Performance analysis of Closed and Open loop MIMO in LTE

Ball, C.F.; Mullner, R.; Lienhart, Johann; Winkler, H.

doi:10.1109/ew.2009.5358012

Cited by 18 publications

(8 citation statements)

References 5 publications

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“…Potential learning schemes to achieve and exceed performance of existing MIMO schemes and their performance evaluations using both OL and CL operations in MIMO systems are presented in [10]. The paper in [11] provides a detailed performance comparison between CL and OL MIMO schemes based on system level simulation results and show 2 dB link gain (corresponding to 20% spectral efficiency) theoretical improvements in ideal conditions and 1 dB (corresponding to 10% capacity gain in fully loaded network scenario) when practical constraints are considered. In [12], the impact of different cellular network deployments, antenna configurations, and transmission schemes on achievable performance are examined through theoretical and simulation studies for Multi-Antenna heterogeneous networks (HetNets).…”

Section: Related Work and Motivationmentioning

confidence: 99%

Real-time measurements and performance analysis of closed-loop MIMO service for mobile operators

Zeydan¹,

Dedeoglu²,

Türk³

2021

Turk J Elec Eng & Comp Sci

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As Fifth Generation (5G) networks are starting to become commercial, user expectations in terms of new services become high as well. This signifies that mobile communications service providers need to build robust 5G new services as quickly and cost-efficiently as possible. Many new technologies rely on closed-loop (CL) and Multiple Input Multiple Output (MIMO) technologies due to emerging cooperation between nodes in next generation networks. In this paper, we first compare different multi antenna transmission modes namely, transmit diversity, open-loop (OL) and CL MIMO spatial multiplexing strategies to provide Mobile Network Operator (MNO) services in terms of their characteristics, limitations and benefits. Later we investigate how launching a large-scale CL MIMO deployment strategy can affect the various Key Performance Indicators (KPIs) of the existing services provided by Mobile Network Operators (MNOs) in real-operational network infrastructure in Turkey. Our practical experimental results indicate that compared to OL MIMO system, CL MIMO can achieve large performance gains in a practical setup, where up to 3% for cell average throughput, 9% for user throughput, 6% for spectrum efficiency, 9% in Channel Quality Indicator (CQI) and Modulation Coding Scheme (MCS) improvements as well as 25% and 17% reductions on sum delay and initial block error rates (IBLER) are obtained.

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Section: Related Work and Motivationmentioning

confidence: 99%

Real-time measurements and performance analysis of closed-loop MIMO service for mobile operators

Zeydan¹,

Dedeoglu²,

Türk³

2021

Turk J Elec Eng & Comp Sci

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“…The SINR for each subcarrier can be determined using (1)- (8). SINR over a PRB (N P RB sc contiguous subcarriers over one TTI duration) is determined through Exponential Effective SINR Mapping (EESM) averaging [13].…”

Section: B Case: Desired Link Is Sfbc-fstd 1) All Interfering Bss Usmentioning

confidence: 99%

“…CLR-1 has higher capacity than open loop diversity [8] yet it does not trade off reliability with spatial multiplexing gain. Therefore, it is worth analysing the performance of VoIP in CLR-1 mode which is the aim of this work.…”

Section: Introductionmentioning

confidence: 97%

Performance of VoIP in Presence of MIMO Interference in OFDMA (LTE) Networks

Parida

Das

Paul

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Voice over Internet Protocol (VoIP) being highly sensitive to errors is usually transmitted using diversity mode (Space Frequency Block Coding (SFBC)) of Multiple Input Multiple Output (MIMO) in Orthogonal Frequency Division Multiple Access networks. In Long Term Evolution, the Closed Loop Rank -1 (CLR-1) being more error resilient than higher order MIMO modes is also one of the attractive options that can be used for VoIP transmission. This work presents an algorithm for Semi-Persistent VoIP scheduling using CLR-1 MIMO mode. The performance is evaluated following ITU specified test methodologies. Since it requires frequency reuse-unity to be used, it is expected that cell edge users will experience heavy co-channel interference. As MIMO communication is affected differently by different interfering MIMO modes, comparison of several combinations of using SFBC and CLR-1 in desired and interfering link is presented for the proposed algorithm. Finally, predication of PRB usage and VoIP capacity for CLR-1 are also shown.

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“…The processing at the receiver is essentially efficient co-channel interference cancellation on the basis of the collected multiple information. This permits improving system performance whether the interest is to increase the single link data rate or increase the number of users in the whole system [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%