Flexible Resource Allocation Schemes Research Articles

A Flexible Resource Allocation Scheme for NR V2X Based Vulnerable Road User Protection

A Flexible Resource Allocation Scheme for NR V2X Based Vulnerable Road User Protection

Multi-Antenna Interference Management for Coded Caching

A multi-antenna broadcast channel scenario is considered where a base station delivers contents to cache-enabled user terminals. A joint design of coded caching (CC) and multigroup multicast beamforming is proposed to benefit from spatial multiplexing gain, improved interference management and the global CC gain, simultaneously. The developed general content delivery strategies utilize the multiantenna multicasting opportunities provided by the CC technique while optimally balancing the detrimental impact of both noise and inter-stream interference from coded messages transmitted in parallel. Flexible resource allocation schemes for CC are introduced where the multicast beamformer design and the receiver complexity are controlled by varying the size of the subset of users served during a given time interval, and the overlap among the multicast messages transmitted in parallel, indicated by parameters $\alpha$ and $\beta$, respectively. Degrees of freedom (DoF) analysis is provided showing that the DoF only depends on $\alpha$ while it is independent of $\beta$. The proposed schemes are shown to provide the same degrees-of-freedom at high signal-to-noise ratio (SNR) as the state-of-art methods and, in general, to perform significantly better, especially in the finite SNR regime, than several baseline schemes.

User Satisfaction Based Resource Allocation Using Artificial Fish Swarm Algorithm for D2D Communication

D2D communication can facilitate diverse local services and ease the load of base station. However, traditional resource allocation schemes for D2D communication were simply aiming at maximizing the sum-rate capacity or minimizing the mutual interference of the system but ignoring users satisfaction, which were discussed usually under the premise that the system resource was sufficient for the fixed number of users or restricted in the flexibility of spectral reuse. In the resource constrained system, aiming at maximizing average system satisfaction degree, a more flexible resource allocation scheme based on optimized artificial fish swarm algorithm (USRA-AFSA) is proposed in this paper, in which user satisfaction degree models are established and different D2D links are allowed to coexist on the same subchannel. With solutions mapped onto artificial fish, the simulation results show that the proposed scheme achieves higher average system satisfaction degree and larger system throughput compared with other schemes.