Combined User Pairing and Spectrum Allocation for Multiuser SC-FDMA Transmission

Ruder, Michael A.; Ding, Daiyong; Dang, Uyen Ly; Gerstacker, Wolfgang H.

doi:10.1109/icc.2011.5962572

Cited by 18 publications

(15 citation statements)

References 12 publications

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“…(2), (6), and (7), we can obtain the effective capacity of User 2 and User 1 when using the non-collaborative V-MIMO transmission, denoted by C 2S (P 1 (ν 1 ), P 2 (ν), θ) and C 1S (P 1 (ν 1 ), P 2 (ν), θ), respectively, as (12) and…”

Section: A Optimization Problem Formulation For Qos-guaranteed Non-cmentioning

confidence: 99%

“…If the number of receive antennas on the BS is equal to or larger than the number of transmitting single-antenna users, the multiple data flows from different single-antenna users can be decoded at the BS. This kind of transmission is called as the virtual-MIMO (V-MIMO) transmission in the uplink [10]- [12]. For current popular V-MIMO wireless cellular networks, such as the V-MIMO in Long Term Evolution (LTE), there is no collaboration among mobile users.…”

Section: Introductionmentioning

confidence: 99%

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QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks

Cheng

Zhang

2013

IEEE J. Select. Areas Commun.

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Abstract-To enable multiple mobile users to transmit their signals simultaneously over the same sub-channels, the virtual multiple-input multiple-output (V-MIMO) techniques can exploit the multiple-input multiple-output (MIMO) spectrum efficiency gain. Traditional V-MIMO transmission schemes mainly focus on maximizing the throughput of grouped mobile users without taking into account the quality-of-service (QoS) provisionings. In this paper, we propose the optimal power allocation schemes with statistical QoS provisionings to maximize the effective capacity of non-collaborative/collaborative V-MIMO wireless networks, respectively. For non-collaborative V-MIMO wireless networks, the mobile users in one V-MIMO group transmit signals independently over the same sub-channels. In the view point of existing mobile users, they solely occupy the sub-channels. Thus, the existing mobile users employ the QoS-driven single-user power allocation scheme to maximize their effective capacity. By converting the non-collaborative V-MIMO transmission optimization problem into a strictly convex optimization problem, we derive the QoS-driven power allocation scheme for the newly added mobile users to maximize their effective capacity. For collaborative V-MIMO wireless networks where the mobile users in one group can collaboratively transmit their signals, we derive the QoS-driven collaborative power allocation schemes for both the existing and the newly added mobile users. Also conducted is a set of simulation evaluations, showing that our proposed power allocation schemes for V-MIMO wireless networks outperform the other existing schemes.

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Section: A Optimization Problem Formulation For Qos-guaranteed Non-cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks

Cheng

Zhang

2013

IEEE J. Select. Areas Commun.

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“…The problem of joint user pairing and radio frequency assignment without QoS constraints has been studied in several papers before [3]- [6]. In [3] a reduced-complexity iterative algorithm for minimization of the total block error rate was proposed.…”

Section: Introductionmentioning

confidence: 99%

User pairing and power allocation for energy efficient SC-FDMA transmission with QoS requirements

Ruder

Wechsler

Gerstacker

2013

2013 IEEE Globecom Workshops (GC Wkshps)

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In this paper we consider joint user pairing, frequency resource and power allocation with Quality of Service (QoS) requirements for a single-carrier frequency-division multiple-access (SC-FDMA) uplink transmission. The optimum solution to this problem is derived for a zero-forcing (ZF) and a minimum mean-squared error (MMSE) equalizer, respectively. It is shown that the required powers for a given data rate can be analytically determined for the ZF equalizer, whereas a numerical solution is provided for MMSE equalization. The optimum approach to the joint optimization problem requires far too much computational complexity for an actual implementation and therefore two suboptimal algorithms with reduced complexity are proposed. Numerical results are presented that show that the reduced-complexity algorithms perform close to the optimum scheme.

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“…Let us denote by R * n,k , the maximum achievable rate by each user k over chunk n, obtained from (10). Then, (7) becomes…”

Section: Joint Power and Chunk Allocationmentioning

confidence: 99%

“…In [9], another modification of the greedy algorithm of [3], called maximum greedy algorithm was proposed. In [10], a virtual multiple input multiple output (V-MIMO) model was used and assuming that two users transmit their data in the same time slot and frequency band, a combination of the Hungarian algorithm and the binary switching algorithm for chunk allocation was proposed.…”

Section: Introductionmentioning

confidence: 99%

Jointly optimal chunk and power allocation in uplink SC-FDMA

Mert

Kaya²,

Çırpan

2013

2013 IEEE International Conference on Communications (ICC)

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Abstract-For a single carrier frequency division multiple access (SC-FDMA) system, we obtain the jointly optimal power and chunk allocation policies which maximize the sum rate. Our solution is applicable to both localized and interleaved subcarrier mapping schemes. We solve the joint optimization problem by sequentially solving two sub-problems: power allocation and chunk allocation. Primarily, we use an optimal power allocation algorithm, which we derive from Karush-Kuhn-Tucker (KKT) conditions; and then we convert the optimum chunk assignment problem into a maximum weighted matching problem on a bipartite graph, and hence solve it in polynomial time. We also propose two greedy chunk allocation algorithms with lower complexity, and demonstrate that these algorithms produce near optimal results, especially for interleaved subcarrier mapping, when used in conjunction with optimal power control.

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Combined User Pairing and Spectrum Allocation for Multiuser SC-FDMA Transmission

Cited by 18 publications

References 12 publications

QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks

QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks

User pairing and power allocation for energy efficient SC-FDMA transmission with QoS requirements

Jointly optimal chunk and power allocation in uplink SC-FDMA

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