Resource management for advanced transmission antenna satellites

In satellite communications, narrow spotbeams can provide high power and data rates to the desired location while reducing spatial interference. Advanced transmission antenna technology is critical to generate and switch narrow beams rapidly among a large number of users under quality of service (QoS) constraints such as average delay. In this paper, we jointly optimize resource allocation and congestion control, and compare the performances of two types of satellite transmit antennas: a multiple beam antenna and a phased array antenna. For a multiple beam antenna with traveling wave tube amplifiers (TWTA), throughput is decided by either the most demanding user or the average of all user parameters. For a phased array antenna, joint antenna gain patterning and beam scheduling is given as a function of channel conditions, interference (depending on users' geographical distribution), and average delay requirements. We then develop a low-complexity on-line algorithm of choosing either interference suppression or sequential service for the active users who are closely located within the width of a spotbeam. Due to flexible power allocation, the phased array antenna can provide better performance than the multiple beam antenna when a small number of users are very demanding or many users are densely crowded in a small area.

[1]  Giovanni E. Corazza,et al.  A statistical model for land mobile satellite channels and its application to nongeostationary orbit systems , 1994 .

[2]  Chun Loo,et al.  Land mobile satellite channel measurements and modeling , 1998 .

[3]  Ian F. Akyildiz,et al.  TCP-Peach: a new congestion control scheme for satellite IP networks , 2001, TNET.

[4]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[5]  J. Goodman.  Introduction to Fourier optics , 1969 .

[6]  Vincent W. S. Chan,et al.  Optimum power and beam allocation based on traffic demands and channel conditions over satellite downlinks , 2005, IEEE Transactions on Wireless Communications.

[7]  Jean-Yves Le Boudec,et al.  Rate adaptation, Congestion Control and Fairness: A Tutorial , 2000 .

[8]  Andrea Conti,et al.  An analytical framework for CDMA systems with a nonlinear amplifier and AWGN , 2002, IEEE Trans. Commun..

[9]  Dimitri P. Bertsekas,et al.  Data networks (2nd ed.) , 1992 .

[10]  Moe Z. Win,et al.  Slow Adaptive $M$ -QAM With Diversity in Fast Fading and Shadowing , 2007, IEEE Transactions on Communications.

[11]  Jihwan P. Choi,et al.  Channel prediction and adaptation over satellite channels with weather-induced impairments , 2000 .

[12]  Randy H. Katz,et al.  Transport protocols for Internet-compatible satellite networks , 1999, IEEE J. Sel. Areas Commun..

[13]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[14]  Moe Z. Win,et al.  On the inverse symbol-error probability for diversity reception , 2003, IEEE Trans. Commun..

[15]  Pekka Eskelinen,et al.  Satellite Systems for Personal and Broadband Communications , 2001 .

[16]  King-Tim Ko,et al.  A Space-Division Multiple-Access Protocol for Spot-Beam Antenna and Satellite-Switched Communication Network , 1983, IEEE Journal on Selected Areas in Communications.

[17]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[18]  Jihwan P. Choi.  Resource allocation and scheduling for communication satellites with advanced transmission antennas , 2006 .

[19]  Moe Z. Win,et al.  Antenna subset diversity with non-ideal channel estimation , 2008, IEEE Transactions on Wireless Communications.

[20]  Henry Jasik,et al.  Antenna engineering handbook , 1961 .

[21]  Vincent W. S. Chan,et al.  Predicting and adapting satellite channels with weather-induced impairments , 2002 .

[22]  Jim Kurose,et al.  Computer Networking: A Top-Down Approach (6th Edition) , 2007 .

[23]  Mark Handley,et al.  Congestion control for high bandwidth-delay product networks , 2002, SIGCOMM.

[24]  Makoto Kawai,et al.  An Adaptive Multiple Beam System Concept , 1987, IEEE J. Sel. Areas Commun..

[25]  A. Silva,et al.  A Ka-Band Wideband-Gap Solid-State Power Amplifier: Architecture Identification , 2005 .

[26]  Shunichiro Egami,et al.  A power-sharing multiple-beam mobile satellite in Ka band , 1999, IEEE J. Sel. Areas Commun..

[27]  Dimitri P. Bertsekas,et al.  Data Networks , 1986 .

[28]  Choi Look Law,et al.  Ka-band land mobile satellite channel model incorporating weather effects , 2001, IEEE Communications Letters.

[29]  U. Mishra,et al.  AlGaN/GaN HEMTs-an overview of device operation and applications , 2002, Proc. IEEE.

[30]  Riccardo De Gaudenzi,et al.  On antenna design and capacity analysis for the forward link of a multibeam power controlled satellite CDMA network , 2000, IEEE Journal on Selected Areas in Communications.

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