Future Research Work

In this section, we provide several aspects related with future of the research proposed in this thesis.

First, various video coding structures can be considered for the wireless resource allocations. Typically, only coding efficiency in terms of rate-PSNR property is referenced for resource allocation algorithms including proposed algorithms. However, another important behavior of video coding is video error propagation behavior, where the coding efficiency and the error propagation behavior result from coding structure. Normally, coding structure with higher coding efficiency, i.e., higher video quality for the same bit rate required, results in severer error propagation when each video packet or layer is lost. Hence, if an error resilient coding structure is considered, higher bit rate is required for achieving the same video quality received. However, as less error protection is allowed, more spectrally efficient transmission can be considered. Therefore, resource allocation is better to be decided according to the coding structure, and perhaps, there may be optimal coding structure and resource allocation scheme for maximizing the received video quality.

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Second, larger resource allocation range can be considered. In Chapter 5, subchannel and power allocation for an MBSFN is considered. In addition to the intra-MBSFN resource allocation, efficient resource managements among MBSFNs are needed. For example, inter-MBSFN interference has to be suppressed or a part of subchannels can be shared by multiple neighboring MBSFNs. Multicast service also can be considered in relay systems. In this case, not only resource management for multicasting but OFDMA resource distribution over multiple links has to be accomplished in an efficient way as the proposed resource distribution for multiple BSs in an MBSFN.

Third, resource allocation concerning diverse user devices can be considered. Besides the problem of the heterogeneous channel conditions, another problem exists when multicast services are considered, which is problem of heterogeneous mobile devices. For example, the users with mobile devices with diverse screen sizes or capabilities may request the same data. In this case, we can consider multiple resolution and frame rate capability of the SVC. In order to improve the service quality for such cases, we may consider some modifications to the proposed resource allocation algorithms.

Additionally, in order for proposed algorithms to operate well, practical issues have to be more studied. One of the issues is channel state information (CSI). In this thesis, ideal CSI is assumed for the proposed algorithms.

Unfortunately, the idea CSI cannot be acquired in the real systems, and instead, quantized channel information, e.g., channel quality indicator (CQI) in 3 GPP standards, can be used. Furthermore, due to time varying characteristics of wireless channels, error in CSI can be occurred. Hence, the algorithms need to be modified so that the error in CSI does not affect the performance of the algorithms severely.

Reference

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Reference

[1] T. Wiegand, G. J. Sullivan, G. Bjontegaard and A. Luthra, “Overview of the H.264/AVC video coding standard,” IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 7, pp. 560–576, Jul. 2003.

[2] 3GPP TS 25.346, V6.7.0, Technical specification group radio access network;

introduction of the multimedia broadcast multicast service (MBMS) in the radio access network (Release 6)

[3] H. Schwarz, D. Marpe, and T. Wiegand, “Overview of the scalable video coding extension of H.264/AVC,” IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 9, pp. 1103–1120, Sep. 2007.

[4] 3GPP TS 36.440 V9.1.0, Technical specification group radio access network;

evolved universal terrestrial radio access network (E-UTRAN); General aspects and principles for interfaces supporting multimedia broadcast multicast service (MBMS) within E-UTRAN (Release 9)

[5] Amonou, N. Cammas, S. Kervadec and S. Pateux, “Optimized rate-distortion extraction with quality layers in the scalable extension of H.264/AVC,” IEEE Trans. Circuits Syst. Video Tech. vol 17, no. 9, pp. 1186-1193, Sept. 2007.

[6] JSVM, “JSVM Software Manual,” ver. JSVM 9.19 (CVS tag: JSVM_9_19), Nov. 2009.

[7] I. F. Akyildiz and X. Wang, “A survey on wireless mesh networks,” IEEE Comm. Magazine, vol. 43, no. 9, pp. 23-30, Sept. 2005.

[8] Y. Zhang, Y. Zhang, S. Sun, S. Qin and Z. He, “Multihop packet delay bound violation modeling for resource allocation in video streaming over mesh networks,” IEEE Trans. Multimedia, vol. 12, no. 8, pp. 886-900, Dec.

2010.

[9] X. Tong, Y. Andreopoulos and M. Schaar, “Distortion-driven video streaming over multihop wireless networks with path diversity,” IEEE Trans.

Mobile Computing, Vol.6, no. 12, pp. 1343-1356, Dec. 2007.

[10] Y. Andreopoulos, N. Mastronarde, M. Schaar, “Cross-layer optimized video streaming over wireless multihop mesh networks,” IEEE Trans. Selected Areas in Comm., vol. 24, no. 11, pp. 2104-2115, Nov. 2006.

110

[11] H. Shiang and M. Schaar, “Informationally decentralized video streaming over multihop wireless networks,” IEEE Trans. Multimedia, vol. 9, no. 6, 1299-1313, Oct. 2007.

