Quasi-static resource allocation with interference avoidance for fixed wireless systems

We propose a novel intercell interference management technique, called quasi-static resource allocation with interference avoidance (QRA-IA), for fixed broadband wireless systems with narrow sectors or equipped with fixed or adaptive array antennas. The basic idea of QRA-IA is for every base to periodically turn off each of its beams (sectors) for a certain amount of time. This periodic turn off introduces a predictable nonuniformity in a terminal's performance and therefore permits each terminal to identify a preferred time period for transmission. QRA-IA requires that each terminal sense the interference over time, select the preferred transmission periods, and report these to the base. The resource allocation algorithm at the base can then use this information for scheduling transmissions to the terminals. The base can also use this information for obtaining an appropriate beam-off sequence. A graph theory model is used to show that an acceptable beam-off sequence exists for each base. A simple, distributed, and measurement-based beam-switching algorithm is designed for the system to find these sequences autonomously. We demonstrate via simulations that a system with QRA-IA provides a marked improvement in the packet error rate performance of terminals over the same system without QRA-IA. This improvement translates directly to improved coverage and throughput and also reduces the burden on higher layer protocols to ensure fairness and quality of service.

[1]  D. Luenberger.  Optimization by Vector Space Methods , 1968 .

[2]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[3]  J. A. Bondy,et al.  Graph Theory with Applications , 1978 .

[4]  J. A. Bondy,et al.  Graph Theory with Applications , 1978 .

[5]  J. P. McGeehan,et al.  The performance enhancement of multibeam adaptive base-station antennas for cellular land mobile radio systems , 1990 .

[6]  J. F. Whitehead.  Signal-level-based dynamic power control for co-channel interference management , 1993, IEEE 43rd Vehicular Technology Conference.

[7]  Silvano Pupolin,et al.  Outage probability in personal communication systems in the presence of Rice fading , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[8]  K. Maxwell.  Asymmetric digital subscriber line: interim technology for the next forty years , 1996 .

[9]  K. Maruyama,et al.  Cable access beyond the hype: on residential broadband data services over HFC networks , 1996 .

[10]  Vittorio Trecordi,et al.  Capture-division packet access for wireless personal communications , 1996, IEEE J. Sel. Areas Commun..

[11]  Nabil Kahale,et al.  Dynamic global packet routing in wireless networks , 1997, Proceedings of INFOCOM '97.

[12]  Xiaoxin Qiu,et al.  Resource assignment in a fixed broadband wireless system , 1997, IEEE Communications Letters.

[13]  N. K. Shankaranarayanan,et al.  Radio resource allocation in fixed broadband wireless networks , 1998, IEEE Trans. Commun..

[14]  Intra-cell interference management for fixed broadband wireless systems , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[15]  Sector-based resource allocation for broadband fixed wireless networks , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[16]  Kin K. Leung,et al.  Dynamic Resource Allocation for Broadband Services in Fixed Wireless Networks , 1998 .

[17]  Kin K. Leung,et al.  Dynamic allocation of downlink and uplink resource for broadband services in fixed wireless networks , 1999, IEEE J. Sel. Areas Commun..