Interference-Aware Resource Control in Multi-Antenna Cognitive Ad Hoc Networks with Heterogeneous Delay Constraints

• Published in: IEEE communications letters Vol. 17; no. 6; pp. 1184 - 1187
• Main Authors: XIAOMING CHEN, CHEN, Hsiao-Hwa
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: ad hoc network; Ad hoc networks; Antennas; Applied sciences; Business and industry local networks; Cognitive network; Cognitive radio; Control algorithms; Delays; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; Interference; multi-antenna; Networks and services in france and abroad; Radiocommunications; resource control; Signal and communications theory; Signal, noise; Studies; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Transmission and modulation (techniques and equipments); Transmitters; Performance evaluation; Parameter estimation; Wireless telecommunication; Transmitter; Feedback regulation; multi-antenna; resource control; Algorithm; Beam forming; Simulation; Power control; Channel estimation; Signal processing; Delay time; Cognitive network; Ad hoc network; Antenna
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2013.042313.130481

In this work, we consider a multi-antenna cognitive ad hoc network (CAHNet) with heterogeneous delay requirements. To fulfill the interference and delay constraints simultaneously, we propose to perform adaptive zero-forcing beamforming (ZFBF) at cognitive transmitters according to interference channel state information (CSI). To assist the CAHNet to obtain the interference CSI, we use a win-win inter-network cooperation strategy, namely quantized interference CSI feedback from the primary network to CAHNet through a feedback link, under the condition that the CAHNet pays a proper price for it. Considering the scarcity of feedback and power resources, we focus on the minimization of the overall resource cost subject to both interference and delay constraints. To solve the problem, we derive a joint feedback and power control algorithm amongst multiple links of CAHNet. Finally, simulation results validate the effectiveness of the proposed algorithm.