17. Freundeskreistreffen Workshop D. Bültmann, ComNets, RWTH Aachen Faculty 6

Chutima Prommak and Boriboon Deeka. Proceedings of the World Congress on Engineering 2007 Vol II WCE 2007, July 2-4, 2007, London, U.K.

Partial Co-channel based Overlap Resource Power Control for Interference Mitigation in an LTE-Advanced Network with Device-to-Device Communication

Survey of Power Control Schemes for LTE Uplink E Tejaswi, Suresh B

Open-Loop and Closed-Loop Uplink Power Control for LTE System

Downlink Erlang Capacity of Cellular OFDMA

Optimal Resource Allocation in Multihop Relay-enhanced WiMAX Networks

Redline Communications Inc. Combining Fixed and Mobile WiMAX Networks Supporting the Advanced Communication Services of Tomorrow.

Half- and Full-Duplex FDD Operation in Cellular Multi-Hop Mobile Radio Networks

Inter-cell Interference Mitigation through Flexible Resource Reuse in OFDMA based Communication Networks

Impact of Electrical and Mechanical Antenna Downtilt on the Uplink of a WiMAX System with Soft Frequency Reuse

EasyChair Preprint. A User-Centric Cluster Resource Allocation Scheme for Ultra-Dense Network

On Channel-Aware Frequency-Domain Scheduling With QoS Support for Uplink Transmission in LTE Systems

Dynamic Subcarrier, Bit and Power Allocation in OFDMA-Based Relay Networks

Deployment and Radio Resource Reuse in IEEE j Multi-hop Relay Network in Manhattan-like Environment

Technical University Berlin Telecommunication Networks Group

03_57_104_final.fm Page 97 Tuesday, December 4, :17 PM. Problems Problems

Evaluation of Adaptive and Non Adaptive LTE Fractional Frequency Reuse Mechanisms

Performance Evaluation of Uplink Closed Loop Power Control for LTE System

Block Error Rate and UE Throughput Performance Evaluation using LLS and SLS in 3GPP LTE Downlink

A Glimps at Cellular Mobile Radio Communications. Dr. Erhan A. İnce

COMPARATIVE EVALUATION OF FRACTIONAL FREQUENCY REUSE (FFR) AND TRADITIONAL FREQUENCY REUSE IN 3GPP-LTE DOWNLINK Chandra Thapa 1 and Chandrasekhar.

Combination of Dynamic-TDD and Static-TDD Based on Adaptive Power Control

EENG473 Mobile Communications Module 2 : Week # (8) The Cellular Concept System Design Fundamentals

Submission on Proposed Methodology for Engineering Licenses in Managed Spectrum Parks

Load Balancing for Centralized Wireless Networks

GSM FREQUENCY PLANNING

Downlink Scheduling in Long Term Evolution

Carrier Frequency Synchronization in OFDM-Downlink LTE Systems

Interference Evaluation for Distributed Collaborative Radio Resource Allocation in Downlink of LTE Systems

Optimal Max-min Fair Resource Allocation in Multihop Relay-enhanced WiMAX Networks

OFDMA PHY for EPoC: a Baseline Proposal. Andrea Garavaglia and Christian Pietsch Qualcomm PAGE 1

Optimizing WiMAX: Mitigating Co-Channel Interference for Maximum Spectral Efficiency

Chapter 1 Introduction

On Fractional Frequency Reuse in Imperfect Cellular Grids

Downlink Packet Scheduling with Minimum Throughput Guarantee in TDD-OFDMA Cellular Network

Study on Coexistence between Long Term Evolution and Global System for Mobile Communication

OFDMA-BASED NETWORKS CAPACITY IMPROVEMENT USING ENHANCED FRACTIONAL FREQUENCY REUSE SCHEME

ABSTRACT 1. INTRODUCTION

ADJACENT BAND COMPATIBILITY OF TETRA AND TETRAPOL IN THE MHZ FREQUENCY RANGE, AN ANALYSIS COMPLETED USING A MONTE CARLO BASED SIMULATION TOOL

