Transmitter optimization in multiuser wireless systems with Quality of Service constraints

TRANSMITTER OPTIMIZATION IN MULTIUSER WIRELESS SYSTEMS WITH QUALITY OF SERVICE CONSTRAINTS Danda B. Rawat Old Dominion University, 2010 Director: Dr. Dimitrie C. Popescu In this dissertation, transmitter adaptation for optimal resource allocation in wireless communication systems are investigated. First, a multiple access channel model is considered where many transmitters communicate with a single receiver. This scenario is a basic component of a wireless network in which multiple users simultaneously access the resources of a wireless service provider. Adaptive algorithms for transmitter optimization to meet Quality-of-Service (QoS) requirements in a distributed manner are studied. Second, an interference channel model is considered where multiple interfering transmitter-receiver pairs co-exist such that a given transmitter communicates with its intended receiver in the presence of interference from other transmitters. This scenario models a wireless network in which several wireless service providers share the spectrum to offer their services by using dynamic spectrum access and cognitive radio (CR) technologies. The primary objective of dynamic spectrum access in the CR approach is to enable use of the frequency band dynamically and opportunistically without creating harmful interference to licensed incumbent users. Specifically, CR users are envisioned to be able to provide high bandwidth and efficient utilization of the spectrum via dynamic spectrum access in heterogeneous networks. In this scenario, a distributed method is investigated for combined precoder and power adaptation of CR transmitters for dynamic spectrum sharing in cognitive radio systems. Finally, the effect of limited feedback for transmitter optimization is analyzed where precoder adaptation uses the quantized version of interference information or the predictive vector quantization for incremental updates. The performance of the transmitter adaptation algorithms is also studied in the context of fading channels.

[1]  John M. Cioffi,et al.  Rate and power control in a two-user multicarrier channel with no coordination: the optimal scheme versus a suboptimal method , 2003, IEEE Trans. Commun..

[2]  Iain B. Collings,et al.  Asymptotic analysis of LMMSE multiuser receivers for multi-signature multicarrier CDMA in Rayleigh fading , 2004, IEEE Transactions on Communications.

[3]  Roy D. Yates,et al.  Iterative construction of optimum signature sequence sets in synchronous CDMA systems , 2001, IEEE Trans. Inf. Theory.

[4]  Danijela Cabric,et al.  Physical layer design issues unique to cognitive radio systems , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[5]  D.C. Popescu,et al.  Adaptive Interference Avoidance for Dynamic Wireless Systems: A Game Theoretic Approach , 2007, IEEE Journal of Selected Topics in Signal Processing.

[6]  Joseph B. Evans,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS , 2007 .

[7]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[8]  Aydano B. Carleial,et al.  Interference channels , 1978, IEEE Trans. Inf. Theory.

[9]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[10]  Sergio Barbarossa,et al.  Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory—Part II: Algorithms , 2007, IEEE Transactions on Signal Processing.

[11]  Christopher Rose.  CDMA Codeword optimization: Interference avoidance and convergence via class warfare , 2001, IEEE Trans. Inf. Theory.

[12]  Mahesh K. Varanasi,et al.  Signal design for bandwidth-efficient multiple-access communications based on Eigenvalue optimization , 2000, IEEE Trans. Inf. Theory.

[13]  Octavia A. Dobre,et al.  User admissibility in uplink wireless systems with multipath and target SINR requirements , 2010, IEEE Communications Letters.

[14]  Danda B. Rawat,et al.  Joint Codeword and Power Adaptation for CDMA Systems with Multipath and QoS Requirements , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[15]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[16]  Upamanyu Madhow,et al.  MMSE interference suppression for direct-sequence spread-spectrum CDMA , 1994, IEEE Trans. Commun..

[17]  Jeffrey H. Reed,et al.  Handoff in cellular systems , 1998, IEEE Wirel. Commun..

[18]  S. T. Chung,et al.  A game-theoretic approach to power allocation in frequency-selective gaussian interference channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[19]  Kin K. Leung,et al.  On the stability of distributed sequence adaptation for cellular asynchronous DS-CDMA systems , 2003, IEEE Trans. Inf. Theory.

[20]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[21]  James L. Massey,et al.  Capacity of the discrete-time Gaussian channel with intersymbol interference , 1988, IEEE Trans. Inf. Theory.

[22]  Narayan B. Mandayam,et al.  ADAPTIVE, SPECTRUM AGILE, AND COGNITIVE WIRELESS NETWORKS , 2007 .

[23]  Christopher Rose,et al.  Codeword Optimization for Uplink CDMA , 2005 .

[24]  R. Michael Buehrer.  Code Division Multiple Access (CDMA) , 2006, Code Division Multiple Access.

[25]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..

[26]  Don Torrieri,et al.  Principles of Spread-Spectrum Communication Systems , 2004 .

[27]  A.A. Abidi,et al.  The Path to the Software-Defined Radio Receiver , 2007, IEEE Journal of Solid-State Circuits.

[28]  Geert Leus,et al.  Joint dynamic resource allocation and waveform adaptation in cognitive radio networks , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[29]  Christopher Rose,et al.  Distributed incremental interference avoidance , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[30]  J. Nash.  Equilibrium Points in N-Person Games. , 1950, Proceedings of the National Academy of Sciences of the United States of America.

[31]  S. Haykin,et al.  Modern Wireless Communications , 1939, Nature.

[32]  H. Vincent Poor,et al.  Joint Receiver and Transmitter Optimization for Energy-Efficient CDMA Communications , 2007, IEEE Journal on Selected Areas in Communications.

[33]  V. John Mathews.  Vector quantization of images using the L/sub /spl infin// distortion measure , 1995, Proceedings., International Conference on Image Processing.

