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Journal Article•DOI•

LTE-advanced: next-generation wireless broadband technology [Invited Paper]

Amitava Ghosh1, Rapeepat Ratasuk1, Bishwarup Mondal1, Nitin Mangalvedhe1, Timothy A. Thomas1 •
Motorola1
01 Jun 2010-IEEE Wireless Communications (IEEE Press)-Vol. 17, Iss: 3, pp 10-22
TL;DR: An overview of the techniques being considered for LTE Release 10 (aka LTEAdvanced) is discussed, which includes bandwidth extension via carrier aggregation to support deployment bandwidths up to 100 MHz, downlink spatial multiplexing including single-cell multi-user multiple-input multiple-output transmission and coordinated multi point transmission, and heterogeneous networks with emphasis on Type 1 and Type 2 relays.
Abstract: LTE Release 8 is one of the primary broadband technologies based on OFDM, which is currently being commercialized. LTE Release 8, which is mainly deployed in a macro/microcell layout, provides improved system capacity and coverage, high peak data rates, low latency, reduced operating costs, multi-antenna support, flexible bandwidth operation and seamless integration with existing systems. LTE-Advanced (also known as LTE Release 10) significantly enhances the existing LTE Release 8 and supports much higher peak rates, higher throughput and coverage, and lower latencies, resulting in a better user experience. Additionally, LTE Release 10 will support heterogeneous deployments where low-power nodes comprising picocells, femtocells, relays, remote radio heads, and so on are placed in a macrocell layout. The LTE-Advanced features enable one to meet or exceed IMT-Advanced requirements. It may also be noted that LTE Release 9 provides some minor enhancement to LTE Release 8 with respect to the air interface, and includes features like dual-layer beamforming and time-difference- of-arrival-based location techniques. In this article an overview of the techniques being considered for LTE Release 10 (aka LTEAdvanced) is discussed. This includes bandwidth extension via carrier aggregation to support deployment bandwidths up to 100 MHz, downlink spatial multiplexing including single-cell multi-user multiple-input multiple-output transmission and coordinated multi point transmission, uplink spatial multiplexing including extension to four-layer MIMO, and heterogeneous networks with emphasis on Type 1 and Type 2 relays. Finally, the performance of LTEAdvanced using IMT-A scenarios is presented and compared against IMT-A targets for full buffer and bursty traffic model.
Citations
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Dissertation•
QoS-based Handover for Next Generation Wireless Networks

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Sheetal Jadhav
01 Jan 2013
TL;DR: A novel handover scheme compliant with the IEEE 802.21 standard is proposed which enables handover in an integrated network with UMTS and WiMAX, and takes into account the quality of a call and the load of the call among all the available access points while transferring the call between cells and networks.
Abstract: The deployment of the Next Generation Wireless Network (NGWN) involves different service providers, different radio access technologies and multi-mode mobile terminals that have to be compatible with existing services and technologies. It has provided many challenges for researchers and service providers. In particular, it is a difficult task to provide desired services, such as video streaming, teleconferencing, and data download/ upload, with an acceptable Quality of Service (QoS) anywhere and anytime to the mobile users. These diverse needs of NGWN demand efficient and reliable technologies to satisfy users as well as network providers. Also NGWNs are expected to provide a high data rate and optimized QoS to multimedia and real-time applications over the Internet Protocol (IP) networks. However, due to the movement of the mobile terminals, seamless connectivity needs to be maintained when a mobile terminal moves across different cells or networks. Handover, which is the process of transferring an ongoing call from one base station to another, plays a critical role in achieving the above goals. This thesis focuses on providing an end-to-end QoS to the users during the handover process in NGWNs. First, the thesis evaluates the performance of two kinds of popular wireless networks operating according to the WiMAX and UMTS standards, in terms of supporting Voice over Internet Protocol (VoIP) traffic. It then proposes a novel handover scheme compliant with the IEEE 802.21 standard (i.e. the Media Independent Handover protocol) which enables handover in an integrated network with UMTS and WiMAX. It takes into account the quality of a call and the load of the call among all the available access points while transferring the call between cells and networks. Mean Opinion Score (MOS) is used as the major metric of the call