System Performance of Cooperative Massive MIMO Downlink 5G Cellular Systems

Qualcomm Research DC-HSUPA

Unit-1 The Cellular Concept

Chapter- 5. Performance Evaluation of Conventional Handoff

Dynamic Allocation of Downlink and Uplink Resource for Broadband Services in Fixed Wireless Networks. Kin K. Leung and Arty Srivastava

Planning of LTE Radio Networks in WinProp

Adaptive Soft Frequency Reuse for Inter-Cell Interference Coordination in SC-FDMA Based 3GPP LTE Uplinks

ETI2511-WIRELESS COMMUNICATION II HANDOUT I 1.0 PRINCIPLES OF CELLULAR COMMUNICATION

Chapter 2 Overview. Duplexing, Multiple Access - 1 -

WIRELESS 20/20. Twin-Beam Antenna. A Cost Effective Way to Double LTE Site Capacity

2-2 Advanced Wireless Packet Cellular System using Multi User OFDM- SDMA/Inter-BTS Cooperation with 1.3 Gbit/s Downlink Capacity

Multi-Cell Interference Coordination in LTE Systems using Beamforming Techniques

TDD and FDD Wireless Access Systems

Resource Allocation Strategies Based on the Signal-to-Leakage-plus-Noise Ratio in LTE-A CoMP Systems

HIERARCHICAL microcell/macrocell architectures have

ECC Report 276. Thresholds for the coordination of CDMA and LTE broadband systems in the 400 MHz band

Adaptive Modulation, Adaptive Coding, and Power Control for Fixed Cellular Broadband Wireless Systems: Some New Insights 1

Multiple Antenna Processing for WiMAX

Improved Channel Capacity and Interference Reduction in ML-SFR for Wireless Communication Systems

Interference Management for Co-Channel Mobile Femtocells Technology in LTE Networks

Mobile & Wireless Networking. Lecture 4: Cellular Concepts & Dealing with Mobility. [Reader, Part 3 & 4]

LTE-U Forum: Alcatel-Lucent, Ericsson, Qualcomm Technologies Inc., Samsung Electronics & Verizon. LTE-U SDL Coexistence Specifications V1.

Simulation Analysis of the Long Term Evolution

Deployment scenarios and interference analysis using V-band beam-steering antennas

JOURNAL OF INTERNATIONAL ACADEMIC RESEARCH FOR MULTIDISCIPLINARY Impact Factor 1.393, ISSN: , Volume 2, Issue 3, April 2014

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 3: Cellular Fundamentals

Cooperative Wireless Networking Using Software Defined Radio

Multihop Relay-Enhanced WiMAX Networks

Common Feedback Channel for Multicast and Broadcast Services

3G long-term evolution

Dynamic Fractional Frequency Reuse (DFFR) with AMC and Random Access in WiMAX System

Multi-Carrier HSPA Evolution

Smart Automatic Level Control For improved repeater integration in CDMA and WCDMA networks

Study of Handover Techniques for 4G Network MIMO Systems

Transcription:

