[논문]A QEE-Oriented Fair Power Allocation for Two-tier Heterogeneous Networks

Ji, Shiyu; Tang, Liangrui; He, Yanhua; Li, Shuxian; Du, Shimo

doi:10.3837/tiis.2018.05.001

A QEE-Oriented Fair Power Allocation for Two-tier Heterogeneous Networks 원문보기

KSII Transactions on internet and information systems : TIIS, v.12 no.5, 2018년, pp.1912 - 1931

Ji, Shiyu (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) , Tang, Liangrui (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) , He, Yanhua (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) , Li, Shuxian (State Key Laboratory of Alternate Electrical Power System, North China Electric Power University) , Du, Shimo (China mobile communication corporation H angzhou branch)

Abstract ▼ AI-Helper

In future wireless network, user experience and energy efficiency will play more and more important roles in the communication systems compared to their roles at present. Quality of experience (QoE) and Energy Efficiency (EE) become the widely used metrics. In this paper, we study a combinatorial problem of QoE and EE and investigate a fair power allocation in heterogeneous networks. We first design a new metric, QoE-aware EE (QEE) to reflect the relationship of QoE and energy. Then, the concept of Utopia QEE is introduced, which is defined as the achievable maximum QEE in ideal conditions, for each user. Finally, we transform the power allocation process to an optimization of ratio of QEE and Utopia QEE and use invasive weed optimization (IWO) algorithm to solve the optimization problem. Numerical simulation results indicate that the proposed algorithm can get converged and efficiently improve the system energy efficiency and the QoE for each user.

주제어

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

Considering these financial and environmental problems, energy efficiency is also necessary to be paid attention to [7,8]. In this paper, how to properly realize power allocation to improve the energy efficiency (EE) and QoE under such environment is our primary goal.
In this work, our aim is to improve the EE and QoE of each user in a fair manner by power allocation. The main contribution of our work is summarized as follows.
Since, different users will have different QoE and EE requirements, the QoE and EE for each user should be individually considered, rather than as a whole. So, in this paper, we investigate the power allocation in heterogeneous network to improve the QoE and EE of each user. We also design a metric called QoE-aware energy efficiency to measure the QoE and EE of each user.

가설 설정

1. The coverage radius of the macro-cell is 500m, and LPN is 10m. Each user is randomly distributed in the network.

이론/모형

So the practical algorithm should have fast convergence speed to get the optimal solution. In this paper, we use the Invasive Weed Optimization (IWO) to solve the optimal problem. The IWO has strong robustness to achieve the optimal value.
The authors in [11] propose a power allocation scheme to maximize the sum-rate of network. The scheme formulates a standard non-convex quadratically constrained quadratic problem (QCQP) and uses a distributed algorithm to solve it. In [12], the authors also propose an optimal power allocation to maximize the capacity of network.

성능/효과

To find the optimal value, we use IWO to solve it. Simulation results demonstrate that the proposed algorithm can improve the QoE and EE, and achieve high QoE fairness among users. In future, we will extend our work to the scenario where there exists much relay nodes in each cell.
The EPAS is outperformances in three algorithms and the proposed algorithm is second to the EEUA. The reason is the proposed algorithm does not only consider to promote the fairness but also considers to improve the average MOS, so the performance in terms of average MOS is inferior to EPAS. But as shown in Fig.

참고문헌 (32)

N. Bhushan, J. Li, D. Malladi, R. Gilmore, D. Brenner and A. Damnjanovic, et al., "Network densification: The dominant theme for wireless evolution into 5G," IEEE Communications Magazine, vol. 52, no. 2, pp. 82-89, February 2014.

상세보기
J. G. Andrews, S. Buzzi, W. Choi, S. V. Hanly, A. Lozano and A. C. K. Soong, et al., "What Will 5G Be?," IEEE Journal on Selected Areas in Communications, vol. 32, no. 6, pp. 1065-1082, June 2014.