3 citations

Proceedings Article•DOI•
MAC protocol requirements for OFDMA-PONs

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Wansu Lim1, Milos Milosavljevic1, Ali Gliwan1, Pandelis Kourtessis1, M. John1 •
University of Hertfordshire1
02 Jul 2012
TL;DR: In this article, the authors provide specifications of the parameters defining the design of medium access control (MAC) protocols for orthogonal frequency division multiple access (OFDMA) passive optical networks (PONs).
Abstract: This paper provides specifications of the parameters defining the design of medium access control (MAC) protocols for orthogonal frequency division multiple access (OFDMA) passive optical networks (PONs). A dynamic bandwidth allocation (DBA) algorithm exhibiting service level agreement (SLA) has displayed packet delays of less than 1.5 ms for the middle and high SLA optical network units (ONUs) at 156 Mbps, representing the maximum ONU offered load. A spectral efficiency of 93.75% the total network capacity of 40 Gbps has been achieved, for 256 ONUs and long-reach link lengths of 100 km. The new protocol functionalities have been attained by the extension of the XG-PON frame structure to demonstrate OFDMA/TDMA granularity.

3 citations

Dissertation•
Collaborative modulation multiple access for single hop and multihop networks

[...]

Marwan Aldroubi
01 Jan 2012
TL;DR: A new non-orthogonal uplink multiple access scheme which combines the functionalities of adaptive modulation and multiple access called collaborative modulation multiple access (CMMA) is proposed and provides a practical solution for implementing the multiple access adder channel (MAAC) in fading environments.
Abstract: While the bandwidth available for wireless networks is limited, the world has seen an unprecedented growth in the number of mobile subscribers and an ever increasing demand for high data rates. Therefore efficient utilisation of bandwidth to maximise link spectral efficiency and number of users that can be served simultaneously are primary goals in the design of wireless systems. To achieve these goals, in this thesis, a new non-orthogonal uplink multiple access scheme which combines the functionalities of adaptive modulation and multiple access called collaborative modulation multiple access (CMMA) is proposed. CMMA enables multiple users to access the network simultaneously and share the same bandwidth even when only a single receive antenna is available and in the presence of high channel correlation. Instead of competing for resources, users in CMMA share resources collaboratively by employing unique modulation sets (UMS) that differ in phase, power, and/or mapping structure. These UMS are designed to insure that the received signal formed from the superposition of all users’ signals belongs to a composite QAM constellation (CC) with a rate equal to the sum rate of all users. The CC and its constituent UMSs are designed centrally at the BS to remove ambiguity, maximize the minimum Euclidian distance (dmin) of the CC and insure a minimum BER performance is maintained. Users collaboratively precode their transmitted signal by performing truncated channel inversion and phase rotation using channel state information (CSI ) obtained from a periodic common pilot to insure that their combined signal at the BS belongs to the CC known at the BS which in turn performs a simple joint maximum likelihood detection without the need for CSI. The coherent addition of users’ power enables CMMA to achieve high link spectral efficiency at any time without extra power or bandwidth but on the expense of graceful degradation in BER performance. To improve the BER performance of CMMA while preserving its precoding and detection structure and without the need for pilot-aided channel estimation, a new selective diversity combining scheme called SC-CMMA is proposed. SC-CMMA optimises the overall group performance providing fairness and diversity gain for various users with different transmit powers and channel conditions by selecting a single antenna out of a group of L available antennas that minimises the total transmit power required for precoding at any one time. A detailed study of capacity and BER performance of CMMA and SC-CMMA is carried out under different level of channel correlations which shows that both offer high capacity gain and resilience to channel correlation. SC-CMMA capacity even increase with high channel correlation between users’ channels. CMMA provides a practical solution for implementing the multiple access adder channel (MAAC) in fading environments hence a hybrid approach combining both collaborative coding and modulation referred to as H-CMMA is investigated. H-CMMA divides users into a number of subgroups where users within a subgroup are assigned the same modulation set and different multiple access codes. H-CMMA adjusts the dmin of the received CC by varying the number of subgroups which in turn varies the number of unique constellation points for the same number of users and average total power. Therefore H-CMMA can accommodate many users with different rates while flexibly managing the complexity, rate and BER performance depending on the SNR. Next a new scheme combining CMMA with opportunistic scheduling using only partial CSI at the receiver called CMMA-OS is proposed to combine both the power gain of CMMA and the multiuser diversity gain that arises from users’ channel independence. To avoid the complexity and excessive feedback associated with the dynamic update of the CC, the BS takes into account the independence of users’ channels in the design of the CC and its constituent UMSs but both remain unchanged thereafter. However UMS are no longer associated with users, instead channel gain’s probability density function is divided into regions with identical probability and each UMS is associated with a specific region. This will simplify scheduling as users can initially chose their UMS based on their CSI and the BS will only need to resolve any collision when the channels of two or more users are located at the same region. Finally a high rate cooperative communication scheme, called cooperative modulation (CM) is proposed for cooperative multiuser systems. CM combines the reliability of the cooperative diversity with the high spectral efficiency and multiple access capabilities of CMMA. CM maintains low feedback and high spectral efficiency by restricting relaying to a single route with the best overall channel. Two possible variations of CM are proposed depending on whether CSI available only at the users or just at the BS and the selected relay. The first is referred to Precode, Amplify, and Forward (PAF) while the second one is called Decode, Remap, and Forward (DMF). A new route selection algorithm for DMF based on maximising dmin of random CC is also proposed using a novel fast low-complexity multi-stage sphere based algorithm to calculate the dmin at the relay of random CC that is used for both relay selection and detection.

