Resource Allocation for Interference Management in Wireless Networks

Interference in wireless networks is a major problem that impacts system performance quite substantially. Combined with the fact that the spectrum is limited and scarce, the performance and reliability of wireless systems significantly deteriorates and, hence, communication sessions are put at the risk of failure. In an attempt to make transmissions resilient to interference and, accordingly, design robust wireless systems, a diverse set of interference mitigation techniques are investigated in this dissertation. Depending on the rationale motivating the interfering node, interference can be divided into two categories, communication and jamming. For communication interference such as the interference created by legacy users(e.g., primary user transmitters in a cognitive radio network) at non-legacy or unlicensed users(e.g.,secondary user receivers), two mitigation techniques are presented in this dissertation. One exploits permutation trellis codes combined with M-ary frequency shift keying in order to make SU transmissions resilient to PUs’ interference, while the other utilizes frequency allocation as a mitigation technique against SU interference using Matching theory. For jamming interference, two mitigation techniques are also investigated here. One technique exploits time and structures a jammer mitigation framework through an automatic repeat request protocol. The other one utilizes power and, following a game-theoretic framework, employs a defense strategy against jamming based on a strategic power allocation. Superior performance of all of the proposed mitigation techniques is shown via numerical results

Permutation Trellis Coded Multi-level FSK Signaling to Mitigate Primary User Interference in Cognitive Radio Networks

We employ Permutation Trellis Code (PTC) based multi-level Frequency Shift Keying signaling to mitigate the impact of Primary Users (PUs) on the performance of Secondary Users (SUs) in Cognitive Radio Networks (CRNs). The PUs are assumed to be dynamic in that they appear intermittently and stay active for an unknown duration. Our approach is based on the use of PTC combined with multi-level FSK modulation so that an SU can improve its data rate by increasing its transmission bandwidth while operating at low power and not creating destructive interference for PUs. We evaluate system performance by obtaining an approximation for the actual Bit Error Rate (BER) using properties of the Viterbi decoder and carry out a thorough performance analysis in terms of BER and throughput. The results show that the proposed coded system achieves i) robustness by ensuring that SUs have stable throughput in the presence of heavy PU interference and ii) improved resiliency of SU links to interference in the presence of multiple dynamic PUs.Comment: 30 pages, 12 figure

Performance of Permutation Trellis Codes in Cognitive Radio Networks

In this paper, we investigate the error correction performance of Permutation Trellis Codes (PTC) combined with M -ary Frequency Shift Keying (M -FSK) modulation in Cognitive Radio Networks (CRNs). Using this modulation technique, a secondary user (SU) can improve its data rate by increasing its transmission bandwidth while operating at low power and without creating destructive interference to the primary users (PUs). Given an active PU, we first derive the bit error rate (BER) of the PTC based M-FSK system for a given SU link. For different PTCs, we compare the analytical BER with the corresponding simulation results. For the same transmitting power, bandwidth availability and transmission time, simulation results show that for a SU link, M-FSK scheme using PTC provides better protection against the interference caused by the PU than M-FSK schemes employing conventional error correction coding such as convolutional and low density parity check (LDPC) codes

On ARQ-Based Wireless Communication Systems in the Presence of a Strategic Jammer

We investigate the design and performance of ARQ-based systems for wireless point-to-point (P2P) communication links with perfect feedback channels in the presence of a strategic jammer over an additive white Gaussian noise channel subject to InterSymbol Interference (ISI). We define system-latency as the number of transmission attempts at the transmitter to achieve a successful transfer of a data packet to the receiver. We attempt to minimize it by modeling this as a constrained optimization problem where the system-latency is minimized such that the probability of successfully receiving a data packet at the receiver satisfies a prescribed guarantee. A game-theoretic formulation is provided. Numerical results are presented for illustration purposes