Frequency Reuse Techniques for Attaining both Coverage and High Spectral Efficiency in OFDMA Cellular Systems Zheng Xie and Bernhard Walke Chair of Communication Networks (ComNets) RWTH Aachen University Aachen, Germany {tao walke}@comnets.rwth-aachen.de Abstract Inter-cell interference (ICI) is always a big obstacle to attain wide area coverage and high spectral efficiency in cellular systems. In this work we make a study of two well-known frequency reuse approaches, namely the Soft Frequency Reuse (SFR) scheme and the Incremental Frequency Reuse (IFR) scheme. Both of them aim to mitigate excessive ICI among neighboring cells. Based on a discussion of their advantages and limitations, we propose a novel method, named Enhanced Fractional Frequency Reuse (EFFR) scheme, which is combined with a power allocation and an interference-aware reuse mechanism to achieve not only ICI limitation at cell edge but also a great enhancement of overall cell capacity in orthogonal frequency division multiple access (OFDMA) based communication networks. We implement the proposed EFFR scheme in a system-level simulator and compare its performance with which using the SFR scheme, the IFR scheme as well as two classical reuse schemes. In order to reach a reliable evaluation, schemes are simulated with individual power masks, and using a scenario with surrounding cells up to 2 nd -tier. The simulation results show that the EFFR scheme outperforms all the other schemes and can gain substantial improvements in terms of both the overall cell capacity as well as the cell coverage. Moreover, through the evaluations we disclose some crucial hints, which impact the performance of the SFR scheme significantly. And consequently substantiates that the EFFR scheme is more flexible and robust than the SFR scheme. Keywords-Cellular system; frequency reuse; inter-cell interference mitigation; OFDMA; resource allocation I. INTRODUCTION The future wireless systems are envisaged to offer ubiquitous high data-rate coverage in large areas. With the Orthogonal frequency division multiple access (OFDMA) transmission technique, great benefits in handling inter-symbol interference, inter-carrier interference and high flexibility in the resource allocation can be reaped. Nevertheless, the co-channel interference (CCI) or so-called inter-cell interference (ICI) as a big challenge issue with OFDMA is still remained, which encumbers to attain wide area coverage and high spectral efficiency in cellular systems. It is known that effective reuse of resources in a cellular system can highly enhance the system capacity. With a smaller frequency reuse factor (FRF), more available bandwidth can be obtained by each cell. So, in this sense the classical FRF of 1 is desirable. However, with the usage of FRF-1, the most user terminals (UTs) are seriously afflicted with heavy ICI, especially near the cell edge. And that causes low cell coverage and inferior system capacity. The conventional method to figure out this problem is by increasing the cluster-order, which can mitigate the ICI efficiently, nonetheless at the cost of a decrease on available bandwidth for each cell. This could result in restricted data transmissions and lower system spectrum efficiency in the case of unbalanced traffic distribution among cells. To seek for improving cell-edge performance while retaining system spectrum efficiency of reuse-1, several solutions [1]-[5] have been proposed recently. Among them, the most representative approaches are the Soft Frequency Reuse (SFR) scheme [2], [4]-[5] and the Incremental Frequency Reuse (IFR) scheme [3]. These two methods concentrate on the high system spectrum efficiency with FRF- 1 and efficient reduction of ICI (especially near the cell edge) simultaneously. However, the IFR scheme only performs better than the classical reuse-1 scheme when just fewer traffic exists in a system. With the usage of the SFR scheme, cell capacity might be advanced with a careful range definition for partition of cell-centre users (CCU) and cell-edge users (CEU), yet the cell coverage can still not be guaranteed. Based on a thoroughly analyzing of these two approaches, in this work we will put forward a new design referred as Enhanced Fractional Frequency Reuse (EFFR) scheme for a better fulfillment of the goals, namely, to enhance the mean system capacity while restraining the ICI at cell edge. Moreover, since solutions with low system complexity and flexible spectrum usage are desirable, we take systems with distributed radio resource management into account. The remainder of this paper is organized as follows. In section II the two well-known approaches SFR and IFR for ICI mitigation in cellular OFDMA networks are outlined. Based on a discussion of their advantages and limitations respectively, a novel Enhanced Fractional Frequency Reuse 978-1-4244-6398-5/10/$26.00 2010 IEEE

