Capacity and power allocation for spectrum-sharing communications in fading channels
IEEE Transactions on Wireless Communications
Effective capacity: a wireless link model for support of quality of service
IEEE Transactions on Wireless Communications
Quality-of-Service Driven Power and Rate Adaptation over Wireless Links
IEEE Transactions on Wireless Communications
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency
IEEE Communications Magazine
Approaches to spectrum sharing
IEEE Communications Magazine
Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks
IEEE Journal on Selected Areas in Communications
Delay QoS provisioning in cognitive radio systems using adaptive modulation
Proceedings of the 6th ACM workshop on QoS and security for wireless and mobile networks
Cross-layer design in dynamic spectrum sharing systems
EURASIP Journal on Wireless Communications and Networking - Special issue on adaptive cross-layer strategies for fourth generation wireless communications
Hi-index | 0.00 |
In this paper, we consider variable-rate variable-power MQAM modulation employed under delay quality-of-service (QoS) constraints over spectrum-sharing channels. In particular, we assume two users sharing the spectrum with one of them having a primary access to the band, and the other, known as secondary user, constrained by interference limitations imposed by the former. We study the performance of the secondary user's link employing adaptive MQAM modulation scheme when, on top of the above-mentioned interference constraint, the secondary user is also required to satisfy a statistical delay QoS constraint. Considering two modulation schemes, namely, continuous MQAM and discrete MQAM with restricted constellations, we obtain the effective capacity of the secondary user's link, and derive the optimum power allocation scheme that maximizes the effective capacity in each case. Numerical simulations are conducted to corroborate our theoretical results.