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Joint optimization in multi-user MIMO-OFDMA relay-enhanced cellular networks
KTH, School of Electrical Engineering (EES), Communication Networks.
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2011 (English)In: 2011 IEEE Wireless Communications and Networking Conferenc, 2011, 13-18 p.Conference paper, Published paper (Refereed)
Abstract [en]

MIMO, OFDMA and cooperative relaying are the key technologies in future wireless communication systems. However, under the usage of these technologies, resource allocation becomes a more crucial and challenging task. In multi-user MIMO-OFDMA relay-enhanced cellular networks, we formulate the optimal instantaneous resource allocation problem including user group selection, path selection, power allocation, and subchannel scheduling to maximize system capacity. We first propose a low-complex resource allocation algorithm named CP-CP under constant uniform power allocation and then use a water-filling method named CP-AP to allocate power among transmitting antennas. Moreover, we solve the original optimization problem efficiently by using the Jensen's inequality and propose a modified iterative water-filling algorithm named AP-CP. Based on AP-CP, the AP-AP algorithm is proposed to allocate power adaptively not only among subchannels but also among multiple transmitting. Finally, we compare the performance of the four schemes. Our results show that allocating power among subchannels is more effective than among transmitting antennas if the average signal-to-noise radio of users is low, and vice versa. Furthermore, the AP-AP algorithm achieves the highest throughout especially for users near the cell edge.

Place, publisher, year, edition, pages
2011. 13-18 p.
Series
2011 IEEE Wireless Communications and Networking Conference, WCNC 2011
Keyword [en]
Cell edges, Cellular network, Cooperative relaying, Iterative water-filling algorithm, Jensen's inequality, Joint optimization, Key technologies, MIMO-OFDMA, Multi-user, Optimization problems, Path selection, Power allocations, Relay-enhanced, Resource allocation algorithms, Resource allocation problem, Signal to noise, Subchannels, System Capacity, Transmitting antenna, Uniform power allocations, User groups, Waterfilling, Wireless communication system, Algorithms, Antennas, Beamforming, Cellular neural networks, Communication systems, Global system for mobile communications, MIMO systems, Optimization, Resource allocation, Wireless networks, Wireless telecommunication systems, Frequency division multiple access
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-151201DOI: 10.1109/WCNC.2011.5779131Scopus ID: 2-s2.0-79959299869ISBN: 9781612842547 (print)OAI: oai:DiVA.org:kth-151201DiVA: diva2:748460
Conference
2011 IEEE Wireless Communications and Networking Conference, WCNC 2011, 28 March 2011 through 31 March 2011, Cancun
Note

QC 20140919

Available from: 2014-09-19 Created: 2014-09-15 Last updated: 2014-09-19Bibliographically approved

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