(EFFR) scheme is contributed in section III, which intends to further improve the overall cell capacity while retaining a better cell-edge performance with exclusive usage of FRF of 3 to the CEUs. Then, in section IV, simulation results of five different frequency schemes with distinctive power masks are compared. Finally, the paper ends with some concluding remarks. II. SOFT FREQUENCY REUSE AND INCREMENTAL FREQUENCY REUSE A. Soft Frequency Reuse Scheme The Soft Frequency Reuse (SFR) scheme, which has been adopted in the 3GPP-LTE system [1]-[2], addresses the challenge issue by increasing FRF and transmission power for CEUs, so that the ICI from neighboring cells to those users can be alleviated, and thereby to improve their performance. Fig. 1. Concept of the SFR scheme in a cellular system based on FRF =3 for CEUs and FRF =1 for CCUs. The basic idea of the SFR scheme is applying FRF of 1 to CCUs and FRF of 3 to CEUs as illustrated in Fig. 1. Simply one third of the whole available bandwidth named Major Segment can be used by CEUs with higher power. To actualize FRF of 3 for CEUs, Major Segments among directly adjoining cells should be orthogonal. In opposite to the CEUs, the CCUs can access the entire frequency resources, yet with lower transmission power to avoid yielding too much ICI to the cochannel users in the neighboring cells. Taking a view of the SFR design, some intrinsic limitations are exposed. For one thing, how to define the borderline to divide cell area for CCUs and CEUs is a key issue. Generally, there are more CEUs than CCUs in a cell, since the outer surface area is much larger than the inner part. However, with the SFR scheme CEUs have maximum one third of the entire bandwidth to utilize, which results in lower spectrum efficiency. Secondly, more ICI could happen even in a lowtraffic-load situation, while there are still subchannels in idle and underutilized in the system. This is because the resource allocation of all cells via the SFR scheme starts always from the first subchannel up. Lastly, in consequence of the inherent susceptibleness of the CEUs, they still will be grievously interfered by the CCU transmissions in the adjacent cells, even though higher power is applied to them. B. Incremental Frequency Reuse Scheme Aiming at the limitations of the SFR scheme mentioned above, Ki Tae Kim et al. came up with a new design referred as Incremental Frequency Reuse (IFR) scheme, which can reduce the ICI effectively in the case of a low offered traffic, and thereby betters the overall system capacity. The only difference between the IFR design and the classical reuse-1 is that directly contiguous cells in an IFR system start dispensing resources to their users from different points of the available bandwidth, whereas the classical reuse- 1 and the SFR allocate resources always from the first subchannel. Fig. 2 exemplifies operation method of the IFR scheme for a cellular system with 3 various types of neighboring cells. Cells of type-a occupy resources from the first subchannel, whilst cells of type-b from the one-third point of the whole bandwidth, and cells of type-c from the two-thirds point of the bandwidth. They allocate consecutive subchannels successively along with traffic load increasing until the entire bandwidth is used up. Resource assignment using the IFR scheme can overcome a part of the limitations by applying the SFR scheme, namely the low spectrum reuse efficiency problem and the more ICI at low loading traffic problem. The ICI generated by directly adjoining cells can be avoided completely in low-traffic situations, since there is no frequency reuse from the first tier neighboring cells when loading factor below 0.3, and the whole system works just like a classical reuse-3 system. In essence, by means of the IFR scheme, system operates with increasing traffic load like moving from a reuse-3 system to a reuse-1 system. Fig. 2. Operation policy of the IFR scheme in a cellular system with 3 various types of neighboring cells. Although some limitations of the SFR scheme can be eliminated by using the IFR scheme, it only performs better, when just fewer traffic exists in a system. When the loading factor is greater than 0.3, though the IFR surpasses the classical reuse-1 scheme, it is inferior to the SFR scheme. With the help of its static configuration, the IFR scheme disperses the ICI over the whole bandwidth, but with increasing traffics in the system, the CEUs are still interfered severely. In a full-load situation, the IFR scheme cannot perform better than the classical reuse-1 scheme. That is to say, the system capacity cannot be substantively improved by the IFR scheme. Furthermore, through the simulation results the authors of [3] claim that the SFR scheme even performs worse than the reuse-1 system in a full-load situation. This allegation is correct only when the boundary between the CCU-zone and the CEU-zone in a cell is set quite close to the cell borderline. In the subsequent evaluation section IV of this work, we will disclose that with a proper range definition for the zones of CCUs and CEUs, the SFR scheme can perform much better than a classical reuse-1 system.

