Multi-user MIMO and Carrier Aggregation in 4G systems: The SAMURAI approach

Cattoni, Andréa; Nguyen, Hung Tuan; Duplicy, Jonathan; Tandur, Deepaknath; Badic, Biljana; Balraj, Rajarajan; Kaltenberger, Florian; Latif, Imran; Bhamri, Ankit; Vivier, Guillaume; Kovacsk, I.Z.; Horváth, Péter

doi:10.1109/wcncw.2012.6215508

Cited by 14 publications

(3 citation statements)

References 6 publications

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“…Since the massive MIMO improves the spectral efficiency by exploiting spatial multiplexing [21], combining the spatial multiplexing gain using the massive MIMO and the spectrum extension using the carrier aggregation technologies, massive data rates and network capacities can be obtained. In this regard, numerous studies have addressed the carrier aggregation in massive MIMO systems.…”

Section: B Related Work and Problem Statementmentioning

confidence: 99%

Licensed Countrywide Full-Spectrum Allocation: A New Paradigm for Millimeter-Wave Mobile Systems in 5G/6G Era

Saha

2020

IEEE Access

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The traditional static allocation of a portion of the licensed spectrum specified for a country to a mobile network operator (MNO) is no longer sufficient to address the required spectrum demand, as well as efficient to utilize the allocated spectrum. To overcome these constraints, i.e. to increase the spectrum availability and utilization, in this paper, we present a new paradigm for the spectrum allocation called licensed countrywide full-spectrum allocation (LCFSA) to allocate the licensed countrywide full 28 GHz millimeter-wave (mmWave) spectrum to each MNO of a country to operate its small cells per building subject to avoiding co-channel interference (CCI). Since most data is generated indoors, the countrywide full mmWave spectrum allocated to an MNO is considered reusing further to its in-building small cells. CCI avoidance in both the time-domain and frequency-domain is presented along with deducing the conditions for optimality. We derive average capacity, spectral efficiency (SE), energy efficiency (EE), and cost efficiency (CE) for LCFSA, and perform extensive numerical and simulation results and analyses for a country consisting of four MNOs. It is shown that LCFSA with both the time-domain and frequencydomain CCI avoidance schemes provide similar performance improvement in average capacity, SE, EE, and CE by about 296%, 164%, 75%, and 60% respectively for no interfering user equipments (UEs), whereas by about 59.2%, 6.1%, 37.2%, and 0.45% respectively for all interfering UEs with the frequencydomain CCI scheme. Moreover, it is found that the improvement in the above metrics does not change with the spectrum reuse factor (RF) and the number of buildings of small cells per macrocell L, and the impact of interfering UEs can be compensated by adjusting RF. Finally, we show that LCFSA can satisfy the SE and EE requirements for sixth-generation (6G) systems by adjusting either RF or L, or both.

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Section: B Related Work and Problem Statementmentioning

confidence: 99%

Licensed Countrywide Full-Spectrum Allocation: A New Paradigm for Millimeter-Wave Mobile Systems in 5G/6G Era

Saha

2020

IEEE Access

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“…The eNB schedules The LTE modem ran without protocol stack (no Hybrid ARQ) and UL and DL resources were statically configured. Note that, although we disabled the higher layers for this measurements, a similar MU-MIMO setup has been successfully demonstrated with complete protocol stack during the SAMURAI project [10], [11].…”

Section: B Assumptionsmentioning

confidence: 99%

Experimental analysis of network-aided interference-aware receiver for LTE MU-MIMO

Kaltenberger

Wagner²

2014

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM)

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Multiuser (MU) MIMO is a promising technique to significantly increase the cell capacity in LTE systems. However, users scheduled for MU-MIMO may still experience strong MU interference if the channel state information at the base station is outdated or in small cells with a limited number of users available. Interference-aware (IA) receivers exploit information about the interfering data stream, such as the modulation order, in the decoding process, resulting in a significant performance gain over interference un-aware (IU) receivers while maintaining a moderate complexity. In this paper we study a network-aided interference-aware (NA-IA) receiver that receives the interfering modulation order through network signaling and an IA receiver that uses heuristics to determine the interfering modulation order. We use the real-time OpenAirInterface LTE testbed to experimentally evaluate the performance of IA and IU receivers in terms of throughput under different levels of MU interference. The measurement results show that the NA-IA receiver achieves significantly higher data rates compared to the IA receiver, especially when MU interference is strong. The IU receiver on the other hand requires very low levels of MU-interference to achieve a performance comparable to the IA receivers.

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“…The 802.16m release specifies RF channel bandwidths up to 100 MHz through the aggregation of 5 channels [19,20], which may or may not be contiguous (this is also done in LTE-A). Depending on how the transceiver is implemented, carrier aggregation may or may not require the ADCs to process more than one channel simultaneously [21][22][23].…”

Section: Requirements For Adcs Used In Communication Systemsmentioning

confidence: 99%

Recent Advances and Trends in High-Performance Embedded Data Converters

Figueiredo¹

2014

High-Performance AD and DA Converters, IC Design in Scaled Technologies, and Time-Domain Signal Processing

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This chapter discusses the architectures of Nyquist rate Analog-toDigital Converters (ADCs), that are embedded in systems-on-chip (SoCs) implementing some of the most widespread mobile communication, wireless and wireline connectivity standards. The typical requirements for these ADCs are presented, and the main conversion architectures are described in terms of the fundamental operations realized inside them. This constitutes a unified treatment that relates all architectures, thus providing a deeper understanding of their fundamental limitations and trade-offs. We then discuss some of the solutions recently published in the literature to improve ADC energy efficiency. Finally we disclose implementation details from two 12 bit digitally calibrated, high-speed ADCs, using the pipeline and SAR architectures.

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Multi-user MIMO and Carrier Aggregation in 4G systems: The SAMURAI approach

Cited by 14 publications

References 6 publications

Licensed Countrywide Full-Spectrum Allocation: A New Paradigm for Millimeter-Wave Mobile Systems in 5G/6G Era

Licensed Countrywide Full-Spectrum Allocation: A New Paradigm for Millimeter-Wave Mobile Systems in 5G/6G Era

Experimental analysis of network-aided interference-aware receiver for LTE MU-MIMO

Recent Advances and Trends in High-Performance Embedded Data Converters

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