Joint Resource and Power Allocation for URLLC-eMBB Traffics Multiplexing in 6G Wireless Networks

Almekhlafi, Mohammed; Arfaoui, Mohamed Amine; Assi, Chadi; Ghrayeb, Ali

doi:10.1109/icc42927.2021.9500443

Cited by 23 publications

(29 citation statements)

References 14 publications

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“…Recently, [17] proposed an approach to improve the supported loads for URLLC in the uplink, for both H-OMA and H-NOMA in presence of eMBB traffic, showing the superiority of H-NOMA in ensuring the reliability requirements of both the services. A similar analysis but for the downlink is conducted in [18], [19] where optimal resource allocation strategies and H-NOMA are combined to satisfy the eMBB and URLLC QoS constraints, under the assumption of perfect eMBB CSI and statistical URLLC CSI knowledge.…”

Section: A Related Workmentioning

confidence: 99%

On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO

Interdonato¹,

Buzzi²,

D’Andrea³

et al. 2023

Preprint

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The non-orthogonal coexistence between the enhanced mobile broadband (eMBB) and the ultra-reliable lowlatency communication (URLLC) in the downlink of a multicell massive MIMO system is rigorously analyzed in this work. We provide a unified information-theoretic framework blending an infinite-blocklength analysis of the eMBB spectral efficiency (SE) in the ergodic regime with a finite-blocklength analysis of the URLLC error probability relying on the use of mismatched decoding, and of the so-called saddlepoint approximation. Puncturing (PUNC) and superposition coding (SPC) are considered as alternative downlink coexistence strategies to deal with the inter-service interference, under the assumption of only statistical channel state information (CSI) knowledge at the users. eMBB and URLLC performances are then evaluated over different precoding techniques and power control schemes, by accounting for imperfect CSI knowledge at the base stations, pilot-based estimation overhead, pilot contamination, spatially correlated channels, the structure of the radio frame, and the characteristics of the URLLC activation pattern. Simulation results reveal that SPC is, in many operating regimes, superior to PUNC in providing higher SE for the eMBB yet achieving the target reliability for the URLLC with high probability. Moreover, PUNC might cause eMBB service outage in presence of high URLLC traffic loads. However, PUNC turns to be necessary to preserve the URLLC performance in scenarios where the multi-user interference cannot be satisfactorily alleviated.

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Section: A Related Workmentioning

confidence: 99%

On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO

Interdonato¹,

Buzzi²,

D’Andrea³

et al. 2023

Preprint

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“…The first group includes high rate (e.g., eMBB) users that utilize typical 𝑀QAM modulation over OFDM (where 𝑀 is the QAM modulation order)referred to as QAM users. The second group consists of users with low rate and low BEP requirements (e.g., URLLC)referred to as IM (index modulation) users 2 . The base station (BS) uses a simple, specially designed OFDM-IM/OFDM-QAM scheme to convey URLLC information on top of existing QAM users in a NOMA fashion, which we call IM-QAM NOMA.…”

Section: System Modelmentioning

confidence: 99%

“…However, due to increased power and the structure of the IM symbols (one antipodal and two orthogonal per each one of them), the probability P{𝐷 (𝜆) 0 > 𝐷 (1) 0 }, for 𝜆 = 2, 3, 4, that another than the first (correct) reference symbol results in a greater decision variable, does not practically affect the final BEP 4 . So we disregard the cases P{𝐷 (2) 0 > 𝐷 (𝜆) 𝑖 }, P{𝐷 (3) 0 > 𝐷 (𝜆) 𝑖 }, and P{𝐷 (4) 0 > 𝐷 (𝜆) 𝑖 }, for the rest of the analysis, and focus on P{𝐷 (1) 0 > 𝐷 (𝜆) 𝑖 }, that is, the probability that the decision variable corresponding to the correct IM symbol of the active subcarrier is greater than the decision variables of all other subcarriers and reference symbols. Thus, taking 𝑉 (1) * 0 = √︁ 𝑃 IM sc /2(1 − 𝑗), we get, after some algebraic manipulations,…”