III. ENHANCED FRACTIONAL FREQUENCY REUSE The discussion about advantages and limitations of the IFR and SFR schemes in section II motivates us to propose a new design named Enhanced Fractional Frequency Reuse (EFFR) scheme, which intends to retain the advantages of the both approaches while avoiding their limitations, and seeks for a further progress in attaining both coverage and higher system capacity in any traffic-load situation. A. Design Requirements The EFFR scheme is designed to meet the following requirements: Support flexibility with non-uniform user or traffic distribution Support adaptation to time varying traffic conditions Exploit possibility for self-setting up preferable reuse combinations No need for the resource coordination among different base stations (BS) in radio network controller (RNC) in the fixed resource allocation method Applicable for high FRF systems Low system complexity B. Concept of the Enhanced Fractional Frequency Reuse Scheme The objective of the proposed EFFR architecture is to improve system capacity while bettering spectrum efficiency at the cell edge. This can be achieved by being based upon effectual mitigation of unwanted ICI for CEUs, further maximizing of the opportunities for the other users to choose suitable resources (time share and frequency share respectively) to reuse. 1) Reuse Partition Just like the SFR scheme, the EFFR scheme defines 3 celltypes for directly contiguous cells in a cellular system, and reserves for each cell-type a part of the whole frequency band named Primary Segment, which is indicated in the right part of Fig. 3 with thick border. The Primary Segments among different type cells should be orthogonal. Apart from the Primary Segment, the remaining subchannels constitute the Secondary Segment. The Primary Segment of one cell-type is Fig. 3. Concept of the EFFR scheme in a cellular system based on partition of exclusively reuse-3 subchannels and reuse-1 subchannels in the Primary Segment, as well as interference-aware reuse on the Secondary Segment. at the same time a part of the Secondary Segments belonging to the other two cell-types. Each cell can occupy all subchannels of its Primary Segment at will, whereas only a part of subchannels in the Secondary Segment can be used by this cell in an interference-aware manner. The Primary Segment of each cell will be further divided into a reuse-3 part and reuse-1 part. The reuse-1 part can be reused by all types of cells in the system, whereas reuse-3 part can only be exclusively reused by other same type cells. To be precise, the reuse-3 subchannels cannot be reused by directly neighboring cells, thus the ICI among them can be decreased. And the vulnerable CEUs are stipulated to take priority of using these reuse-3 subchannels over CCUs. 2) Transmission Power Allocation As we have a constant total power assumption for all reuse approaches presented in this work, and any cell-type (e.g., cell-type-a in Fig. 3) in the EFFR scheme is not allowed to use the reuse-3 subchannels dedicated to the other two celltypes (e.g., cell-type-b and -C in Fig. 3), the power allotted to the reuse-3 subchannels can be tripled without decreasing the transmission power for the other available reuse-1 subchannels. 3) Signal-to-Interference-Ratio (SINR) Estimation Since a cell acts on the Secondary Segment as a guest, and occupying secondary subchannels is actually reuse the primary subchannels belonging to the directly adjacent cells, thus reuse on the Secondary Segment by each cell should conform to two rules: monitor before use and resource reuse based on SINR estimation. Each cell listens on every secondary subchannel all the time. And before occupation, it makes SINR evaluation according to the gathered channel quality information (CQI) and chooses resources with best estimation values for reuse. If all available secondary resources are either occupied or not good enough to a link, this cell will give up scheduling resources for this link. This will not lead to a resource wasting, which means some resources maybe not reusable for this link, but can be reused by other links. And another thereby gained merit is that it will not generate excessive ICI for the neighboring cells which would degrade their performances. So, an upgrade of spectrum efficiency is expected by using the interference-aware-reuse mechanism on the Secondary Segment. On the other hand, all above elucidation is based on a precise SINR estimation. However, an improper modulation and coding scheme (PHY-mode) selection due to a bad SINR estimation would cause to either higher packet loss rate or lower spectral efficiency, and thereupon wastes precious resources. Hence, to have a reliable SINR estimation is a crucial factor for maximizing system spectrum efficiency. 4) Resource Allocation The algorithm works as follows: 1. The reuse-3 subchannels will be assigned to CEUs with the usage of the proportional faire scheduling strategy. If there are still resources remained after all CEUs are served, they will be continuing allotted to such CCUs with relatively poor SINR values.