3 citations

Cites background or methods from "LTE-advanced: next-generation wirel..."

  • ...5 Orthogonal Frequency Division Multiple Access (OFDMA) Orthogonal frequency division multiplexing (OFDM) is a narrowband orthogonal multicarrier MAS used for LTE and 4G networks [1] [26][26][27][28][29]....

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  • ...16m and Long Term Evolution advanced (LTE)-Advanced and the ITU’s IMT-Advanced, all envisage the concurrent deployment of a number of compatible technologies in the physical and multiple access layers [1]....

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  • ...Various code constructions for the synchronous MAAC have been proposed over the years assuming full bit and block synchronisation [1-4]....

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Dissertation•
Improving Channel Capacity in the LTE Downlink through Channel Prediction

[...]

Gichohi Karuga Francis
04 May 2018
TL;DR: A chronology of the events leading to and including the publication of “Jurassic Park” can be found at www.
Abstract: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xvii CHAPTER ONE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

3 citations

Cites methods from "LTE-advanced: next-generation wirel..."

  • ...1 AIR INTERFACE The LTE downlink air interface is based on Orthogonal Frequency Division Multiple Access (OFDMA) which shares the available radio resource to multiple users according to a scheduling algorithm [11]....

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Dissertation•
High capacity multiuser multiantenna communication techniques

[...]

Walid Awad Al-Hussaibi
03 Dec 2011
TL;DR: New techniques are proposed to increase the channel and user capacity and improve the error performance of MU-MIMO over Rayleigh fading channel environment and a new efficient receive antenna selection technique referred to as phase difference based selection (PDBS) is proposed for single and multiuser MIMO systems to maximize the capacity over CRFC.
Abstract: One of the main issues involved in the development of future wireless communication systems is the multiple access technique used to efficiently share the available spectrum among users. In rich multipath environment, spatial dimension can be exploited to meet the increasing number of users and their demands without consuming extra bandwidth and power. Therefore, it is utilized in the multiple-input multiple-output (MIMO) technology to increase the spectral efficiency significantly. However, multiuser MIMO (MU-MIMO) systems are still challenging to be widely adopted in next generation standards. In this thesis, new techniques are proposed to increase the channel and user capacity and improve the error performance of MU-MIMO over Rayleigh fading channel environment. For realistic system design and performance evaluation, channel correlation is considered as one of the main channel impurities due its severe influence on capacity and reliability. Two simple methods called generalized successive coloring technique (GSCT) and generalized iterative coloring technique (GICT) are proposed for accurate generation of correlated Rayleigh fading channels (CRFC). They are designed to overcome the shortcomings of existing methods by avoiding factorization of desired covariance matrix of the Gaussian samples. The superiority of these techniques is demonstrated by extensive simulations of different practical system scenarios. To mitigate the effects of channel correlations, a novel constellation constrained MU-MIMO (CC-MU-MIMO) scheme is proposed using transmit signal design and maximum likelihood joint detection (MLJD) at the receiver. It is designed to maximize the channel capacity and error performance based on principles of maximizing the minimum Euclidean distance (dmin) of composite received signals. Two signal design methods named as unequal power allocation (UPA) and rotation constellation (RC) are utilized to resolve the detection ambiguity caused by correlation. Extensive analysis and simulations demonstrate the effectiveness of considered scheme compared with conventional MU-MIMO. Furthermore, significant gain in SNR is achieved particularly in moderate to high correlations which have direct impact to maintain high user capacity. A new efficient receive antenna selection (RAS) technique referred to as phase difference based selection (PDBS) is proposed for single and multiuser MIMO systems to maximize the capacity over CRFC. It utilizes the received signal constellation to select the subset of antennas with highest (dmin) constellations due to its direct impact on the capacity and BER performance. A low complexity algorithm is designed by employing the Euclidean norm of channel matrix rows with their corresponding phase differences. Capacity analysis and simulation results show that PDBS outperforms norm based selection (NBS) and near to optimal selection (OS) for all correlation and SNR values. This technique provides fast RAS to capture most of the gains promised by multiantenna systems over different channel conditions. Finally, novel group layered MU-MIMO (GL-MU-MIMO) scheme is introduced to exploit the available spectrum for higher user capacity with affordable complexity. It takes the advantages of spatial difference among users and power control at base station to increase the number of users beyond the available number of RF chains. It is achieved by dividing the users into two groups according to their received power, high power group (HPG) and low power group (LPG). Different configurations of low complexity group layered multiuser detection (GL-MUD) and group power allocation ratio (η) are utilized to provide a valuable tradeoff between complexity and overall system performance. Furthermore, RAS diversity is incorporated by using NBS and a new selection algorithm called HPG-PDBS to increase the channel capacity and enhance the error performance. Extensive analysis and simulations demonstrate the superiority of proposed scheme compared with conventional MU-MIMO. By using appropriate value of (η), it shows higher sum rate capacity and substantial increase in the user capacity up to two-fold at target BER and SNR values.