[12] M. Lu, P. Steenkiste and T. Chen, “Video transmission over wireless multihop networks using opportunistic routing,” Packet Video, pp. 52-61, 2007.

[13] K. Kerpez, D. Waring and D. Bushmitch, “End-to-end video degradation in multihop networks,” Consumer Comm. Net. Conf., pp. 756-760, 2011.

[14] H. Luo, A. Argyriou, D. Wu and C. Song, “Joint source coding and network-supported distributed error control for video streaming in wireless multihop networks,” IEEE Trans. Multimedia, vol. 11, no. 7, pp. 1362-1372, Nov.

2009.

[15] D. Wu, S. Ci, H. Wang and A.K. Katsaggelos, “Application-centric routing for video streaming over multihop wireless networks,” IEEE Trans. Cir. and Sys. for Video Tech. Vol. 20, no.12, pp.1721-1734, Dec. 2010.

[16] A. E. Gamal and T. Cover, “achievable rates for multiple descriptions,” IEEE Trans. Inform. Theory, vol. 28, no. 6, pp. 851-857, Nov. 1982.

[17] Y. Hsia, C. Chang and J. Liao, "Multiple-description coding for robust image watermarking," Int. Conf. Image. Proc., 2004.

[18] A. E. Gamal and T. Cover, “achievable rates for multiple descriptions,” IEEE Trans. Inform. Theory, vol. 28, no. 6, pp. 851-857, Nov. 1982.

[19] N. Gogate, D. Chung, S.S. Panwar and Y. Wang, “Supporting image and video applications in a multihop radio environment using path diversity and multiple description coding,” IEEE Trans. Circ. and Syst. for Video Tech.

vol. 12, no. 9, pp. 777-792, Sept. 2002.

[20] L. Zhou, X. Wang, Y. Li, B. Zheng and B. Geller, “Optimal scheduling for multiple description video streams in wireless multihop networks,” IEEE Trans. Comm. Letters, vol. 13, no. 7, pp. 534-536, July 2009.

[21] Y.P. Fallah, H. Mansour, S. Khan, P. Nasiopoulos and H.M. Alnuweiri, “A link adaptation scheme for efficient transmission of H.264 scalable video over multirate WLANs,” IEEE Trans. Circ. Syst. Video Tech. vol. 13, no. 7, pp. 534-536, July 2008.

Reference

111

[22] H. Mansour, Y.P. Fallah, P. Nasiopoulos and V. Krishnamurthy, “Dynamic resource allocation for MGS H.264/AVC video transmission over link-adaptive networks,” IEEE Trans. Multimedia, vol. 11, no. 8, pp. 1478-1491, Dec. 2009.

[23] E. Biglieri, J. Proakis, and S. Shamai, “Fading channels: information-theoretic and communications aspects,” IEEE Trans. Inform. Theory, vol. 44, no. 6, pp. 2619-2692, Oct. 1998.

[24] T. S. Rappaport, “Wireless communications,” Prentice Hall PTR, 2002.

[25] P. Chow, J. Cioffi, and J. Bingham, “A practical discrete multitone transceiver loading algorithms for data transmission over spectrally shaped channels,” IEEE Trans. Comm., vol. 43, no. 234, pp. 773-775, Feb. 1995.

[26] R. Fischer and J. Huber, “A new loading algorithm for discrete multitone transmission,” Global Comm. Conf., vol. 1, pp. 724-728, Nov. 1996.

[27] J. Jang and K. B. Lee, “Transmit power adaptation for multiuser OFDM systems,” IEEE J. Select. Areas Comm., vol. 21, no.2, pp. 171-178, Feb.

2003.

[28] T. M. Cover and J. A. Thomas, “Elements of information theory,” New York:

Wiley, 1991.

[29] Y. Otani, S. Ohno, K. ann Donny Teo, and T. Hinamoto, “Subcarrier allocation for multi-user OFDM system,” Asia-Pasific Conf. on Comm., pp.

1073-1077, 2005.

[30] H.B. Zhang and X.X. Wang, “Resource allocation for downlink OFDM system using noisy chaotic neural network,” Electronics Letters, vol. 47, no.

21, pp. 1201-1202, Oct. 2011.

[31] W. Rhee and J. M. Cioffi, “Increase in capacity of multiuser OFDM system using dynamic subchannel allocation,” Vehic. Tech. Conf, vol. 2, pp. 1085-1089, May 2000.

[32] Z. Shen, J. G. Andrews, and B. L. Evans, “Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints,” IEEE Trans.

Wireless Comm., vol. 4, no. 6, pp. 2726-2737, Nov. 2005.