(a) Classical reuse-1 & IFR (b) SFR (c) EFFR (d) Classical reuse-3 Fig. 4. SFR scheme, the EFFR scheme and the classical reuse-3 scheme. 2. When the reuse-3 subchannels are exhausted, the remaining reuse-1 subchannels in the Primary Segment are allocated to residual unsatisfied users using maximum throughput strategy until demands of all users are met or the entire Primary Segment is occupied. 3. If still resources are requested, available reuse-1 subchannels in the Secondary Segment will be scheduled to adequate users by applying interferenceaware- operation. Different cell-specific power masks over system bandwidth for all studied approaches including the classical reuse-1 scheme, the IFR scheme, the C. D istinctions between the EFFR Scheme and the two afore- mentioned Schemes The EFFR scheme owns mainly the following salient features, which are typically different to the SFR scheme and the IFR scheme: Since the users close to cell edge are very susceptible against ICI, the reuse-3 subchannels in the Primary Segment for each cell are exclusively available for the users in the same type cell. This means real reuse-3 is applied on these subchannels, and for each cell not the whole bandwidth is available. In order to advance spectral efficiency, users which are allotted shares of the reuse-3 subchannels, should send packets with higher transmission power, whether they are CCUs or CEUs. In contrast, to reduce excessive ICI to the neighboring cells and avoid unwanted power wasting, packets will be sent on a reuse-1 subchannel in lower strength. Allocation of reuse-1 subchannels in the Secondary Segment is not blindly carried out, but in an interference-aware way according to SINR estimation. In the Primary Segment unsatisfied users, whether they are CCUs or CEUs, have the same chance to get resources in the Secondary Segment, if they can find usable resource in accordance with SINR estimation. Note that the following relevant factors play paramount roles in the realization of the EFFR design and could influence the system performance severely: 1) the ratio of the number of reuse-3 subchannels M to reuse-1 subchannels N in the Primary Segment; 2) the power ratio of high power level to low power level; 3) range definition for partition of CCUs and CEUs; 4) SINR threshold for reuse etc.. In what follows, we focus on discussing how the range definition for division CCU-zone and CEU-zone will impact on the performances of the EFFR scheme and the SFR scheme. To the best of our knowledge, this is the first work to present simulation results of the SFR scheme with varying range definitions for partition of CCUs and CEUs. IV. EVALUATION The Open Wireless Network Simulator (OpenWNS) [8] is a framework for the implementation of event driven wireless network protocol simulators. It has been developed at the Chair of Communication Networks RWTH Aachen University, and is used for the implementation of several wireless network protocols like GSM, UMTS, IEEE 802.11, IEEE 802.16 [6]. The proposed EFFR scheme, the SFR scheme and the IFR scheme are integrated into the so-called WiMAC module, which is an implementation of the IEEE 802.16 standard in the OpenWNS. In the following, we take two scenarios into account to compare the performance of OFDMA based communication networks using the proposed EFFR scheme with those using other frequency reuse techniques such as the SFR scheme, the IFR scheme, the classical reuse-1 scheme as well as the classical reuse-3 scheme. We will demonstrate the effectiveness of the devised EFFR in terms of both the cell coverage as well as the mean cell capacity. In this work, the proposed EFFR scheme with three M to N combinations (8:2 7:3 6:4) are evaluated. TABLE I. SIMULATION PARAMETERS Parameter Value System bandwidth 20 MHz Center frequency 5470 MHz Subcarriers (FFT size) 2048 OFDMA symbol duration 102.858 μs Number of subchannels 30 Frame length 10 ms DL-subframe : UL-subframe 1:1 Noise figure at [BS, UT] [5, 7] db Cell radius 1100 m Range for weakest users 900 m - 1100 m Number of interfering cells 18 (up to 2 nd tier) Path loss exponent 2.9 UT thermal noise density -174 dbm/hz Traffic model symmetric, neg. exp IAT For all simulations, we consider an OFDMA uplink cellular system in an omni-cell case, and UTs are uniformly distributed within each hexagonal cell. We assume the total system transmission power is kept constant, and each UT has a maximal transmission power of 200mW. So, different cellspecific power masks in response to diverse spectrum usage