3 citations

Cites background or methods from "LTE-advanced: next-generation wirel..."

  • ...The reason behind these names is when the combined received signal envelope includes large number of paths, it will described by Rayleigh or Rician probability density function (PDF) [3-6] as 𝑓𝑓𝑅𝑅𝑎𝑎𝑅𝑅𝑙𝑙𝑅𝑅𝑚𝑚𝑅𝑅 ℎ(𝑟𝑟) = 𝑟𝑟 𝜎𝜎𝑜𝑜2 𝑅𝑅𝑥𝑥𝑒𝑒 � −𝑟𝑟2 2𝜎𝜎𝑜𝑜2 � ; 𝑟𝑟 ≥ 0 (2.1) 𝑓𝑓𝑅𝑅𝑚𝑚𝑐𝑐𝑅𝑅 (𝑟𝑟) = 𝑟𝑟 𝜎𝜎𝑜𝑜2 𝑅𝑅𝑥𝑥𝑒𝑒 � −(𝑟𝑟2 + 𝜚𝜚2) 2𝜎𝜎𝑜𝑜2 � 𝐼𝐼𝑜𝑜 � 𝑟𝑟𝜚𝜚 𝜎𝜎𝑜𝑜2 � ; 𝑟𝑟 ≥ 0 (2.2) where 𝜚𝜚 is the amplitude of specular component (i.e. LOS component) and 𝐼𝐼𝑜𝑜(....

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  • ...Such important systems are SU-MIMO [2, 5, 84], MU-MIMO [3, 5, 17], OFDM [1, 52, 122], OFDMA [5, 7], MC-CDMA [11, 52, 123], MIMO-OFDM [4, 10, 12, 88], MIMO-OFDMA [2, 3, 5, 7], MIMO-CDMA [13, 14, 124, 125], and MIMO-MCCDMA [9, 15, 16, 126]....

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  • ...MU-MIMO schemes have not widely adopted in existing and future standards and more concentrated studies are needed to find out the system gain and tradeoffs [2-5, 8, 10, 13, 17, 23, 101, 102]....

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  • ...It can be considered as and extended version of SUMIMO for the MAC to increase the spectral efficiency considerably [2-5, 17]....

