Downlink Scheduling and Resource Allocation for 5G MIMO-Multicarrier: OFDM vs FBMC/OQAM

The definition of the next generation of wireless communications, so-called 5G networks, is currently underway. Among many technical decisions, one that is particularly fundamental is the choice of the physical layer modulation format and waveform, an issue for which several alternatives have been proposed. Two of the most promising candidates are: 1) orthogonal frequency division multiple (OFDM), a conservative proposal that builds upon the huge legacy of 4G networks and 2) filter bank multicarrier/offset quadrature amplitude modulation (FBMC/OQAM), a progressive approach that in frequency selective channels sacrifices subcarrier orthogonality in lieu of an increased spectral efficiency. The comparative merits of OFDM and FBMC/OQAM have been well investigated over the last few years but mostly, from a purely physical layer point of view and largely neglecting how the physical layer performance translates into user-relevant metrics at the upper-layers. This paper aims at presenting a comprehensive comparison of both modulation formats in terms of practical network indicators, such as goodput, delay, fairness, and service coverage, and under operational conditions that can be envisaged to be realistic in 5G deployments. To this end, a unifying cross-layer framework is proposed that encompasses the downlink scheduling and resource allocation procedures and that builds upon a model of the queueing process at the data-link control layer and a physical layer abstraction that can be chosen to model either OFDM or FBMC/OQAM. Extensive numerical results conclusively demonstrate that most of the a priori advantages of FBMC/OQAM over OFDM do indeed translate into improved network indicators, that is, the increase in spectral efficiency achieved by FBMC/OQAM makes up for the distortion caused by the loss of orthogonality.

[1]  François Horlin,et al.  Single-Tap Precoders and Decoders for Multiuser MIMO FBMC-OQAM Under Strong Channel Frequency Selectivity , 2016, IEEE Transactions on Signal Processing.

[2]  Christopher Cox,et al.  An Introduction to LTE: LTE, LTE-Advanced, SAE and 4G Mobile Communications , 2012 .

[3]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[4]  Matilde Sánchez Fernández,et al.  Resource Allocation in Multi-Antenna MAC Networks: FBMC vs OFDM , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[5]  Qing Bai,et al.  Scheduling and resource allocation in OFDM and FBMC systems: An interactive approach and performance comparison , 2010, 2010 European Wireless Conference (EW).

[6]  Giulio Colavolpe,et al.  Modulation Formats and Waveforms for 5G Networks: Who Will Be the Heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency , 2014, IEEE Signal Processing Magazine.

[7]  Philip A. Whiting,et al.  Dynamic bandwidth allocation algorithms for high-speed data wireless networks , 1998, Bell Labs Technical Journal.

[8]  Antonio Pascual-Iserte,et al.  OFDM and FBMC performance comparison for multistream MIMO systems , 2010, 2010 Future Network & Mobile Summit.

[9]  A. Pages Link level performance evaluation and link abstraction for LTE/LTE-advanced downlink , 2016 .

[10]  Ramjee Prasad,et al.  OFDM for Wireless Multimedia Communications , 1999 .

[11]  Behrouz Farhang-Boroujeny,et al.  Complexity and Performance Comparison of Filter Bank Multicarrier and OFDM in Uplink of Multicarrier Multiple Access Networks , 2011, IEEE Transactions on Signal Processing.

[12]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[13]  Giulio Colavolpe,et al.  An Introduction to Modulations and Waveforms for 5G Networks , 2016 .

[14]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

[15]  Martin Haardt,et al.  MIMO Signal Processing in Offset-QAM Based Filter Bank Multicarrier Systems , 2016, IEEE Transactions on Signal Processing.

[16]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[17]  Guillem Femenias,et al.  Unified approach to cross-layer scheduling and resource allocation in OFDMA wireless networks , 2012, EURASIP J. Wirel. Commun. Netw..

[18]  Behrouz Farhang-Boroujeny,et al.  OFDM Versus Filter Bank Multicarrier , 2011, IEEE Signal Processing Magazine.

[19]  Wei Jiang,et al.  From OFDM to FBMC: Principles and Comparisons , 2016 .

[20]  Alexander L. Stolyar,et al.  Scheduling for multiple flows sharing a time-varying channel: the exponential rule , 2000 .

[21]  Guillem Femenias,et al.  Scheduling and Resource Allocation in Downlink Multiuser MIMO-OFDMA Systems , 2016, IEEE Transactions on Communications.

[22]  Giuseppe Caire,et al.  Bit-Interleaved Coded Modulation , 2008, Found. Trends Commun. Inf. Theory.

[23]  Ye Geoffrey Li,et al.  Orthogonal Frequency Division Multiplexing for Wireless Communications , 2009 .

[24]  Ye Li,et al.  Orthogonal Frequency Division Multiplexing for Wireless Communications (Signals and Communication Technology) , 2006 .

[25]  Ana I. Pérez-Neira,et al.  Multi-Stream Transmission for Highly Frequency Selective Channels in MIMO-FBMC/OQAM Systems , 2014, IEEE Transactions on Signal Processing.

[26]  Gerhard Fettweis,et al.  A Study on the Link Level Performance of Advanced Multicarrier Waveforms Under MIMO Wireless Communication Channels , 2017, IEEE Transactions on Wireless Communications.

[27]  Maurice G. Bellanger,et al.  Specification and design of a prototype filter for filter bank based multicarrier transmission , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[28]  Giuseppe Caire,et al.  Performance Analysis of Massive MIMO for Cell-Boundary Users , 2013, IEEE Transactions on Wireless Communications.

[29]  Angeliki Alexiou,et al.  Link performance models for system level simulations of broadband radio access systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[30]  Guillem Femenias,et al.  Robust Scheduling and Resource Allocation in the Downlink of Spatially Correlated MIMO-OFDMA Wireless Systems With Imperfect CSIT , 2016, IEEE Transactions on Vehicular Technology.

[31]  Alexander L. Stolyar,et al.  Scheduling algorithms for a mixture of real-time and non-real-time data in HDR , 2001 .

[32]  Yu-Kwong Kwok,et al.  A Low-Complexity QoS-Aware Proportional Fair Multicarrier Scheduling Algorithm for OFDM Systems , 2009, IEEE Transactions on Vehicular Technology.

[33]  Faouzi Bader,et al.  Computationally Efficient Power Allocation Algorithm in Multicarrier-Based Cognitive Radio Networks: OFDM and FBMC Systems , 2010, EURASIP J. Adv. Signal Process..

[34]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.

[35]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..