are applied to all studied approaches as given in Fig. 4. A power mask prescribes the transmit power which a user uses depending on the part of the spectrum. For the classical reuse- 1 scheme and the IFR scheme, as every cell may use the whole system bandwidth, the total system transmission power is thereby evenly distributed over the whole bandwidth (Fig. 4a). For the SFR scheme (Fig. 4b) and the EFFR scheme (Fig. 4c), like aforementioned two different power levels should be used for CCUs and CEUs. In this work, we let the high power level be triple to the low power level. Note that the both power levels in the EFFR scheme are higher than the both power levels in the SFR scheme separately. This is because the whole bandwidth is available for the SFR, whereas the EFFR uses only part of the total system bandwidth. With the reuse-3 scheme, the transmission power for each cell is triple to that in the reuse-1 system, but just on one third of the spectrum (Fig. 4d). The other main relevant parameters used in simulations are shown in Table I. And switching thresholds for the PHYmodes in [7] are adopted. A. Scenario with 15 UTs in each cell Fig. 5a displays the average overall cell capacity for uplinks as a function of the range ratio r/r defined as the CCU-zone radius to the cell radius. Different r/r values imply different partitions of the CCU-zone and the CEU-zone, which plays an important role in the SFR and EFFR schemes. The results show that the EFFR scheme can provide a remarkable improvement on the overall cell capacity. And it outperforms (a) Mean overall uplink cell capacity (b) Mean weakest user uplink throughput Fig. 5. Mean overall uplink cell capacity (a) and the corresponding weakest user throughput (b) as a function of range ratio, which is defined as the CCU- zone radius to the cell radius, 15 users are uniformly distributed in each cell in the system. all the other schemes in every situation, regardless of with which M to N combination. The performance of the SFR scheme is strongly influenced by range ratio. With an inappropriate choice of range ratio, its performance will be severely deteriorated, whereas using EFFR the cell capacities don t vary so dramatically under different range ratios. As a consequence, the proposed EFFR design can gain more robustness than the SFR scheme. Fig. 5b shows the corresponding weakest user mean through- put in the same environment as that resulting Fig. 5a. Using IFR, as ICI is dispersed over the whole bandwidth, the performance of the weakest user is slightly bettered compared to the classical reuse-1 (Fig. 5b), however, at the cost of a slight loss of the average overall cell capacity (Fig. 5a). With the usage of SFR, in the case of a range ratio bigger than 0.5, the cell capacity degrades quickly (Fig. 5a), and the cell coverage cannot be kept any more (the user near to the cell border have no throughput as shown in Fig. 5b). These nearcell-border users are still vulnerable and grievously interfered by the concurrent CCU transmissions in the adjacent cells, even though higher power is used on them. This effect not only results in a wasting of precious resources (including spectrum and power), but also yields excessive ICI to the reuse-1 users in the neighboring cells. When the range ratio equals 0.8, the cell capacity is even worse than the classical reuse-1 scheme, which coincides with the conclusion from [3]. Nevertheless, with an adequate range ratio smaller than 0.5, the CCUs and the ICI from the neighboring cells are limited, and thereby the system performance can be significantly enhanced. But, the SFR is still inferior to the classical reuse-3 scheme and the proposed EFFR with regard to both cell capacity and weakest user throughput. This implies, although the available bandwidth for the classical reuse-3 is just one third of the total bandwidth, the gain in SINR can counteract the loss in the bandwidth. And the EFFR bases on ensuring the performance of the CEUs like which with the classical reuse- 3, promotes the performance of the CCUs by peeling off part resources from the reuse-3 resources to lunch into the reuse-1 utilization. As a consequence, the average cell capacity is enhanced due to the increase of available bandwidth while retaining lower ICI at the cell edge. B. Scenario with 25 UTs in each cell With the increasing number of users in each cell, the performances of schemes alter at different extents as given in Fig. 6a. Similar to the first scenario, the EFFR surpasses all the other schemes in every situation, regardless of with which M to N combination. Besides, its cell capacity is advanced around 20% as shown in Fig. 6a, compared to that with 15 UTs scenario (Fig. 5a). Although Fig. 6b indicates that the weakest user throughput using EFFR may be substantially ameliorated with a range ratio choice bigger than 0.5, Fig. 6a exhibits that the cell capacity starts downgrading. This is mainly because along with enlarge of the CCU-zone and reduce of the CEU-zone, some users are not able to obtain resources in the reuse-3 spectrum, and neither can they be satisfied using the reuse-1 spectrum due to the lower transmission power. The performance of SFR exceeds that of

