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In this paper, we propose the Nash bargaining solution for the interference problem in cellular networks. The base-stations of neighboring cells negotiate with each other to determine the best number of channels that should be allocated to their edge users. While cells optimize the allocated resources on a local level, the bargaining process acts as a common framework that combines the optimization...
Smart antennas have received increasing interest due to its capability for improving the performance of wireless radio systems. In this work we studied the throughput maximization in a CDMA 1xEV-DO cellular system when a smart antenna array is implemented. We focus in the downlink of the CDMA cellular system and consider a packet data direct-sequence code division multiple access (DS-CDMA). We show...
This paper addresses the issues of coexistence for cognitive radio networks including both the coexistence between primary users (PUs) and secondary users (SUs), as well as the coexistence among SUs. The coexistence between SUs and PUs addresses the interference from SUs to PUs, whereas, the coexistence among SUs addresses sharing of identified spectrum opportunity among SUs to achieve efficient spectrum...
Recently, femtocell has been proposed as a good solution to increase the coverage area and capacity of the wireless communication system as well as meet the increasing demand for high data rate. The femtocell is low-cost, low-power and can be realized by deploying a femto-base-station connected to the core network via a wired-backhaul. Since the femtocell reuses the macrocell spectrum, co-channel...
This paper presents a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to improve the overall network performance and diminish negative effects (call dropping , HO failures). The proposed algorithm picks the best hysteresis and time-to-trigger combination for the current network status. We examined the effects of this self-optimizing...
We capture both the economical and technical aspects of the dynamic spectrum sharing to improve the underutilization of the scarce but valuable radio spectrum and the service providers' revenue. Especially, we investigate the optimal mapping between the service requester pool (SRP) and the service provider pool (SPP) in the coexistence context of multiple heterogenous cognitive radios. Both the optimal...
The optimal beamforming for cognitive multicast transmission is nonconvex rank-one constrained optimization problem. For a solution, a popular method is the combination of relaxed convex semi-definite programming, where the rank-one constraint is dropped, and randomization. We show that in many cases, this method cannot give satisfactory solutions. As an initial step, we develop a simple alternative...
We consider distributed multiple-input multiple-output systems with remote antennas (RA) connected to the base station via high-capacity backhaul, which are operated under the per-antenna power constraint (PAPC). We propose a simple strategy to determine the transmission power for each user, referred to as channel norm-based power control (NBPC) to obtain near-optimal performance in terms of the sum-rate...
Power control plays significant role in the cognitive network system where secondary users (SUs) co-exist with primary users (PUs), but the interference due to SUs may affect the performance of PUs. The approach of considering the outage probability of PU as quality of service (QoS) constraint, while using the maximization function of secondary user throughput is used in this paper. A generalized...
In this paper, we consider a system based on Orthogonal Frequency Division Multiple Access (OFDMA) and investigate the benefits of combining the Satisfaction Oriented Resource Allocation (SORA) algorithm, which aims at maximizing the number of satisfied users in a system, and Orthogonal Random Beamforming (ORB), which provides spatial multiplexing gains and has low computacional complexity, low signaling...
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