Introduction to Linear Optimization
Introduction to Linear Optimization
Wireless Communications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A stochastic geometry approach to coexistence in heterogeneous wireless networks
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Resource allocation in an OFDM-based cognitive radio system
IEEE Transactions on Communications
OFDM for cognitive radio: merits and challenges
IEEE Wireless Communications
Opportunity detection for OFDMA-based cognitive radio systems with timing misalignment
IEEE Transactions on Wireless Communications
MIMO-OFDM Wireless Communications with MATLAB
MIMO-OFDM Wireless Communications with MATLAB
Dynamic multiuser resource allocation and adaptation for wireless systems
IEEE Wireless Communications
Downlink Radio Resource Allocation for Multi-Cell OFDMA System
IEEE Transactions on Wireless Communications
Resource Allocation for Wireless Multiuser OFDM Networks
IEEE Transactions on Information Theory
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This paper presents a novel framework to optimally solve the spectrum access problem at the central spectrum moderator (CSM) for multiple radio pairs. In the system model considered, the available spectrum is partitioned into N subcarriers, and the proposed CSM assigns subcarriers to multiple radio pairs with the objective to maximize the total achievable bit rate in the network. Each transceiver adopts the OFDM frontend, and transmits only on those subcarriers assigned to it. The proposed algorithm jointly considers the effect of interference from multiple co-channel radios, while at the same time supports all transmitters at their minimum guaranteed bit rate, under individual total transmit power constraint. Our proposed method converts the original NP-hard mixed integer non-linear programming problem into a mixed binary linear programming problem, which can be solved optimally using standard algorithms.