the classical reuse-3 scheme, in the case of the range ratio varying between 0.3 and 0.5. The cell capacity with a range ratio of 0.4 is increased app. 25% (Fig. 6a) compared to that with 15 UTs scenario (Fig. 5a). However, Fig. 6b exposes that with this range ratio the cell coverage cannot be retained any more. Consequently, the EFFR scheme with a range ratio of 0.5 offers best improvements for attaining both cell coverage and high spectral efficiency in OFDMA cellular systems. Detailed observations of all frequency reuse techniques in terms of mean system throughput as a function of offered traffic per user with a range ratio of 0.5 is presented in Fig. 7. The EFFR with whichever combination can achieve a cell capacity above 3 Mbit/s. And the EFFR with M to N combination of 6:4 gains the best performance of all schemes. It reaps an immense increase of app. 216% compared to the classical reuse-1, and an app. 79% gain over the classical reuse-3 as well as gets an advantage of app. 51% over the SFR scheme. Moreover, the EFFR inherits the merit of the IFR, so that they behave as a classical reuse-3 in low-offered-traffic situations, and perform better than the SFR and the classical reuse-1 scheme. with the help of CQI estimation. Concerning the inherent vulnerability of CEUs, the EFFR scheme reserves resources for them with two emphasizes: 1) using dedicated FRF-3; 2) with higher transmission power. Taking advantage of the geographic predominance of CCUs, the EFFR scheme allows them to occupy resources with FRF-1 and interference awareness. A detailed performance evaluation by means of event driven stochastic simulations is presented, whereby the EFFR scheme is compared with the IFR scheme, the conventional reuse schemes and the in the 3GPP-LTE system adopted SFR scheme. The presented results show that significant cell capacity gains and increases at cell edge can be achieved with the deployment of the proposed EFFR scheme. Furthermore, with respect to the range definition for division CCU-zone and CEU-zone, the EFFR scheme can provide more flexibility and robustness than the SFR scheme. In conclusion, with the usage of the EFFR scheme, the medium is able to be more effectively utilized, the overall cell capacity is substantially improved, and the cell coverage is enlarged. V. CONCLUSION In this paper a novel frequency reuse technique named the EFFR scheme for ICI mitigation in OFDMA networks is proposed and evaluated. It designs a resource allocation and reuse mechanism and can provide a considerable improvement Fig. 7. Mean uplink system throughput as a function of offered traffic per user, 25 users are uniformly distributed in each cell in the system, and range ratio r/r = 0.5. (a) Mean overall uplink cell capacity (b) Mean weakest user uplink throughput Fig. 6. Mean overall uplink cell capacity (a) and the corresponding weakest user throughput (b) as a function of range ratio, which is defined as the CCU- zone radius to the cell radius, 25 users are uniformly distributed in each cell in the system. REFERENCES [1] 3GPP; Technical Specification Group Radio Access Network, Physical channels and modulation (release 8), TS-36.211, Jun. 2007, version 1.2.0. [2] 3GPP; Huawei, Soft frequency reuse scheme for UTRAN LTE, R1-050507, May 2005. [3] K. T. Kim, S. K. Oh, An Incremental Frequency Reuse Scheme for an OFDMA Cellular System and Its Performance, in Proc. of the 67 th IEEE Vehicular Technology Conference (VTC-Spring 08), May 2008. [4] M. Bohge, J. Gross, A. Wolisz, Optimal Power Masking in Soft Frequency Reuse based OFDMA Networks, in Proc. of the 15 th European Wireless Conference 2009, pp. 162-166, Aalborg, Denmark, May 2009. [5] Y. Xiang, J. Luo, Inter-cell interference mitigation through flexible resource reuse in OFDMA based communication networks, in Proc. of the 13 th European Wireless Conference 2007, pp. 1-7, Paris, France, April 2007. [6] IEEE 802.16-2004, IEEE standard for local and metropolitan area networks-part 16: Air interface for fixed broadband wireless access systems, Oct. 1, 2004 [7] C. Hoymann, Analysis and performance evaluation of the OFDMbased metropolitan area network IEEE 802.16, in Computer Networks, Volume 49 (2005) 341-363. [8] D. Bültmann, M. Mühleisen, K. Klagges, M. Schinnenburg, OpenWNS open Wireless Network Simulator, in Proc. of the 15th European Wireless Conference 2009, pp. 205-210, Aalborg, Denmark, May 2009.