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  • ...195 References ................................................................................................................................. 198 xii List of Abbreviations 3G Third Generation 3GPP Third Generation Partnership Project 4G Fourth Generation AWGN Additive White Gaussian Noise BC Broadcast Channel BD Block Diagonalization BER Bit Error Rate BPSK Binary Phase Shift Keying BS Base Station CBS Correlation Based Selection CCMA Collaborative Coding Multiple Access CC-MU-MIMO Constellation Constrained Multiuser Multiple-Input Multiple-Output CDMA Code Division Multiple Access CEO Cross Entropy Optimization CRFC Correlated Rayleigh Fading Channel CSI Channel State Information CSIR Channel State Information at the Receiver CSIT Channel State Information at the Transmitter DFT Discrete Fourier Transform DL Downlink dmin Minimum Euclidean Distance DoF Degree of Freedom DPC Dirty Paper Coding DSA Decremental Selection Algorithm DS-SS Direct Sequence Spread Spectrum EGC Equal Gain Combining EPA Equal Power Allocation FDMA Frequency Division Multiple Access GA Genetic Algorithm GICT Generalized Iterative Coloring Technique GL-MUD Group Layered Multiuser Detection GL-MU-MIMO Group Layered Multiuser Multiple-Input Multiple-Output GPRS General Packet Radio Service GSC Generalized Selection Combining xiii GSCT Generalized Successive Coloring Technique GSD Generalized Sphere Decoding GSIC Group Successive Interference Cancellation GSM Global System for Mobile Communications HPG High Power Group HPG-MUD High Power Group Multiuser Detection HPG-PDBS High Power Group Phase Difference Based Selection i.i.d independently identically distributed IC Identical Constellation IC-BPSK Identical Constellation Binary Phase Shift Keying IC-QAM Identical Constellation Quadrature Amplitude Modulation IC-QPSK Identical Constellation Quadrature Phase Shift Keying ICSI Instantaneous Channel State Information ICT Iterative Coloring Technique IMT International Mobile Telecommunication ISA Incremental Selection Algorithm ISI Inter Symbol Interference ITU International Telecommunication Union LDPC Low Density Parity Check Codes LOS Line-of-Sight LPG Low Power Group LPG-MUD Low Power Group Multiuser Detection LS Least Squares LTE Long Term Evolution MAC Multiple Access Channel MAI Multiple Access Interference MBER Minimum Bit Error Rate MC-CDMA Multicarrier Code Division Multiple Access MIMO Multiple-Input Multiple-Output MIMO-CDMA Multiple-Input Multiple-Output Code Division Multiple Access MIMO-MC-CDMA Multiple-Input Multiple-Output Multicarrier Code Division Multiple Access MIMO-OFDM Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing MIMO-OFDMA Multiple-Input Multiple-Output Orthogonal Frequency Division Multiple Access MISO Multiple-Input Single-Output ML Maximum Likelihood ML/ML-MUD Maximum Likelihood / Maximum Likelihood Multiuser Detection ML/ZF-MUD Maximum Likelihood / Zero Forcing Multiuser Detection xiv MLJD Maximum Likelihood Joint Detection MMSE Minimum Mean Squares Error MRC Maximum Ratio Combining MSE Mean Squares Error MUD Multiuser Detection MUI Multiple User Interference MUMA Multiuser Multiantenna MU-MIMO Multiuser Multiple-Input Multiple-Output NBS Norm Based Selection NLOS No Line-of-Sight NOWMA Nonorthogonal Wave Multiple Access OCDMA Orthogonal Code Division Multiple Access OFDM Orthogonal Frequency Division Multiplexing OFDMA Orthogonal Frequency Division Multiple Access OS Optimal Selection OWMA Orthogonal Wave Multiple Access PAM Pulse Amplitude Modulation PDBS Phase Difference Based Selection PDF Probably Density Function PIC Parallel Interference Cancellation PN Pseudo-Noise PN-CDMA Pseudo-Noise Code Division Multiple Access PSK Phase Shift Keying QAM Quadrature Amplitude Modulation QoS Quality of Service QPSK Quadrature Phase Shift Keying RAS Receive Antenna Selection RC Rotated Constellation RC-BPSK Rotated Constellation Binary Phase Shift Keying RC-QAM Rotated Constellation Quadrature Amplitude Modulation RC-QPSK Rotated Constellation Quadrature Phase Shift Keying RF Radio Frequency RSMA Rate Splitting Multiple Access SC Selection Combining S-C Superposition Coding SCBS Spatial Correlation Based Selection SCT Successive Coloring Technique xv SD Sphere Decoding SDMA Space Division Multiple Access SER Symbol Error Rate SIC Successive Interference Cancellation SIMO Single-Input Multiple-Output SINR Signal-to-Interference-plus-Noise-Ratio SIR Signal-to-Interference-Ratio SISO Single-Input Single-Output SM Spatial Multiplexing SNR Signal-to-Noise-Ratio SO Successive Optimization SSD Slab Sphere Decoding STBC Space-Time Block Code STC Space-Time Coding STTC Space-Time Trellis Code SU-MIMO Single User Multiple-Input Multiple-Output SVD Singular Value Decomposition TAS Transmit Antenna Selection TDMA Time Division Multiple Access THP Tomlinson-Harashima Precoding UL Uplink UPA Unequal Power Allocation UPA-BPSK Unequal Power Allocation Binary Phase Shift Keying UPA-QAM Unequal Power Allocation Quadrature Amplitude Modulation UPA-QPSK Unequal Power Allocation Quadrature Phase Shift Keying V-BLAST Vertical-Bell Labs Layered Space-Time VP Vector Perturbation WBE Welch Bound Equality WH Walsh Hadamard WiMAX Worldwide Interoperability for Microwave Access ZF Zero Forcing ZF/ML-MUD Zero Forcing / Maximum Likelihood Multiuser Detection ZF/ZF-MUD Zero Forcing / Zero Forcing Multiuser Detection ZFBF Zero Forcing Beamforming xvi List of Notations |𝐴𝐴| Total number of elements in set A |ℎ| Magnitude of complex value h |𝐡𝐡| Magnitude of vector ‖𝐡𝐡‖ Vector Euclidean norm |𝐇𝐇| Determinant of matrix ‖𝐇𝐇‖𝐹𝐹 Matrix Frobenius norm [....