상세보기
M. Jo, T. Maksymyuk, R. L. Batista, T. F. Maciel, A. L. F. de Almeida and M. Klymash, "A survey of converging solutions for heterogeneous mobile networks," IEEE Wireless Communications, vol. 21, no. 6, pp. 54-62, December 2014.

상세보기
N. Ul Hasan, W. Ejaz, N. Ejaz, H. S. Kim, A. Anpalagan and M. Jo, "Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks," IEEE Access, vol. 4, pp. 980-992, February, 2016.

상세보기
J. Dai and S. Wang, "QoE-driven resource allocation method for cognitive radio networks," in Proc. of 2016 IEEE International Conference on Communications (ICC), pp. 1-6, May 22-27, 2016.
H. Shao, W. P. Jing, X.M. Wen, Z.M. Lu, H.J. Zhang and Y.W. Chen, et al., "Joint Optimization of Quality of Experience and Power Consumption in OFDMA Multicell Networks," IEEE Communications Letters, vol. 20, no. 2, pp. 380-383, February 2016.

상세보기
Y. S. Soh, T. Q. S. Quek, M. Kountouris and H. Shin. "Energy Efficient Heterogeneous Cellular Networks." IEEE Journal on Selected Areas in Communications, vol. 31, no. 5, pp. 840-850, April 2013.

상세보기
S. Bu, F. R. Yu and H. Yanikomeroglu, "Interference-Aware Energy-Efficient Resource Allocation for OFDMA-Based Heterogeneous Networks With Incomplete Channel State Information," IEEE Transactions on Vehicular Technology, vol. 64, no. 3, pp. 1036-1050, March 2015.

상세보기
R. Cai, J. K. Zhang, T. N. Davidson, W. Zhang, K. M. Wong and P. C. Ching, "A Power Allocation Strategy for Multiple Poisson Spectrum-Sharing Networks," IEEE Transactions on Wireless Communications, vol. 14, no. 4, pp. 1785-1799, April 2015.

상세보기
G. Ding, J. Wang, Q. Wu, Y. Yao, R. Li and H. Zhang, et al., "On the limits of predictability in real-world radio spectrum state dynamics: from entropy theory to 5G spectrum sharing," IEEE Communications Magazine, vol. 53, no. 7, pp. 178-183, July 2015.

상세보기
S. w. Han, H. Kim, Y. Han, J. M. Cioffi and V. C. M. Leung, "A Distributed Power Allocation Scheme for Sum-Rate Maximization on Cognitive GMACs," IEEE Transactions on Communications, vol. 61, no. 1, pp. 248-256, January 2013.

상세보기
W. Zhou, Y. Xu, T. Liang and X. Ren, "Optimal power allocation for heterogeneous network capacity maximization," China Communications, vol. 10, no. 9, pp. 97-103, September 2013.

상세보기
Y. Gao, L. Cheng, X. Zhang, Y. Zhu, Y, Zhang. "Enhanced Power Allocation Scheme in Ultra-Dense Small Cell Network," China Communications, vol. 13, no. 2, pp. 21-9, February 2016.

상세보기
J. Li, T. Eriksson, T. Svensson and C. Botella, "Power Allocation for Two-Cell Two-User Joint Transmission," IEEE Communications Letters, vol. 16, no. 9, pp. 1474-1477, September 2012.

상세보기
Y. Li, Z. Zhou, M. Macuha and T. Sato., "Resource Allocation for Proportional Rate Constraint Macro Cell-edge Users in Macro-Femto Network," Transaction of the Japan Society for Simulation Technology, vol. 4, no. 4, pp. 136-144, March 2012.
J. Qiu, G. Ding, Q. Wu, Z. Qian, T. A. Tsiftsis and Z. Du, et al., "Hierarchical Resource Allocation Framework for Hyper-Dense Small Cell Networks," IEEE Access, vol. 4, pp. 8657-8669, 2016.

