Scheduling and resource allocation in OFDM and FBMC systems: An interactive approach and performance comparison

Bai, Qing; Passas, Nikos; Nossek, Josef A.

doi:10.1109/ew.2010.5483515

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…Since the FBMC modulation allows us to better control the out-of-band radiation, the bands that remain silent are reduced. This translates to the utilization of M a = 756 carriers to convey data, [10]. The sampling frequency is set to 11.2MHz and the symbols are drawn from the 16QAM scheme, which means that the real symbols multiplexed in the FBMC case are 4PAM.…”

Section: Numerical Resultsmentioning

confidence: 99%

Multi-stream transmission in MIMO-FBMC systems

Caus

Pérez-Neira

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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This paper addresses the design of MIMO precoding and decoding techniques for the filter bank multicarrier (FBMC) modulation. Existing solutions give satisfactory performance in scenarios with high coherence bandwidth channels. With the aim of increasing the robustness against the channel frequency selectivity, we have rethought the problem, which results in a new subband processing. Simulation-based results show that the proposed solution can achieve similar bit error rates as the OFDMsolution, while the spectral efficiency is increased. These results are theoretically justified. As a conclusion, FBMC becomes attractive in frequency selective channels not only because it relaxes the frame synchronization with respect to OFDM, but also because it presents spatial multiplexing competitive results.Peer ReviewedPostprint (published version

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Section: Numerical Resultsmentioning

confidence: 99%

Multi-stream transmission in MIMO-FBMC systems

Caus

Pérez-Neira

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…Among the possible prototype pulses that can be used in the FBMC/OQAM modulation, we favour the design based on the frequency sampling approach with an overlapping factor equal to 4, [24]. This translates into the utilization of 756 carriers in the scenario 1 and 378 in the scenario 2, [35]. In all the simulations the symbols are drawn from the 16QAM constellation.…”

Section: Simulation Resultsmentioning

confidence: 99%

Multi-Stream Transmission for Highly Frequency Selective Channels in MIMO-FBMC/OQAM Systems

Caus

Pérez-Neira

2014

IEEE Trans. Signal Process.

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This paper addresses the joint design of MIMO precoding and decoding matrices for filter bank multicarrier (FBMC) systems based on OQAM, known as FBMC/OQAM. Existing solutions that support multi-stream transmission only give satisfactory performance in scenarios with high coherence bandwidth channels. By contrast, the schemes that do not make any assumptions about the flatness of the channel do not allow the allocation of multiple streams per-subband. To make progress towards the application of FBMC/OQAM to MIMO channels, we study the design of novel solutions that could simultaneously provide robustness against the channel frequency selectivity and support multi-stream transmission. To this end, two techniques have been devised under the criterion of minimizing the sum mean square error. The non-circular nature of the OQAM symbols has not been ignored, making evident the convenience of performing a widely linear processing. The first technique keeps the complexity at a reasonable level, which is practical from the implementation point of view as it is not iterative, but in exchange the original problem is relaxed yielding a suboptimal solution. With the objective of performing closer to the optimum solution, the second option iteratively computes precoders and equalizers by resorting to an alternating optimization method, which is much more complex. We have demonstrated via simulations that the first technique nearly achieves the same results as the iterative design. Simulation results show that the proposed lowcomplexity solution outperforms existing MIMO-FBMC/OQAM schemes in terms of bit error rate (BER). As for the comparison with OFDM, the numerical results highlight that FBMC/OQAM remains competitive, with and without perfect channel state information, while it provides spectral efficiency gains. Under highly frequency selective channels the proposed technique significantly outperforms OFDM.

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“…So, to overcome this problem of poor throughput [5] & increase system performance authors work on ENGT.The main objective of this research paper is to provide uniform allocation of resources by its priority and after that finding its maximum throughput rate. The main benefit to utilize this LTE technology [1] is improving its data rate at downlink transmission rate by using OFDMA [9] principle in LTE [1] systems.…”

Section: Introductionmentioning

confidence: 99%

Proposing Enhanced Na Gaun Technique (Engt) for Resource Block Allocation in Lte(long Term Evolution) Systems for Improving Quality of Service

Kaur¹,

Chuchra²

2017

ijarcs

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Due to its distinct and unique features viz. high speed data rate, self-organized network, packet optimized radio access, low latency and flexible bandwidth deployment LTE (Long Term Evolution) is more preferred in wireless communication. Such kind of terminology uses especially in mobile phones for improving its throughput. LTE uses Orthogonal Frequency Division Multiplexing (OFDM) for the downlinkthat is, from base station to the terminal to transmit the data over many narrow band carriers each of 180 KHz instead of spreading one signal over the complete 5MHz career bandwidth. The complete working of LTE is based on the basic principle of OFDMA (Orthogonal Frequency Division Multiplexing). At first step, it divides the broad spectrum into multiple narrow bands and transmits information on this narrow channel in parallel.OFDM meets the LTE requirement for spectrum flexibility and enables cost-efficient solutions for very wide carriers with high peak rates.Orthogonal frequency-division multiplexing (OFDM), is a frequency-division multiplexing (FDM) scheme used as a digital multi-carrier modulation method. Scheduling plays a vital role on the time of resource allocation which has become an essential component for high-speed wireless data systems. This allocation of resources is done according to the need and priority of the user. It has three key components which are involved in the resource allocation and network optimization: resource block scheduling, power control, and client association. The motive to design this new designed methodology is to increase its privacy rate by increasing its security level that automatically improves its speed and data rate. LTE uses OFDM (orthogonal frequency division multiplexing) for downlink transmission. In resource allocation algorithms in OFDM of LTE systems, the allocation of the radio resource has to be in the units of Scheduling Block (SB) and there exists the need for all SBs of each user to use the same Modulation and Coding Scheme (MCS) leading to the degradation of performance. Main challenge for LTE systems is that, by applying OFDMA, multiple resource blocks can be scheduled by a transmission over the frequency and time. In this research paper, we have to focus on resource block scheduling in LTE system and proposes an enhanced version of Na Gaun technique that would be helpful for resource allocation blocks so that user's rate requirement can be fulfilled optimally and throughput of the system can be improved.

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Scheduling and resource allocation in OFDM and FBMC systems: An interactive approach and performance comparison

Cited by 7 publications

References 6 publications

Multi-stream transmission in MIMO-FBMC systems

Multi-stream transmission in MIMO-FBMC systems

Multi-Stream Transmission for Highly Frequency Selective Channels in MIMO-FBMC/OQAM Systems

Proposing Enhanced Na Gaun Technique (Engt) for Resource Block Allocation in Lte(long Term Evolution) Systems for Improving Quality of Service

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