Delay aware cell association and user scheduling in heterogeneous overlay networks

Li, Jian; Li, Yuan; Cheng, Aolin; Peng, Mugen

doi:10.1109/pimrcw.2013.6707846

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…In [16], the arrival of burst data and cross-tier interference-sensitive resource management were considered to maximize the throughput of SCNs without performance delay. Li et al proposed a delay-sensitive resource allocation algorithm based on the Markov decision process to maximize the average delay for all users in [17]. Because the authors focused on the average delay for all users, the method of resource allocation and providing an explicit delay guarantee for users were ignored.…”

Section: Related Workmentioning

confidence: 99%

A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN

Zhang

Qiu

et al. 2019

IEEE Access

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A kind of novel method of power allocation with limited cross-tier interference for cognitive radio network (CRN) is proposed in this paper. In this method, an interference-limited power allocation algorithm based on filter bank multi-carrier-offset quadrature amplitude modulation (FBMC-OQAM) is put forward. In order to improve the energy efficiency of the entire network and protect secondary users (SUs) in the network from too much interference, cross-tier interference limit is adopted, at the same time, virtual queue is designed to transform the extra packet delay caused by the contention for the channel of multiuser into the queuing delay. Taking the energy efficiency as the objective function, a nonlinear programming approach with nonlinear constraints is innovatively proposed under the constraints of time delay and transmission power. An iterative algorithm in order to solve the problem is also put forward. In the new algorithm, the fractional objective function is transformed into polynomial form, and the global optimal solution is obtained by iteration after reducing the computational complexity. In addition, a sub-optimal algorithm is proposed to reduce computational complexity. The experimental results show that the optimal algorithm has higher performance while the sub-optimal algorithm has a lower computational complexity. The presented method has very good practical importance for the CRN. INDEX TERMS Cognitive radio network (CRN), power allocation, FBMC-OQAM, Lagrange dual. I. INTRODUCTION The cognitive radio (CR) network (or CRN) [1]-[3] is a wireless communication network composed of cognitive users. Some or all of the devices in a CR network can access authorized as well as unauthorized frequency bands. Thus, compared with traditional wireless networks, CR networks have high spectral efficiency, and this makes them a key technology for next-generation mobile communication networks. The spectrum-sharing cognitive radio network is an interference-controlled CR network that can interfere with the primary user (PU) but cannot exceed its interference temperature limit. An interference temperature limit is added to The associate editor coordinating the review of this manuscript and approving it for publication was Xianfu Lei.

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Section: Related Workmentioning

confidence: 99%

A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN

Zhang

Qiu

et al. 2019

IEEE Access

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“…Since at least 1 satisfaction equilibrium exists, the UEs will select a satisfaction equilibrium at least once during playing game. According to Equation (15), when 1 equilibrium is played, the UEs would not change their actions. Therefore, this concludes the proof of converging the learning procedure.…”

Section: Appendix a : Proof Of Theoremmentioning

confidence: 99%

“…In these networks, the cochannel interference and different transmission power levels of BSs may lead to an unbalanced distribution of traffic load. 15 User equipment association plays an important role in balancing load among BSs and suppressing unnecessary interference. Thus, it significantly impacts the network performance by offloading the UEs from the overloaded BSs to the lightly loaded BSs.…”

Section: Introductionmentioning

confidence: 99%

A distributed learning–based user association for heterogeneous networks

Arani

Omidi

Mehbodniya

et al. 2017

Trans Emerging Tel Tech

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The coexistence of various base stations (BSs) in heterogeneous networks (HetNets) has emerged as a promising approach to meet the ever increasing network capacity. In these networks, one of the important issues is the problem of associating user equipments (UEs) to BSs. In this paper, we investigate the UE association (UEA) problem in heterogeneous networks and propose a load-aware UEA mechanism based on the BSs' estimated load and signal-to-interference-and-noise ratio. The proposed mechanism can capture the trade-off between UE's quality-of-service requirement and delay. We model this strategic UE-BS association as a noncooperative game. To solve the game, we develop a fully distributed algorithm inspired by machine learning techniques, whereby the proposed UEA scheme corresponds to a Markov chain.In the proposed scheme, each UE senses its environment and decides which BS to select based on the satisfaction technique. Therefore, it achieves a high level of satisfaction for UEs. Furthermore, use of historical information helps UEs select BSs with better long-term performance. Simulation results show that the proposed mechanism reduces fractional transfer time and the number of unsatisfied UEs, respectively, up to about 46% and 52.3% and improves BS throughput up to about 15.4% compared to a benchmark algorithm that is based on the received signal strength and the BS's estimated load.

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Cross-Layer Rate Control and Resource Allocation in Spectrum-Sharing OFDMASmall Cell Networks with Delay Constraints

Guo

Yang

Liu

et al. 2016

IEEE Trans. Veh. Technol.

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Delay aware cell association and user scheduling in heterogeneous overlay networks

Cited by 3 publications

References 7 publications

A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN

A Kind of Novel Method of Power Allocation With Limited Cross-Tier Interference for CRN

A distributed learning–based user association for heterogeneous networks

Cross-Layer Rate Control and Resource Allocation in Spectrum-Sharing OFDMASmall Cell Networks with Delay Constraints

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