mentioning

confidence: 99%

“…= −𝜉 (1) 𝑖 , and 𝜉 (4) 𝑖 = −𝜉 (2) 𝑖 , with 𝑥 𝑅 𝑖 and 𝑥 𝐼 𝑖 representing the real, and imaginary part of the QAM symbol of the 𝑖th subcarrier, i.e., 𝑥 𝑖 = 𝑥 𝑅 𝑖 + 𝑗𝑥 𝐼 𝑖 . Note that especially for 𝜉 (1) 0 , 𝑥 𝑅 0 and 𝑥 𝐼 0 take only the values of the first quadrant, while for all other cases (𝑖 ≠ 0), all values in the set 𝑘 QAM [±(2𝑝 − 1)], 𝑝 ∈ {1, .…”

mentioning

confidence: 99%

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A Robust OFDM IM-QAM NOMA Scheme for URLLC and eMBB Downlink Service Coexistence

Iossifides¹,

Lioumpas²,

Yioultsis³

2022

Preprint

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This work introduces a non-orthogonal multiple access (NOMA) downlink scheme, reinforced by a simple multiplexing technique of index modulation (IM) and quadrature amplitude modulation (QAM) signals, tailored to minimize their mutual interference. Integrated with orthogonal frequency division multiplexing (OFDM), this scheme achieves low bit error probability for the IM signal, at the cost of lower information rate, while practically affecting the performance of the QAM signal only due to power sharing. These characteristics, along with the provided wide range of power allocation possibilities, facilitate favorable user pairing strategies, which can be efficiently applied to multiplexing low-rate ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) services, conveyed by the IM, and QAM signals, respectively. Aiming at providing a proof of concept of the proposed scheme, the bit error probability of both signals, the rate reduction of the eMBB service under a power constraint, and the excess power required for the URLLC service, on top of the eMBB service, are quantified and analyzed, over diversity Rayleigh fading channels, with conventional, low complexity detection. Overall, the results show that the proposed scheme provides a robust solution for URLLC and eMBB downlink service coexistence for 5G communications and beyond.

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“…Moreover, at present, URLLC services are expected to have lower traffic volumes than eMBB services [12], but this will not hold in the future for applications such as virtual reality and haptics. In this framework, the design of radio resource allocation strategies for URLLC traffic, when coexisting with eMBB, has been a focal point of recent research efforts [13]- [16].…”

Section: Introductionmentioning

confidence: 99%

Scheduling of Heterogeneous Services by Resolving Conflicts

et al. 2022

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Fifth generation (5G) new radio introduced flexible numerology to accommodate heterogeneous services. However, optimizing the scheduling of heterogeneous services with differing delay and throughput requirements over 5G new radio is a challenging task. In this paper, we investigate near optimal, low complexity scheduling of radio resources for ultra-reliable low-latency communications (URLLC) when coexisting with enhanced mobile broadband (eMBB) services. We demonstrate that maximizing the sum throughput of eMBB services while servicing URLLC users over a fixed length time-frequency grid, is, in the long-term, equivalent to minimizing the number of URLLC placements in the time-frequency grid; this is the consequence of reducing the number of infeasible placements for eMBB, to which we refer to as ''conflicts.'' To meet this new objective, we evaluate the performance of new, conflict-aware heuristics, consisting of a family of ''greedy'' and a lightweight heuristic inspired by bin packing optimization, all of near optimal performance. Moreover, having shed light on the impact of conflict in layer-2 scheduling, we investigate non-orthogonal multiple access (NOMA) as a potential approach for conflict resolution leveraging superposition coding. The superior performance of NOMA with respect to OMA, thanks to resolving conflicts, is showcased by extensive numerical results.

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Joint Resource and Power Allocation for URLLC-eMBB Traffics Multiplexing in 6G Wireless Networks

Cited by 23 publications

References 14 publications

On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO

On the Coexistence of eMBB and URLLC in Multi-cell Massive MIMO

A Robust OFDM IM-QAM NOMA Scheme for URLLC and eMBB Downlink Service Coexistence

Scheduling of Heterogeneous Services by Resolving Conflicts

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