Successive Convex Quadratic Programming for Quality-of-Service Management in Full-Duplex MU-MIMO Multicell Networks

Tam, H. H. M.; Tuan, Hoang Duong; Ngo, Duy T.

doi:10.1109/tcomm.2016.2550440

Cited by 110 publications

(131 citation statements)

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“…They are quite challenging computationally due to nonconcave objective function and nonconvex constraints. However, we will see that the PS problem can be efficiently addressed by adapting the algorithm of [16]. On the other hand, the TS problem is much more challenging because the TS variable α α α is not only coupled with the DL throughput function but also coupled with the SI in the UL throughput function.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, there is no known method to recover the precoder matrices from the signal covariance. Only recently, the MIMO throughput function optimization has been successfully addressed for non-EH system in our previous work via a successive convex quadratic programming [16]. The result of [16] can be adapted to MIMO networks that employ EH by PS approach.…”

Section: Introductionmentioning

confidence: 99%

“…Only recently, the MIMO throughput function optimization has been successfully addressed for non-EH system in our previous work via a successive convex quadratic programming [16]. The result of [16] can be adapted to MIMO networks that employ EH by PS approach. However, there is almost no serious research for the systems employing TS in MIMO networks.…”

Section: Introductionmentioning

confidence: 99%

“…Though TSbased system is practically easier to implement, the related formulated problem is quite complex because the throughput function in such case is coupled with the TS variable that defines the portion of time slot dedicated to EH and ID. This renders the aforementioned precoder design [14]- [16] for PS inapplicable. To the best of our knowledge, both the throughput maximization problem and the harvested energy maximization problem with TS are still very open.…”

Section: Introductionmentioning

confidence: 99%

“…Our previous work [16] has recently proposed a framework to directly find the optimal precoding matrices for the sum throughput maximization under throughput constraints in FD MU-MIMO multi-cell networks, which requires only a convex quadratic program of moderate size in each iteration and thus is very computationally efficient.…”

Section: Introductionmentioning

confidence: 99%

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MIMO Energy Harvesting in Full-Duplex Multi-User Networks

Tam

Tuan

Nasir

et al. 2017

IEEE Trans. Wireless Commun.

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Abstract-The paper aims at the efficient design of precoding matrices for the sum throughput maximization under throughput QoS constraints and energy harvesting (EH) constraints for energy-constrained devices in a full-duplex (FD) multicell multiuser multiple-input-multiple-output (MU-MIMO) network. Both time splitting (TS) and power splitting (PS) are considered to ensure practical EH and information decoding (ID). These problems are quite complex due to highly non-concave objectives and nonconvex constraints. Especially, with TS, which is implementation-wise quite simple, the problem is even more challenging because time splitting variable is not only coupled with the downlink (DL) throughput function but also coupled with the self-interference (SI) in the uplink (UL) throughput function. New path-following algorithms are developed for their solutions, which just require a single convex quadratic program for each iteration and ensure fast convergence too. Finally, the FD EH maximization problem under throughput QoS constraints in TS is also considered. The performance of the proposed algorithms is also compared with that of the modified problems assuming half-duplex systems. In the end, the merit of the proposed algorithms is shown through extensive simulations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MIMO Energy Harvesting in Full-Duplex Multi-User Networks

Tam

Tuan

Nasir

et al. 2017

IEEE Trans. Wireless Commun.

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Full‐Duplex in Small‐Cell Networks

Hong

2019

Wiley 5G Ref

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Based on recent advances in analog/digital circuits for self‐interference cancellation, the use of full duplex (FD) in small‐cell networks has been receiving increasing attention as a promising solution to cope with explosive demand for wireless communications. FD operation has the potential to double the spectral efficiency of point‐to‐point communications by enabling concurrent transmission and reception over the same frequency band. However, the spectral efficiency gain of FD can be significantly limited in small‐cell networks if traditional strategies developed for half duplex (HD) are reused without careful consideration of cross‐mode interference. In this article, we look at some major issues in developing FD communication strategies for small‐cell networks and introduce recent results on spectral efficiency gains of FD over HD in various networks. First, we focus on single‐antenna systems. To improve mitigate the cross‐mode interference, selection diversity is exploited by allocating the same channel to widely separated uplink/downlink users, opportunistically scheduling uplink/downlink user pair, and selecting FD/HD mode. In particular, the spectral efficiency gain of FD over HD can be at most about 20% in randomly deployed large networks. This low gain comes from the limited interference avoidance capability of single‐antenna systems. Second, we shift our focus to multi‐antenna systems. By means of multi‐antenna techniques, multi‐antenna system can effectively mitigate the aggregated network interference. In particular, the FD operation can asymptotically double the spectral in randomly deployed large networks with massive MIMO. Finally, we present challenges and opportunities in developing FD strategies for future small‐cell networks.

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Optimal precoders and power splitting factors in multiuser multiple‐input multiple‐output cognitive decode‐and‐forward relay systems with wireless energy harvesting

Kha

2021

Int J Communication

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This paper considers an underlay cognitive radio (CR) wireless network with the assistance of a two-hop decode-and-forward (DF) relay node. Different from the conventional CR relay networks, in this paper, the relay node using power-splitting (PS) techniques harvests wireless energy transmitted from the secondary base station (SBS) and, then, uses its harvested energy to forward the received signals to multiple secondary receive users (SRUs). Due to the highly mutual dependence of the transmission strategies at nodes on the system performance, the optimal design of signal processing at transceivers to efficiently handle the interference and energy constraints is crucial. This paper studies the jointly optimal design of the precoders, PS factors to maximize the minimum user rate under the transmit power, harvested energy, and interference power constraints. Owing to the nonlinearly and mutually coupled design matrix variables in both objective function and constraints, the joint design of the precoders and PS factors for the concerned problem is mathematically challenging. To tackle these difficulties, we devise the appropriate surrogate functions to recast the nonconvex optimization problem into the convex one.By using the minorization-maximization framework, an efficient iterative algorithm with provable convergence is developed by solving the convex optimization problem in each iteration. Numerical results are provided to evaluate the achievable user rate performance of the considered system and investigate the effects of the interference power thresholds at the primary receive users and the number of antennas at the SBS and the relay on the minimum achievable user rate. K E Y W O R D S cognitive radio, MIMO users, relay networks, simultaneously wireless information and power transfer (SWIPT) 1 | INTRODUCTION Cognitive radio (CR) has been recognized as an effective means to deal with the spectrum scarcity for the next generation of wireless communications. In underlay CR approaches, secondary users (SUs) can communicate at the same time

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Successive Convex Quadratic Programming for Quality-of-Service Management in Full-Duplex MU-MIMO Multicell Networks

Cited by 110 publications

References 31 publications

MIMO Energy Harvesting in Full-Duplex Multi-User Networks

MIMO Energy Harvesting in Full-Duplex Multi-User Networks

Full‐Duplex in Small‐Cell Networks

Optimal precoders and power splitting factors in multiuser multiple‐input multiple‐output cognitive decode‐and‐forward relay systems with wireless energy harvesting

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