Investigation on Interference Rejection Combining Receiver for Space–Frequency Block Code Transmit Diversity in LTE-Advanced Downlink

Ohwatari, Yusuke; Miki, Nobuhiko; Sagae, Yuta; Okumura, Yukihiko

doi:10.1109/tvt.2013.2271508

Cited by 18 publications

(9 citation statements)

References 12 publications

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“…where u κ k,c is the antenna combining vector, designed by the linear minimum mean square error interference rejection combining (LMMSE-IRC) receiver [32]. Hence, the received SINR at the k th user, assuming an error-free link adaptation process, is expressed by…”

Section: B Signal Modelmentioning

confidence: 99%

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Esswie

Pedersen

2018

IEEE Access

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The fifth generation (5G) of the mobile networks is envisioned to feature two major service classes: ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB). URLLC applications require a stringent one-way radio latency of 1 ms with 99.999% success probability while eMBB services demand extreme data rates. The coexistence of the URLLC and eMBB quality of service (QoS) on the same radio spectrum leads to a challenging scheduling optimization problem, that is vastly different from that of the current cellular technology. This calls for the novel scheduling solutions which cross-optimize the system performance on a user-centric, instead of network-centric basis. In this paper, a null-space-based spatial preemptive scheduler for joint URLLC and eMBB traffic is proposed for the densely populated 5G networks. Proposed scheduler framework seeks for cross-objective optimization, where the critical URLLC QoS is guaranteed while extracting the maximum possible eMBB ergodic capacity. It utilizes the system spatial degrees of freedom in order to instantly offer an interference-free subspace for the critical URLLC traffic. Thus, a sufficient URLLC decoding ability is always preserved, and with the minimal impact on the eMBB performance. Analytical analysis and extensive system level simulations are conducted to evaluate the performance of the proposed scheduler against the state-of-the-art scheduler proposals from industry and academia. Simulation results show that the proposed scheduler offers extremely robust URLLC latency performance with a significantly improved ergodic capacity.INDEX TERMS 5G, radio resource management, scheduling, ultra-reliable low-latency communications (URLLC), enhanced mobile broadband (eMBB), MU-MIMO, preemptive, null space.

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Section: B Signal Modelmentioning

confidence: 99%

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Esswie

Pedersen

2018

IEEE Access

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“…The first summation represents the intra-cell inter-user interference while the latter introduces the inter-cell interference, resulting from the URLLC and eMBB traffic. The received signal is then decoded by the linear minimum mean square interference rejection combining (LMMSE-IRC) [16]…”

Section: System Modelmentioning

confidence: 99%

Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio

Esswie¹,

Pedersen²

2018

2018 IEEE Globecom Workshops (GC Wkshps)

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Ultra-reliable and low-latency communication (URLLC) is envisioned as a primary service class of the fifth generation mobile networks. URLLC applications demand stringent radio latency requirements of 1 millisecond with 99.999% confidence. Obviously, the coexistence of the URLLC services and enhanced mobile broadband (eMBB) applications on the same spectrum imposes a challenging scheduling problem. In this paper, we propose an enhanced spatial preemptive scheduling framework for URLLC-eMBB traffic coexistence. The proposed scheduler ensures an instant and interference-free signal subspace for critical URLLC transmissions, while achieving best-effort eMBB performance. Furthermore, the impacted eMBB capacity is then recovered by limited network-assisted signaling. The performance of the proposed scheduler is evaluateeed by highly detailed system level simulations of the major performance indicators. Compared to the state-of-the-art multi-traffic schedulers from industry and academia, the proposed scheduler meets the stringent URLLC latency requirements, while significantly improving the achievable ergodic capacity.

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“…In this paper we assume perfect knowledge of the interference plus noise covariance matrix at each transmission block (estimation techniques for a real system like LTE can be found in [16][17]).…”

Section: A Derivation Of Ibdfe Coefficientsmentioning

confidence: 99%

“…According to (16), the output of the IBDFE can be represented as the sum of the original symbol with a noise plus interference component. Using the Gaussian approximation for ( ) i n ξ , the BER dependent on a channel realization for QPSK modulation with Gray mapping can be written as…”

Section: Performance Analysismentioning

confidence: 99%

“…Although techniques employed in spatial multiplexed receivers [11]- [14] can be used for removing interference, in addition to the main user they also require estimating the interferers' streams thus adding substantial complexity. Therefore, among several interference cancellation techniques, the linear IRC [15] which avoids explicit knowledge of the interferers' streams, is one of the most attractive due its simplicity and direct extension to the conventional MMSE detector and has been studied for use in 3GPP LTE systems [16]- [19]. While linear IRC detectors applied in SC schemes will perform far from optimum in severe time dispersive channels, the conventional IBDFE can suffer substantial performance degradation in the presence of interference.…”

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confidence: 99%

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Interference Aware Iterative Block Decision Feedback Equalizer for Single Carrier Transmission

Souto

Dinis²,

Correia

et al. 2014

IEEE Trans. Veh. Technol.

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Abstract-The deployment of increasingly dense heterogeneous mobile networks can create high levels of interference among users which, combined with severe time dispersive channels, can result in substantial performance degradation. In order to cope with both effects, in this paper we propose an iterative block decision feedback equalizer (IBDFE) for single carrier (SC) transmissions which makes use of the correlation between the interference in the receiving antennas and minimizes the mean squared error (MSE) of the detected symbols. Our analytic and simulated performance results show that the proposed receiver can clearly outperform the conventional IBDFE and the linear interference rejection combining (IRC) detector in severely time-dispersive channels with strong cochannel interference.

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Investigation on Interference Rejection Combining Receiver for Space–Frequency Block Code Transmit Diversity in LTE-Advanced Downlink

Cited by 18 publications

References 12 publications

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Opportunistic Spatial Preemptive Scheduling for URLLC and eMBB Coexistence in Multi-User 5G Networks

Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio

Interference Aware Iterative Block Decision Feedback Equalizer for Single Carrier Transmission

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