Joint User Pairing and Resource Allocation for LTE Uplink Transmission

Fan, Jiancun; Li, Geoffrey Ye; Yin, Qinye; Peng, Bingguang; Zhu, Xiaolong

doi:10.1109/twc.2012.070912.111305

Cited by 48 publications

(54 citation statements)

References 21 publications

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“…Some research works have been performed on the criteria of user pairing/grouping for virtual MIMO systems. Most of these proposed criteria are derived from the channel capacity [6], [9]- [11]. In [6], n-user virtual MIMO channel capacity is calculated using the theory in [7], and a suboptimal pairing algorithm which selects pairing users one by one is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, in [8], the decision metric which employs instantaneous receiving signal-to-noise ratio (SNR) after maximum likelihood (ML) detection is equivalent to MIMO channel capacity. In [9], J. Fan et al analyze the receiving signal to interference plus noise ratio (SINR) after minimum mean square error (MMSE) equalization and use Shannon capacity as user scheduling criterion.…”

Section: Introductionmentioning

confidence: 99%

“…In order to obtain both the multiuser diversity gain and frequency selective gain, joint resource allocation algorithms with user grouping for SC-FDMA uplink virtual MIMO systems are proposed in [9], [18]. Different from sub-channel allocation for orthogonal frequency division multiplexing access (OFDMA), users can only be assigned to multiple sub-channels that are adjacent to each other in SC-FDMA system [20], [21].…”

Section: Introductionmentioning

confidence: 99%

“…Since the same number of resources is allocated to each user pair, it is not optimum for system throughput. In [9], a joint user pairing and resource allocation algorithm with flexible number of resources and user pairs is proposed to maximize the overall throughput. In [24], in order to obtain a trade-off between throughput and average mean squared error (MSE) performance, the algorithm which includes user grouping and resource allocation in a single cell based on average MSE performance is investigated.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic User Grouping and Joint Resource Allocation With Multi-Cell Cooperation for Uplink Virtual MIMO Systems

et al. 2017

IEEE Trans. Wireless Commun.

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Abstract-This paper proposes a novel joint resource allocation algorithm combining dynamic user grouping, multi-cell cooperation and resource block (RB) allocation for single carrierfrequency division multiple access (SC-FDMA) uplink in multicell virtual MIMO systems. We first develop the dynamic multicell user grouping criteria using minimum mean square error (MMSE) equalization and adaptive modulation (AM) with bit error rate (BER) constraint. Then, we formulate and solve a new throughput maximization problem whose resource allocation includes cell selection, dynamic user grouping and RB pattern assignment. Furthermore, to reduce the computational complexity significantly, especially in the case of large numbers of users and RBs, we present an efficient iterative Hungarian algorithm based on user and resource partitions (IHA URP) to solve the problem by decomposing the large scale problem into a series of small scale sub-problems, which can obtain close-to-optimal solution with much lower complexity. The simulation results show that our proposed joint resource allocation algorithm with dynamic multicell user grouping scheme achieves better system throughput with BER guarantee than fixed user grouping algorithm and other proposed schemes in the literature.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic User Grouping and Joint Resource Allocation With Multi-Cell Cooperation for Uplink Virtual MIMO Systems

et al. 2017

IEEE Trans. Wireless Commun.

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“…In order to improve the fairness performance, single proportional-fairness (SPF) and double PF (DSF) schemes are proposed in [9] and [10] at the expense of throughput loss. Furthermore, joint pairing and resource allocation schemes are studied in [11] and [12], which can achieve a high throughput at the expense of computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of cooperative virtual multiple‐input–multiple‐output in small‐cell networks

et al. 2013

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With the advent of small cell networks (SCNs) to support growing wireless data volumes and thus reduced cell sizes, cooperative communications are significantly facilitated. Applicable to 3GPP LTE-A, we propose a novel channel/queue-aware user pairing and scheduling scheme in a cooperative virtual multiple-input multiple-output (VMIMO) system. The queueing performance of the VMIMO system with the scheduling scheme is analyzed based on the finite-state Markov model (FSMM), and compared with that of non-cooperative systems. Bounds on the average queuing delay of users are derived by using a semi-definite programming (SDP) approach. The presented analyses are validated through comparing the analytical and simulation results. It is found that the introduced VMIMO pairing process is able to significantly reduce service delays, bringing on a positive impact of cooperative techniques on next generation wireless systems.

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Implementation of scheduling in hybrid power domain non‐orthogonal multiple access system considering adaptive modulation and coding schemes selection

Kryukov,

Pokamestov,

Rogozhnikov

2023

Int J Communication

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SummaryCommunication systems that simultaneously combine orthogonal (OMA) and nonorthogonal multiple access (NOMA) are currently under research. Such systems are called hybrid and have more flexibility in user multiplexing, which allows for increased system capacity. One of the main focus areas of research in such systems is radio resource scheduling. The existing research works on scheduling approaches are based on the Shannon's formula, which can be used to obtain the limit capacity by ideal modulation and coding schemes (MCS). However, it is more correct to consider scheduling based on the real capacity. To get it, one should consider the performance of real MCSs with finite code length; however, they are very rarely taken into account in NOMA research. The reason is that one of the basic unresolved problems in NOMA is MCS selection for users. To solve it, we have presented a table of joint pairwise MCS combinations with their adaptive selection for NOMA. In this work, we propose a radio resource scheduling approach for the OMA/NOMA system based on real MCSs that uses our own method of joint MCS selection for two NOMA users. By performing the simulation of the proposed scheduling approach, we have obtained both total and user capacity in the OMA/NOMA system, as well as the distribution of traffic among users, demonstrating the execution of the scheduling strategies.

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Joint User Pairing and Resource Allocation for LTE Uplink Transmission

Cited by 48 publications

References 21 publications

Dynamic User Grouping and Joint Resource Allocation With Multi-Cell Cooperation for Uplink Virtual MIMO Systems

Dynamic User Grouping and Joint Resource Allocation With Multi-Cell Cooperation for Uplink Virtual MIMO Systems

Performance analysis of cooperative virtual multiple‐input–multiple‐output in small‐cell networks

Implementation of scheduling in hybrid power domain non‐orthogonal multiple access system considering adaptive modulation and coding schemes selection

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