112

[33] I. C. Wong, Z. Shen, B. L. Evans, and J. G. Andrews, “A low complexity algorithm for proportional resource allocation in OFDMA systems,” IEEE Workshop on Signal Proc. Syst., pp. 1-6, Oct. 2004.

[34] C. Mohanram and S. Bhashyam, “A sub-optimal joint subcarrier and power allocation algorithm for multiuser OFDM,” IEEE Comm. Letter, vol. 9, no. 8, pp. 685-687, Aug. 2005.

[35] H. Yin and H. Liu, “An efficient multiuser loading algorithm for OFDM based broadband wireless systems,” in Proc. IEEE Global Comm. Conf., vol.

1, pp. 103-107, Nov. 2000.

[36] Y. Li, N. Lu, M. Peng and W. Wang, “Multiuser resource allocation for OFDM downlink with terminal bandwidth limitation,” Wireless Comm. Net.

Conf., pp. 1-5, 2010.

[37] C. Liu, A. Schmeink and R. Mathar, “A linear-complexity resource allocation method for heterogeneous multiuser OFDM downlink,” Personal Indoor and Mobile Radio Comm. pp. 2591-2596, 2009.

[38] G. J. Foschini and J. Salz, “Digital communications over fading radio channels,” Bell Syst. Tech. J., pp. 429-456, Feb. 1983.

[39] C. Y. Wong, R. S. Cheng, K. B. Letaief, and R. D. Murch, “Multiuser OFDM with adaptive subcarrier, bit and power allocation,” IEEE J. Select.

Areas Comm., vol. 17, no. 10, pp. 1747-1758, Oct. 1999.

[40] G. Zhang, “Subcarrier and bit allocation for real-time services in multiuser OFDM systems,” in Proc. Int. Comm. Conf., vol. 5, pp. 2985-2989, Jun.

2004.

[41] L. Xiaowen and Z. Jinkang, “An adaptive subcarrier allocation algorithm for multiuser OFDM system,” Vehic. Tech. Conf, vol. 3, pp. 1502-1506, Oct.

2003.

[42] C. Y. Wong, C. Y. Tsui, R. S. Cheng, and K. B. Letaief, “A realtime subcarrier allocation scheme fore multiple access downlink OFDM transmission,” Vehic. Tech. Conf, vol. 2, pp. 1124-1128, Sept. 1999.

[43] B. Qing and A. Josef, “An energy efficient downlink resource allocation strategy for multiuser CP-OFDM and FBMC systems,” Int. Symposium on WiOpt, pp. 481-487, 2010.

Reference

113

[44] G. Song and Y. G. Li, “Utility-based joint physical-MAC layer optimization in OFDM,” in Proc. IEEE Globecom, vol. 1, pp. 671-675, Nov. 2002.

[45] G. Song and Y. G. Li, “Adaptive subcarrier and power allocation in OFDM based on maximizing utility,” Vehic. Tech. Conf, vol. 2, pp. 905-909, April 2003.

[46] G. Song and Y. G. Li, “Cross-layer optimization for OFDM wireless networks-Part I: theoretical framework,” IEEE Trans. Wireless Comm., vol.

4, no. 2, pp. 614-624, Mar. 2005.

[47] G. Song and Y. G. Li, “Cross-layer optimization for OFDM wireless networks-Part II: algorithm development,” IEEE Trans. Wireless Comm., vol.

4, no.2, pp. 625-634, Mar. 2005.

[48] F. P. Kelly, “Charging and rate control for elastic traffic,” European Trans.

on Telecomm., vol. 8, pp. 33-37, 1997.

[49] X. Ji, J. Huang, M. Chiang and F. Catthoor, “Downlink OFDM scheduling and resource allocation for delay constraint SVC streaming,” Int. Conf.

Comm. pp. 2512-2518, 2008.

[50] X. Ji, J. Huang, M. Chiang, G. Lafruit and F. Catthoor, “Scheduling and resource allocation for SVC streaming over OFDM downlink systems,”

IEEE Trans. Circuits and Systems for Video Tech. vol. 19, no. 10, pp. 1549-1555, Oct. 2009.

[51] G. Su, Z. Han and M. Wu, “A scalable multiuser framework for video over OFDM networks: fairness and efficiency,” IEEE Trans. Cir. Syst. Video Tech. vol. 16, no. 10, pp. 1217-1231, Oct. 2006.

[52] H. Ha, C. Yim and Y. Kim, “Cross-layer multiuser resource allocation for video communication over OFDM networks,” EURASIP J. on Comp. Comm.

vol. 31, no. 15 pp. 3553-3563, Sept. 2008.

[53] D. Gomez-Barquero, A. Fernandez-Aguilella and N. Cardona, “Multicast delivery of file download services in evolved 3G mobile networks with HSDPA and MBMS,” IEEE Trans. on Broadcasting, vol. 55, no. 4, pp. 742-751, Dec. 2009.