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References
More filters
Proceedings Article•DOI•
Overview of UMTS Air-Interface Evolution

[...]

Brian K. Classon1, Kevin L. Baum1, Vijay Nangia1, R. Love, Yakun Sun, R. Nory, K. Stewart, Arunabha Ghosh, Rapeepat Ratasuk, Weimin Xiao, Jun Tan •
Motorola1
01 Sep 2006
TL;DR: A preliminary look at the air interface for Evolved UTRA (E-UTRA) and associated key technologies required to reach its design objectives are provided.
Abstract: With the emergence of packet-based wireless broadband systems such as 802.16e, it is evident that a comprehensive evolution of the universal mobile telecommunications system specifications is required to remain competitive. As a result, work has begun on long term evolution (LTE) of the UMTS terrestrial radio access and radio access network aimed for commercial deployment in 2010. Goals for the evolved system include support for improved system capacity and coverage, high peak data rates, low latency, reduced operating costs, multi-antenna support, flexible bandwidth operations and seamless integration with existing systems. To reach these goals, a new design for the air interface is envisioned. This paper provides a preliminary look at the air interface for Evolved UTRA (E-UTRA) and associated key technologies required to reach its design objectives. Initial E-UTRA system performance results show a 2 to 3x improvement over a reference Rel-6 UMTS system configuration [1, 2] for both uplink and downlink.

30 citations

Proceedings Article•DOI•
On UMTS-LTE Physical Uplink Shared and Control Channels

[...]

A.D. Dabbagh1, Rapeepat Ratasuk1, A. Ghosh•
Motorola1
24 Oct 2008
TL;DR: The proposed channel estimation technique is shown to have significant gains in performance compared to other well known channel estimation techniques such as the maximum-likelihood (ML) and the inverse fast Fourier transform (IFFT) channel estimation methods.
Abstract: The performance of the uplink physical channel of the 3GPP LTE system is considered in this paper. Assuming a single user spatial division multiple access transmission scheme, where users' signals are transmitted over different subcarriers, a low complexity channel estimation technique is proposed for the physical uplink shared channel (PUSCH). The proposed channel estimation technique is shown to have significant gains in performance compared to other well known channel estimation techniques such as the maximum-likelihood (ML) and the inverse fast Fourier transform (IFFT) channel estimation methods [5]. Simulation results for different channel models and modulation and coding schemes (MCS) using incremental redundancy (IR) based hybrid automatic repeat request (HARQ) operation are also shown. Finally, a robust detection scheme is proposed for the physical uplink control channel (PUCCH) and simulation results are summarized.

10 citations

"LTE-advanced: next-generation wirel..." refers methods in this paper

  • ...The DFT precoding operation is performed to reduce the cubic metric (CM) of the signal, leading to higher maximum transmit power [2]....

    [...]

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Trending Questions (1)
What is the difference between LTE and FIOS Internet?

LTE-Advanced (also known as LTE Release 10) significantly enhances the existing LTE Release 8 and supports much higher peak rates, higher throughput and coverage, and lower latencies, resulting in a better user experience.

See answers from 10 other papers