[34]  G. P. Pollini,et al.  Trends in handover design , 1996, IEEE Commun. Mag..

[35]  Pramod Viswanath,et al.  Optimal sequences, power control and capacity of spread spectrum systems with multiuser linear recei , 1968 .

[36]  G. Staple,et al.  The end of spectrum scarcity [spectrum allocation and utilization] , 2004, IEEE Spectrum.

[37]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[38]  James L. Massey,et al.  Optimum sequence multisets for synchronous code-division multiple-access channels , 1994, IEEE Trans. Inf. Theory.

[39]  J. Magnus,et al.  Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .

[40]  Christopher Rose,et al.  Interference Avoidance Methods for Wireless Systems , 2004 .

[41]  Max H. M. Costa,et al.  On the Gaussian interference channel , 1985, IEEE Trans. Inf. Theory.

[42]  Georgios B. Giannakis,et al.  Optimal resource allocation for MIMO ad hoc cognitive radio networks , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[43]  V. John Mathews,et al.  Distortion-limited vector quantization , 1996, Proceedings of Data Compression Conference - DCC '96.

[44]  D.C. Popescu,et al.  Gradient Descent Interference Avoidance for Uplink CDMA Systems with Multipath , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[45]  D.C. Popescu,et al.  Interference Avoidance With Limited Feedback , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[46]  Michael J. Marcus,et al.  Unlicensed cognitive sharing of TV spectrum: the controversy at the Federal Communications Commission , 2005, IEEE Communications Magazine.

[47]  Bernard Fino,et al.  Multiuser detection: , 1999, Ann. des Télécommunications.

[48]  Zhu Han,et al.  Replacement of spectrum sensing in cognitive radio , 2009, IEEE Transactions on Wireless Communications.

[49]  Mahesh K. Varanasi,et al.  Bandwidth-efficient multiple access (BEMA): a new strategy based on signal design under quality-of-service constraints for successive-decoding-type multiuser receivers , 2001, IEEE Trans. Commun..

[50]  Jens Zander,et al.  Gradual removals in cellular PCS with constrained power control and noise , 1995, Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications.

[51]  Ha H. Nguyen.  Optimization of Signature Waveforms and Power Allocation for Synchronous CDMA Systems under RMS Bandwidth Constraint , 2003 .

[52]  Syed Ali Jafar,et al.  Interference Alignment and Spatial Degrees of Freedom for the K User Interference Channel , 2007, 2008 IEEE International Conference on Communications.

[53]  Danda B. Rawat,et al.  Joint precoder and power adaptation for cognitive radios in interference systems , 2009, 2009 IEEE 28th International Performance Computing and Communications Conference.

[54]  Roy D. Yates,et al.  Wireless systems and interference avoidance , 2002, IEEE Trans. Wirel. Commun..

[55]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[56]  T. Charles Clancy,et al.  Formalizing the interference temperature model , 2007 .

[57]  Michael L. Honig,et al.  Signature sequence adaptation for DS-CDMA with multipath , 2002, IEEE J. Sel. Areas Commun..

[58]  Venkat Anantharam,et al.  Ensuring convergence of the MMSE iteration for interference avoidance to the global optimum , 2003, IEEE Trans. Inf. Theory.

[59]  Otilia Popescu,et al.  Game-Theoretic Approach to Joint Transmitter Adaptation and Power Control in Wireless Systems , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[60]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[61]  Iain B. Collings,et al.  Asymptotic spectral efficiency of multiuser multisignature CDMA in frequency-selective channels , 2006, IEEE Transactions on Information Theory.

[62]  Mischa Schwartz,et al.  Distributed call admission control in mobile/wireless networks , 1996, IEEE J. Sel. Areas Commun..

[63]  Yonghong Zeng,et al.  Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances , 2008, IEEE Transactions on Vehicular Technology.

[64]  Michael L. Honig,et al.  Spreading code adaptation for DS-CDMA with multipath , 2000, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155).

[65]  Otilia Popescu,et al.  Greedy SINR Maximization in Collaborative Multibase Wireless Systems , 2004, EURASIP J. Wirel. Commun. Netw..

[66]  Kenneth W. Shum,et al.  Stability of distributed power and signature sequence control for CDMA Systems-a game-theoretic framework , 2006, IEEE Transactions on Information Theory.

[67]  Sergio Barbarossa,et al.  Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria , 2007, IEEE Transactions on Signal Processing.

[68]  S. Ulukus,et al.  Optimization of CDMA signature sequences in multipath channels , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[69]  Matthew R. McKay,et al.  Topics in wireless communications , 2001, IEEE Communications Magazine.

[70]  D.C. Popescu,et al.  Gradient Descent Interference Avoidance with Target SIR Matching , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.

[71]  Michael L. Honig,et al.  Signature optimization for CDMA with limited feedback , 2005, IEEE Transactions on Information Theory.

[72]  Tommy Guess.  Optimal sequences for CDMA with decision-feedback receivers , 2003, IEEE Trans. Inf. Theory.

[73]  Nevio Benvenuto,et al.  Predictive Channel Quantization and Beamformer Design for MIMO-BC with Limited Feedback , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[74]  Wei Yu,et al.  Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.

[75]  Venkat Anantharam,et al.  Optimal sequences for CDMA under colored noise: A Schur-saddle function property , 2002, IEEE Trans. Inf. Theory.

[76]  David Akopian,et al.  Reduced Complexity Algorithm for Spreading Sequence Design , 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

[77]  Dusit Niyato,et al.  A Noncooperative Game-Theoretic Framework for Radio Resource Management in 4G Heterogeneous Wireless Access Networks , 2008, IEEE Transactions on Mobile Computing.

[78]  Otilia Popescu,et al.  Interference Avoidance and Multiaccess Vector Channels , 2007, IEEE Transactions on Communications.