114

[54] A. Alexiou, C. Bouras and E. Rekkas, “Optimizing MBMS power allocation through HSDPA transmissions,” Int. Conf. Telecomm. pp. 327-332, May 2009.

[55] V. Vartiainen and J. Kurjenniemi, “Point-to-multipoint multimedia broadcast multicast service (MBMS) Performance over HSDPA,” Personal Indoor Mobile Radio Comm., 2007.

[56] A. Raschella, A. Umbert, G. Araniti, A. Iera and A. Molinaro, “SINR-based transport channel selection for MBMS applications,” Vehic. Tech. Conf, 2009.

[57] A. Chaudhry and J.Y. Khan, “A group based point-to-multipoint MBMS algorithm over the HSDPA network,” Personal Indoor Mobile. Radio Comm., 2008.

[58] A. Alexiou, C. Bouras and V. Kokkinos, “Power saving methods for MBMS transmissions in UTRAN,” IEEE Symp. Comp. Comm., pp. 374-379, 2008.

[59] K. Aho, T. Ristaniemi, J. Kurjenniemi and V. Haikola, “Performance enhancement of multimedia broadcast multicast service (MBMS) with receive diversity,” Int. Conf. Net., pp. 86, 2007.

[60] S. Lu, Y. Cai, L. Zhang, J. Li, P. Skov, C. Wang and Z. He, “Channel-aware frequency domain packet scheduling for MBMS in LTE,” Vehic. Tech. Conf, 2009.

[61] W. Xu, K. Niu, J. Lin and Z. He, “Resource allocation in multicast OFDM systems: lower/upper bounds and suboptimal algorithm,” IEEE Trans. Comm.

Letters, vol. 15, no. 7, pp. 722-724, July 2011.

[62] K. Seoshin, S. Hanbyeol and L. Byeong-Gi, “Suitability-based subcarrier allocation for multicast services employing layered video coding in wireless OFDM systems,” Vehic. Tech. Conf., 2007.

[63] D. Hui, T. Xiaoming, and L. Jianhua, “QoS-aware resource allocation for mixed multicast and unicast traffic in OFDMA networks,” Vehic. Tech.

Conf., 2011.

[64] J.F. Monserrat, J. Calabuig, A. Fernandez-Aguilella and D. Gomez-Barquero,

“Joint Delivery of Unicast and E-MBMS Services in LTE Networks,” IEEE Trans. Broadcasting. vol. 58, no. 2, pp. 157-167, Jun. 2012.

Reference

115

[65] V. Kamble, S. Kalyanasundaram,V. Ramachandran and R.Agrawal,

“Efficient resource allocation strategies for multicast/broadcast services in 3GPP long term evolution single frequency networks,” Wireless Comm. Net.

Conf. 2007.

[66] M.F. Azman, N. F. Tuban, K. A. Noordin and M.F. Ismail, “Genetic algorithm approach for solving radio resource allocation for overlapping MBSFN area,” Int. Conf. Inov. Mang. 2011.

[67] A. Jiang, C.Feng, and T. Zhang, “Research on resource allocation in multi-cell MBMS single frequency networks,” Wireless Optical Comm. Net., 2010.

[68] B. Luo, Q. Cui, H. Wang and X. Tao, “Optimal joint water-filling for coordinated transmission over frequency-selective fading channels,” IEEE Trans. Comm. Letters, vol. 15, no.2, pp. 190-192, Feb. 2011.

[69] H. Kwon and B. G. Lee, “Cooperative power allocation for broadcast/multicast services in cellular OFDM systems," IEEE Trans.

Comm., vol. 57, no. 10, pp. 3092-3102, Oct. 2009.

[70] S. T. Chung and A.J. Goldsmith, “Degrees of freedom in adaptive modulation: a unified view,” IEEE Trans. on Comm. vol. 49, no. 9, pp. 1561-1571, Sept. 2002.

[71] P. Mogensen, N. Wei, I. Z. Kovacs, F. Frederiksen, A. Pokhariyal, K. I.

Pedersen, T. Kolding, K. Hugl and M. Kuusela , “LTE Capacity compared to the shannon bound,” vehic. Tech. Conf., 2007.

116

List of Publications Directly Related to the Dissertation

1. Daeyeon Kim, Takeo Fujii, Kyesan Lee, “Modulation level allocation for MGS streaming over a multihop wireless channel,” EURASIP Journal on Wireless Communications and Networking, Mar. 2012.

(Related to Chapter 3)

2. Daeyeon Kim, Takeo Fujii, Kyesan Lee, “A Resource Allocation Algorithm for OFDM-based Cellular System to Serve Unicast and Multicast Services,” EURASIP Journal on Wireless Communications and Networking, Feb. 2013. (Accepted, Related to Chapter 4)