Successive Interference Cancellation in Wireless Networking
Summary
Successive interference cancellation (SIC) is a transformative signal‐processing technique that enhances spectral efficiency by enabling the receiver to sequentially extract and subtract stronger signals from a composite waveform, thereby uncovering weaker transmissions that would otherwise be lost in interference. Originating in information theory and now implemented in modern wireless standards, SIC underpins non-orthogonal multiple access (NOMA) schemes, multi-user detection and advanced relaying protocols. With the exponential growth of connected devices, ranging from Internet of Things sensors to 5G base stations, SIC offers a pathway to improve throughput, reduce latency and extend coverage without additional spectrum. At the physical layer, advances in superposition coding and adaptive power allocation have made real-time SIC feasible, even in hardware‐constrained devices. At higher layers, novel medium access control designs exploit SIC to allow concurrent transmissions, while machine-learning approaches optimise scheduling under uncertain channel conditions. The global significance of SIC is reflected in its adoption for uplink and downlink scenarios, enabling denser deployments, more reliable connectivity in urban environments and resilient links for mission-critical services.
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Successive Interference Cancellation in Wireless Networking publication trend
The graph below shows the total number of articles in successive interference cancellation in wireless networking across all publications each year (not limited to Nature Index journals).
Technical terms
Successive Interference Cancellation (SIC): A receiver technique that decodes and subtracts stronger interfering signals in sequence to recover weaker transmissions in a composite signal.
Non-Orthogonal Multiple Access (NOMA): A multiple access method that allows multiple users to share the same frequency resources through power‐domain multiplexing and successive decoding.
Superposition Coding: An encoding strategy that overlays multiple user data streams into a single transmitted waveform, facilitating joint reception and SIC.
Q-Learning: A model-free reinforcement learning algorithm that iteratively updates action‐value estimates based on received rewards to discover optimal policies.
Software-Defined Networking (SDN): A network architecture that separates the control logic from packet forwarding functions, enabling centralised and programmable resource management.
References
- Q-Learning Based Scheduling With Successive Interference Cancellation. IEEE Access (2020).
- Cancel‐Decode‐Encode Processing on Two‐Way Cooperative NOMA Schemes in Realistic Conditions. Wireless Communications and Mobile Computing (2021).
- A Novel Successive-Interference-Cancellation- Aware Design for Wireless Networks Using Software-Defined Networking. IEEE Access (2021).
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