상세보기
J.F. Qiu, Q. H. Wu, Y. Xu and Y. Sun, "Demand-aware resource allocation for ultra-dense small cell networks: an interference-separation clustering-based solution," Transaction on Emerging Telecommunications Technologies, vol. 27, no. 8, August 2016.
D. W. K. Ng, E. S. Lo, and R. Schober, "Energy-efficient resource allocation in multi-cell OFDMA systems with limited backhaul capacity," IEEE Transactions on Wireless Communication, vol. 11, no. 10, pp. 3618-3631, October 2012.

상세보기
Y. Lin, S. Li, Y. Wang, C. Li, Y. Huang and L. Yang, "Energy efficient power allocation scheme in heterogeneous cellular networks," in Proc. of 2015 International Conference on Wireless Communications & Signal Processing (WCSP), pp. 1-5, 2015.
A. Zappone, Z. Chong, E. A. Jorswieck and S. Buzzi, "Energy-Aware Competitive Power Control in Relay-Assisted Interference Wireless Networks," IEEE Transactions on Wireless Communications, vol. 12, no. 4, pp. 1860-1871, April 2013.

상세보기
G. Miao, N. Himayat, G. Y. Li and S. Talwar, "Distributed Interference-Aware Energy-Efficient Power Optimization," IEEE Transactions on Wireless Communications, vol. 10, no. 4, pp. 1323-1333, April 2011.

상세보기
Bin Han, Wenbo Wang and Mugen Peng, "A power allocation scheme for achieving high energy efficiency in two-tier femtocell networks," in Proc. of 2011 IEEE 13th International Conference on Communication Technology, pp. 352-356, 2011.
Y. Li, M. Sheng, X. Wang, Y. Zhang and J. Wen, "Max-Min Energy-Efficient Power Allocation in Interference-Limited Wireless Networks," IEEE Transactions on Vehicular Technology, vol. 64, no. 9, pp. 4321-4326, September 2015.

상세보기
D. Yuan, M. Song, Y. Teng, D. Ma, X. Wang and G. Lu, "QoE-oriented resource allocation for multiuser-multiservice femtocell networks," China Communications, vol. 12, no. 10, pp. 27-41, Oct. 2015.

상세보기
Chen, Feng, X. Qin, and G. Wei. "QoE Optimized Resource Allocation in Multiuser OFDM Systems," Przeglad Elektrotechniczny, vol. 88, no. 7, pp.328-331, 2012.
Y. H. Cho, H. Kim, S. H. Lee and H. S. Lee, "A QoE-Aware Proportional Fair Resource Allocation for Multi-Cell OFDMA Networks," IEEE Communications Letters, vol. 19, no. 1, pp. 82-85, January 2015.

상세보기
S. Thakolsri, S. Khan, E. Steinbach and W. Kellerer. "QoE-driven cross-layer optimization for high speed downlink packet access," Journal of Communications, vol. 4, no. 9, pp. 669-680, October 2009.
Q. T. Nguyen-Vuong, Y. Ghamri-Doudane and N. Agoulmine, "On utility models for access network selection in wireless heterogeneous networks," in Proc. of NOMS 2008 - 2008 IEEE Network Operations and Management Symposium, pp. 144-151, 2008.
W. Dinkelbach, "On nonlinear fractional programming," Managemet Science, vol. 13, no. 7, pp. 492-498, March 1967.

상세보기
Haijun Zhang, Chunxiao Jiang, Xiaoli Chu, Xiangming Wen, Meixia Tao. "Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Service," IEEE Transactions on Communications, vol. 62, No. 7, pp. 2366-2377. July 2014.

상세보기
G. Yu, Y. Jiang, L. Xu and G. Y. Li, "Multi-Objective Energy-Efficient Resource Allocation for Multi-RAT Heterogeneous Networks," IEEE Journal on Selected Areas in Communications, vol. 33, no. 10, pp. 2118-2127, Oct. 2015.

상세보기
H. Chen, Y. Zhou, S. He, X. Ouyang, and P. G. Guo. "Invasive Weed Optimization Algorithm for Solving Permutation Flow-Shop Scheduling Problem," Journal of Computational and Theoretical Nanoscience, vol. 10, No. 3, pp. 708-713, March 2013.

상세보기

저자의 다른 논문 :

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증