QoS-driven adaptive resource allocation for mobile wireless communications and networks

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dc.contributor.advisor Zhang , Xi en_US
dc.contributor.committeeMember Chen , Jianer en_US
dc.creator Tang , Jia en_US
dc.date.accessioned 2010 -01 -14T23 :57 :59Z
dc.date.accessioned 2014 -02 -19T19 :37 :08Z
dc.date.available 2010 -01 -14T23 :57 :59Z
dc.date.available 2014 -02 -19T19 :37 :08Z
dc.date.created 2006 -12 en_US
dc.date.issued 2009 -05 -15 en_US
dc.identifier.uri http : / /hdl .handle .net /1969 .1 /ETD -TAMU -1050
dc.description.abstract Quality -of -service (QoS ) guarantees will play a critically important role in future mobile wireless networks . In this dissertation , we study a set of QoS -driven resource allocation problems for mobile wireless communications and networks . In the first part of this dissertation , we investigate resource allocation schemes for statistical QoS provisioning . The schemes aim at maximizing the system /network throughput subject to a given queuing delay constraint . To achieve this goal , we integrate the information theory with the concept of effective capacity and develop a unified framework for resource allocation . Applying the above framework , we con -sider a number of system infrastructures , including single channel , parallel channel , cellular , and cooperative relay systems and networks , respectively . In addition , we also investigate the impact of imperfect channel -state information (CSI ) on QoS pro -visioning . The resource allocation problems can be solved e ?ciently by the convex optimization approach , where closed -form allocation policies are obtained for different application scenarios . Our analyses reveal an important fact that there exists a fundamental tradeoff between throughput and QoS provisioning . In particular , when the delay constraint becomes loose , the optimal resource allocation policy converges to the water -filling scheme , where ergodic capacity can be achieved . On the other hand , when the QoS constraint gets stringent , the optimal policy converges to the channel inversion scheme under which the system operates at a constant rate and the zero -outage capacity can be achieved . In the second part of this dissertation , we study adaptive antenna selection for multiple -input -multiple -output (MIMO ) communication systems . System resources such as subcarriers , antennas and power are allocated dynamically to minimize the symbol -error rate (SER ) , which is the key QoS metric at the physical layer . We propose a selection diversity scheme for MIMO multicarrier direct -sequence code - division -multiple -access (MC DS -CDMA ) systems and analyze the error performance of the system when considering CSI feedback delay and feedback errors . Moreover , we propose a joint antenna selection and power allocation scheme for space -time block code (STBC ) systems . The error performance is derived when taking the CSI feedback delay into account . Our numerical results show that when feedback delay comes into play , a tradeoff between performance and robustness can be achieved by dynamically allocating power across transmit antennas . en_US
dc.format.medium electronic en_US
dc.format.mimetype application /pdf en_US
dc.language.iso en _US en_US
dc.subject quality -of -service en_US
dc.title QoS -driven adaptive resource allocation for mobile wireless communications and networks en_US
dc.type Book en
dc.type.genre Electronic Dissertation en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US


QoS-driven adaptive resource allocation for mobile wireless communications and networks. Available electronically from http : / /hdl .handle .net /1969 .1 /ETD -TAMU -1050 .

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