QoE Optimized Resource Allocation in Multiuser OFDM Systems

• Autorzy: Chen F. , Qin X. , Wei G.

Warianty tytułu

PL

Optymalizowana alokacja zasobów w systemie OFDM przy wielu użytkownikach

• Języki publikacji: EN

Abstrakty

EN

The resource allocation in multiuser Orthogonal Frequency Division Multiplexing (OFDM) systems is addressed, which aims to maximize the user-perceived quality of services instead of the conventional objective metrics. By introducing the previous application-centric Mean Opinion Score (MOS) assessment model, the problem is formulated as a bounded optimization problem, which is non-concave and difficult to develop a closed-form solution. A heuristic algorithm, which couples bound relaxation technique with further fix and drop operations is then proposed for the final solution. Simulation results indicate that our proposal can improve the overall perceived quality from users’ perspective as well as the fairness between users, in comparison with the classical throughput-oriented algorithm.

PL

Artykuł analizuje system OFDM (orthogonal frequency division multiplexing) do alokacji zasobów przy wielu użytkownikach i przesyle dużych wielkości danych. Metoda wykorzystuje serwisy QoS – Quolity of service i QoE – quality of experience.

Słowa kluczowe

EN

OFDM; MOS; quality of service; quality of experience; bound relaxation

PL

przesył danych; system OFDM

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 7b
• Strony: 328--331
• Opis fizyczny: Bibliogr. 9 poz., tab., wykr.

Twórcy

autor

Chen F.

• University of Science and Technology of China

autor

Qin X.

• University of Science and Technology of China

autor

Wei G.

• University of Science and Technology of China

Bibliografia

• [1] Xin Wang, Georgios B. Giannakis, Resource Allocation for Wireless Multiuser OFDM Networks, IEEE Transactions on Information Theory, 57(7)(2011) 4359 – 4372.
• [2] Sanam Sadr, Alagan Anpalagan and Kaamran Raahemifar, Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication, IEEE Communications Surveys & Tut-orials, 11(3 )(2009) 92-106.
• [3] Jingjing Zhang, Nirwan Ansari, On Assuring End-to-End QoE in Next Generation Networks: Challenges and a Possible Solution, IEEE Communications Magazine, 49(7)(2011) 185-191.
• [4] P. Reichl, S. Egger, R. Schatz, A. D’Alconzo, The Logarithmic Nature of QoE and the Role of the WEBER-Fechner Law in QoE Assessment, in Proc. of IEEE ICC 2010, pp. 1-5.
• [5] M. Fiedler, T. Hossfeld, and T.-G. Phuoc, A generic quantitative relationship between quality of experience and quality of service, IEEE Network, 24(2)(2010), 36-41.
• [6] S. Khan, S. Duhovnikov, El Steinbach, and W. Kellerer, MOSbased Multi-user Multi-application Cross-layer Optimization, Advances in Multimedia, Hindawi Publishing Corporation, 2007.
• [7] Lili Xie, Chunjing Hu et al., QoE-aware Power Allocation Algorithm in Multiuser OFDM Systems, in Proc. of 2011 7th Mobile Ad-hoc and Sensor Networks Conf., pp. 418-422.
• [8] C. Sacchi, F. Granelli, C. Schlegel, A QoE-Oriented Strategy for OFDMA Radio Resource Allocation Based on Min-MOS Maxi-mization, IEEE Communications Letters, 15(5)(2011) 494-496.
• [9] S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004